[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"site":3,"dtpr-en":20,"register":692,"register-intro-en":5780},{"id":4,"customer_id":5,"domain":6,"plausible_url":6,"locales":7,"default_locale":8,"display_site_logo":10,"title":11,"intro_text":12,"privacy_policy_url":12,"responsable_org_name":13,"responsable_org_email":12,"responsable_org_phone":12,"responsable_org_address":12,"header_link_active":14,"header_link_text":15,"header_link_url":16,"org_link_url":12,"org_link_active":10,"org_link_text":12,"modal_active":10,"modal_link_text":12,"modal_body":12,"register_active":14,"register_as_homepage":14,"disabled":10,"og_default_image_key":12,"site_logo_key":17,"background_splash_image_key":12,"responsable_org_logo_key":18,"home_page_sections":19},"1fe6af87-086f-476e-96b6-9b216899cf4c","79afa3e8-8bd3-416a-b704-06dec4d96f97","canada.clarable.ai",[8,9],"en","fr",false,"Government of Canada – AI Register",null,"Helpful Places",true,"This is NOT an official site of the Government of Canada. Click here for the official AI registry.","open.canada.ca\u002Fdata\u002Fen\u002Fdataset\u002Ffcbc0200-79ba-4fa4-94a6-00e32facea6b","sen936l4fh44x11hzhyw5f65gbkx","o6pscb3ddzmmvo4cv85iv72vgdh9",[],[21,27,32,37,42,47,52,57,62,67,73,77,83,88,93,98,103,108,113,119,124,129,134,139,144,149,154,159,164,169,174,179,184,189,194,199,204,209,214,219,224,229,235,240,245,250,255,260,265,270,275,280,285,290,295,300,305,310,315,320,325,331,336,341,346,352,358,363,368,372,376,380,383,387,391,395,399,403,407,411,416,421,426,431,436,441,446,451,456,461,466,471,476,481,486,491,496,501,506,511,516,521,526,531,536,541,546,551,556,561,566,571,576,581,586,591,596,601,606,610,615,620,625,630,635,637,642,647,652,657,662,667,672,677,682,687],{"id":22,"icon":23,"category":24,"description":25,"title":26},"access__available_for_resale","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Favailable_for_resale.svg","access","The data collected may be resold to other 3rd parties","Available for resale",{"id":28,"icon":29,"category":24,"description":30,"title":31},"access__available_to_3rd_parties","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Favailable_to_3rd_parties.svg","Data is available to 3rd parties not involved in the data activity. This does not always mean that data is being resold.","Available to 3rd parties",{"id":33,"icon":34,"category":24,"description":35,"title":36},"access__available_to_download","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Favailable_to_download.svg","Data that can be accessed and downloaded online, either for free or for a fee","Available to download",{"id":38,"icon":39,"category":24,"description":40,"title":41},"access__available_to_me","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Favailable_to_me.svg","Available to me but not to other individuals. For example, as an individual you have access to all your electronic toll records for your car, but other individuals do not have access to that.","Available to me",{"id":43,"icon":44,"category":24,"description":45,"title":46},"access__available_to_the_accountable_organization","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Favailable_to_the_accountable_organization.svg","Data is available to the accountable organization","Available to the accountable organization",{"id":48,"icon":49,"category":24,"description":50,"title":51},"access__available_to_vendor","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Favailable_to_vendor.svg","Data is available to the data collection or technology provider","Available to vendor",{"id":53,"icon":54,"category":24,"description":55,"title":56},"access__not_available_to_me","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fnot_available_to_me.svg","Not available to me or other individuals. As an individual, there isn't a way for you to access this data.","Not available to me",{"id":58,"icon":59,"category":24,"description":60,"title":61},"access__not_available_to_the_accountable_organization","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fnot_available_to_the_accountable_organization.svg","Data is not available to the accountable organization","Not available to the accountable organization",{"id":63,"icon":64,"category":24,"description":65,"title":66},"access__not_available_to_vendor","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fnot_available_to_vendor.svg","Data is not available to the data collection or technology provider.","Not available to vendor",{"id":68,"icon":69,"category":70,"description":71,"title":72},"accountable__institution","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Finstitution.svg","accountable","The entity that is responsible and accountable for this data collection activity","Institution",{"id":74,"icon":75,"category":70,"description":71,"title":76},"accountable__organization","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Forganization.svg","Organization",{"id":78,"icon":79,"category":80,"description":81,"title":82},"data__binary","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fbinary.svg","data","Compressed data into a binary format.","Binary",{"id":84,"icon":85,"category":80,"description":86,"title":87},"data__boolean","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fboolean.svg","Data that has one of two data values, for example true and false.","Boolean",{"id":89,"icon":90,"category":80,"description":91,"title":92},"data__personal","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fpersonal.svg","Information about identifiable individuals.","Personal  ",{"id":94,"icon":95,"category":80,"description":96,"title":97},"data__pixel_based_image","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fpixel_based_image.svg","A digital image is composed of a grid of individual pixels.","Pixel-based Image",{"id":99,"icon":100,"category":80,"description":101,"title":102},"data__spatial","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fspatial.svg","Data that represents a location, such as an address, a place name or geographic coordinates; or a structure, such as a floorplan.","Spatial",{"id":104,"icon":105,"category":80,"description":106,"title":107},"data__tabular","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Ftabular.svg","Data that is stored in a table, where values are stored in rows and columns.","Tabular",{"id":109,"icon":110,"category":80,"description":111,"title":112},"data__values_time","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fvalues_time.svg","Measurements that are collected at regular intervals over a period of time.","Values \u002F Time",{"id":114,"icon":115,"category":116,"description":117,"title":118},"process__aggregated","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Faggregated.svg","process","Data that has been grouped or summarized from individual measurements, for example to count up totals or to calculate an average.","Aggregated",{"id":120,"icon":121,"category":116,"description":122,"title":123},"process__ai_system","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fai_system.svg","Data that is processed by automated, algorithmic or artificial intelligence systems to derive a new result or data point.","AI System",{"id":125,"icon":126,"category":116,"description":127,"title":128},"process__bitmap_manipulation","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fbitmap_manipulation.svg","Bitmap manipulation is the process of altering pixels in a raster-based image, such as retouching a digital photograph.","Bitmap manipulation",{"id":130,"icon":131,"category":116,"description":132,"title":133},"process__code_signing","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fcode_signing.svg","Code signing is the process of digitally signing executables and scripts to confirm the software author and guarantee that the code has not been altered or corrupted since it was signed. The process employs the use of a cryptographic hash to validate authenticity and integrity.","Code signing",{"id":135,"icon":136,"category":116,"description":137,"title":138},"process__computer_vision","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fcomputer_vision.svg","Computer vision refers to computer science methodologies that enable computers to derive data from digital images or video.","Computer vision",{"id":140,"icon":141,"category":116,"description":142,"title":143},"process__cryptonets","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fcryptonets.svg","Cryptonets are neural networks that can be applied to encrypted data. Due to this capability it is not required to decrypt the data during processing and because of this it is not necessary to even provide the application host with the keys to decrypt the data. Cryptonets are an implementation of Homomorphic Encryption.","Cryptonets",{"id":145,"icon":146,"category":116,"description":147,"title":148},"process__de_identified","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fde_identified.svg","Data that is processed to remove identifying values, usually to protect privacy. De-identification can happen at any point in a data collection process, for example before it is stored in a database, or before it is published. Here we define it to mean after the data has already left a hardware device, or after it has been stored in a database.","De-identified",{"id":150,"icon":151,"category":116,"description":152,"title":153},"process__differential_privacy","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fdifferential_privacy.svg","Differential privacy is a system for publicly sharing information about a dataset by describing the patterns of groups within the dataset while withholding information about individuals in the dataset.","Differential privacy",{"id":155,"icon":156,"category":116,"description":157,"title":158},"process__encrypted","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fencrypted.svg","Data has been encoded so that only authorized parties can access it, which can reduce risk related to handling private or sensitive information.","Encrypted",{"id":160,"icon":161,"category":116,"description":162,"title":163},"process__encrypted_at_rest","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fencrypted_at_rest.svg","Encryption at Rest is the encryption of data when it is persisted to a storage medium like a drive or database. It protects the data against unauthorized access of the database itself.","Encrypted at Rest",{"id":165,"icon":166,"category":116,"description":167,"title":168},"process__federated_learning","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Ffederated_learning.svg","Federated Learning involves both Edge Computing and a Cloud based process which allows machine learning to take place on a large body of decentralized de-identified data.","Federated learning",{"id":170,"icon":171,"category":116,"description":172,"title":173},"process__hardware_audits","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fhardware_audits.svg","3rd Party auditing specialists periodically examine the hardware & firmware to identify security best practice vulnerabilities and\u002For gaps in disclosure when it comes to the type of data the device is capturing and how it is being processed.","Hardware audits",{"id":175,"icon":176,"category":116,"description":177,"title":178},"process__homomorphic_encryption","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fhomomorphic_encryption.svg","Homomorphic encryption is a form of encryption that allows computation on ciphertexts, generating an encrypted result which, when decrypted, matches the result of the operations as if they had been performed on the plaintext.","Homomorphic encryption",{"id":180,"icon":181,"category":116,"description":182,"title":183},"process__immutable_query_ledger","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fimmutable_query_ledger.svg","All interactions with the data throughout its lifecycle, including access and any transformations that are applied are registered in an immutable query ledger creating an auditable chain of accountability mediated by a distributed database.","Immutable Query Ledger",{"id":185,"icon":186,"category":116,"description":187,"title":188},"process__k_anonymity","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fk_anonymity.svg","K-Anonymity is used to ensure anonymity when disclosing otherwise personally identifiable data. Attributes of the data are suppressed or generalized until each row is identical with at least k-1 other rows. At this point the database is said to be k-anonymous.","K-Anonymity",{"id":190,"icon":191,"category":116,"description":192,"title":193},"process__raw_data","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fraw_data.svg","Data that has not been processed or altered from the point of collection - the data is effectively identical to how it was gathered from the original data source.","Raw data",{"id":195,"icon":196,"category":116,"description":197,"title":198},"process__rdua_approved","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Frdua_approved.svg","Data activity has undergone a Responsible Data Use Assessment and determined to provide a net benefit. The RDUA is a process that Sidewalk Labs conducts prior to the start of any data activity.","RDUA Approved",{"id":200,"icon":201,"category":116,"description":202,"title":203},"process__regulated","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fregulated.svg","Depending on the jurisdiction and type of data, data is regulated in various ways","Regulated",{"id":205,"icon":206,"category":116,"description":207,"title":208},"process__reviewed_internally","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Freviewed_internally.svg","Many organizations have internal review processes that consider the potential benefits, risks and implications for privacy for new technologies or data collection activities.","Reviewed Internally",{"id":210,"icon":211,"category":116,"description":212,"title":213},"process__secure_multi_party_computing","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fsecure_multi_party_computing.svg","Secure multi-party computation is a subfield of cryptography with the goal of creating methods for parties to jointly compute a function over their inputs while keeping those inputs private. It allows participants to generate aggregated insights from data while keeping the individual items of data secret.","Secure Multi-Party Computing",{"id":215,"icon":216,"category":116,"description":217,"title":218},"process__transport_layer_security","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Ftransport_layer_security.svg","Transport Layer Security, or TLS, is a widely adopted security protocol designed to facilitate privacy and data security for communications over the Internet by encrypting data while it is in.","Transport Layer Security",{"id":220,"icon":221,"category":116,"description":222,"title":223},"process__trusted_execution_environment","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Ftrusted_execution_environment.svg","A TEE is an isolated environment created using  special purpose hardware and software to protect the data stored inside. A TEE provides a “trusted environment” inside which a process can run while it is invisible to any other process on the processor, the operating system or any other type of privileged access. ","Trusted Execution Environment ",{"id":225,"icon":226,"category":116,"description":227,"title":228},"process__zero_knowledge_proofs","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fzero_knowledge_proofs.svg","A Zero Knowledge Proof is a method by which one party can prove to another party that they know a value, without conveying any additional information such as the value itself.","Zero Knowledge Proofs",{"id":230,"icon":231,"category":232,"description":233,"title":234},"purpose__accessibility","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Faccessibility.svg","purpose","Ensures that everyone has equal access to a space or a service.","Accessibility",{"id":236,"icon":237,"category":232,"description":238,"title":239},"purpose__agency_interaction","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fagency_interaction.svg","Enables you to control or interact with aspects of a space or a technology.","Agency & Interaction",{"id":241,"icon":242,"category":232,"description":243,"title":244},"purpose__arts_culture","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Farts_culture.svg","Enables artistic and\u002For cultural expression.","Arts & Culture",{"id":246,"icon":247,"category":232,"description":248,"title":249},"purpose__commerce","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fcommerce.svg","Enables the buying and selling of goods and services.","Commerce",{"id":251,"icon":252,"category":232,"description":253,"title":254},"purpose__connectivity","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fconnectivity.svg","Enables a user to connect to a network, such as the internet","Connectivity",{"id":256,"icon":257,"category":232,"description":258,"title":259},"purpose__dining","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fdining.svg","For providing food or meal services.","Dining",{"id":261,"icon":262,"category":232,"description":263,"title":264},"purpose__ecology","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fecology.svg","Supports the measurement or monitoring of the natural environment.","Ecology",{"id":266,"icon":267,"category":232,"description":268,"title":269},"purpose__energy_efficiency","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fenergy_efficiency.svg","Reduces energy use and\u002For helps conserve energy.","Energy Efficiency",{"id":271,"icon":272,"category":232,"description":273,"title":274},"purpose__enforcement","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fenforcement.svg","Used for enforcement of rules or regulations.","Enforcement",{"id":276,"icon":277,"category":232,"description":278,"title":279},"purpose__entry","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fentry.svg","Supports authentication or validation in order to access a space or a service.","Entry",{"id":281,"icon":282,"category":232,"description":283,"title":284},"purpose__fire_emergency","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Ffire_emergency.svg","Supports services that ensure public safety and health related to emergencies.","Fire & Emergency",{"id":286,"icon":287,"category":232,"description":288,"title":289},"purpose__health","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fhealth.svg","Supports the measurement or monitoring of the aspects of the physical environment that impacts human health, such as radiation or air quality, or in specific contexts such as the workplace.","Health",{"id":291,"icon":292,"category":232,"description":293,"title":294},"purpose__inform","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Finform.svg","Supports the provision of information, for example about a location, a service, or to provide assistance","Inform",{"id":296,"icon":297,"category":232,"description":298,"title":299},"purpose__logistics","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Flogistics.svg","Supports the movements of goods or materials.","Logistics",{"id":301,"icon":302,"category":232,"description":303,"title":304},"purpose__mobility","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fmobility.svg","Supports how people and materials move around.","Mobility",{"id":306,"icon":307,"category":232,"description":308,"title":309},"purpose__planning_decision_making","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fplanning_decision_making.svg","Supports the development of future plans; or to enable or measure the impact of a decision.","Planning & Decision-making",{"id":311,"icon":312,"category":232,"description":313,"title":314},"purpose__research_development","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fresearch_development.svg","Supports exploratory research and testing.","Research & Development",{"id":316,"icon":317,"category":232,"description":318,"title":319},"purpose__safety_security","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fsafety_security.svg","Enables a safe and\u002For secure environment, for example for the purposes of fire safety, home security or ensuring safe passage in places such as airports or roads","Safety & Security",{"id":321,"icon":322,"category":232,"description":323,"title":324},"purpose__social","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fsocial.svg","For interacting with another person or a group.","Social",{"id":326,"icon":327,"category":328,"description":329,"title":330},"purpose__switch","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fswitch_tech.svg","tech","Supports a mechanical function - such as turning a device on or off, opening or closing, or adjusting brightness and intensity.","Switch",{"id":332,"icon":333,"category":232,"description":334,"title":335},"purpose__waste_management","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fwaste_management.svg","Supports the handling and disposal of waste, including as recyclables, compost and hazardous materials.","Waste Management",{"id":337,"icon":338,"category":232,"description":339,"title":340},"purpose__water_efficiency","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fwater_efficiency.svg","Reduces water use and\u002For helps conserve water.","Water Efficiency",{"id":342,"icon":343,"category":232,"description":344,"title":345},"purpose__wayfinding_services","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fwayfinding_services.svg","Enables navigation of a location and its amenities and services.","Wayfinding & Services",{"id":347,"icon":348,"category":349,"description":350,"title":351},"retention__retained_2_years","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fis_retained.svg","retention","Data is stored for two years, and after this time period is deleted","Retained 2 years",{"id":353,"icon":354,"category":355,"description":356,"title":357},"storage__backed_up_internationally","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fbacked_up_internationally.svg","storage","Data is backed up outside the jurisdiction where it was collected.","Backed up internationally",{"id":359,"icon":360,"category":355,"description":361,"title":362},"storage__backed_up_locally","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fbacked_up_locally.svg","Data is backed up with the jurisdiction where it was collected.","Backed up locally",{"id":364,"icon":365,"category":355,"description":366,"title":367},"storage__no_data_retained","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fno_data_retained.svg","No data is kept or stored","No data retained",{"id":369,"icon":348,"category":355,"description":370,"title":371},"storage__retained_1_month","Data is stored for 1 month, and after this time period is deleted","Retained 1 month",{"id":373,"icon":348,"category":355,"description":374,"title":375},"storage__retained_1_year","Data is stored for 1 year, and after this time period is deleted","Retained 1 year",{"id":377,"icon":348,"category":355,"description":378,"title":379},"storage__retained_24_hours","Data is stored for 24 hours, and after this time period is deleted","Retained 24 hours",{"id":381,"icon":348,"category":355,"description":382,"title":351},"storage__retained_2_years","Data is stored for 2 years, and then after that time period is deleted.",{"id":384,"icon":348,"category":355,"description":385,"title":386},"storage__retained_3_months","Data is stored for 3 months, and after this time period is deleted","Retained 3 months",{"id":388,"icon":348,"category":355,"description":389,"title":390},"storage__retained_5_years","Data is stored for 5 years, and after this time period is deleted","Retained 5 years",{"id":392,"icon":348,"category":355,"description":393,"title":394},"storage__retained_6_months","Data is stored for 6 months, and after this time period is deleted","Retained 6 months",{"id":396,"icon":348,"category":355,"description":397,"title":398},"storage__retained_7_years","Data is stored for 7 years, and after this time period is deleted","Retained 7 years",{"id":400,"icon":348,"category":355,"description":401,"title":402},"storage__retained_indefinitely","Data is retained indefinitely","Retained indefinitely",{"id":404,"icon":348,"category":355,"description":405,"title":406},"storage__retained_six_years","Data is stored for 6 years, and after this time period is deleted","Retained 6 Years",{"id":408,"icon":348,"category":355,"description":409,"title":410},"storage__retained_two_weeks","Data is stored for two weeks, and after this time period is deleted","Retained two weeks",{"id":412,"icon":413,"category":355,"description":414,"title":415},"storage__shared_storage_and_governance","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fshared_storage_and_governance.svg","In a shared data store model the data store is shared across multiple parties and because the infrastructure is shared it becomes possible to enforce governance around the retention, access and destruction of the data by policies built into the structure of the data itself.","Shared storage and governance",{"id":417,"icon":418,"category":355,"description":419,"title":420},"storage__stored_locally","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fstored_locally.svg","Data is stored in the jurisdiction where it was collected.","Stored locally",{"id":422,"icon":423,"category":355,"description":424,"title":425},"storage__stored_on_3rd_party_cloud","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fstored_on_3rd_party_cloud.svg","Data is stored on behalf of the organization or the data collector in an off-site data centre, such as Amazon Web Services, Google Cloud and Microsoft Azure","Stored on 3rd Party Cloud",{"id":427,"icon":428,"category":355,"description":429,"title":430},"storage__stored_primarily_internationally","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fstored_primarily_internationally.svg","Data is stored outside the jurisdiction where it was collected.","Stored primarily internationally",{"id":432,"icon":433,"category":355,"description":434,"title":435},"storage__stored_primarily_locally","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fstored_primarily_locally.svg","Data is stored mainly in the jurisdiction where it was collected.","Stored primarily locally",{"id":437,"icon":438,"category":328,"description":439,"title":440},"tech__air_quality","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fair_quality.svg","Measures various aspects of air quality, such as pollen, particulate matter, ozone, and greenhouse gases.","Air Quality",{"id":442,"icon":443,"category":328,"description":444,"title":445},"tech__assistance_station","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fassistance_station.svg","Provides access to assistive services. Examples include assistive technologies and virtual assistants","Assistance Station",{"id":447,"icon":448,"category":328,"description":449,"title":450},"tech__augmented_reality","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Faugmented_reality.svg","Augmented reality is a technology that combines both physical and digital content to create interactive experiences and content.","Augmented Reality",{"id":452,"icon":453,"category":328,"description":454,"title":455},"tech__biometrics","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fbiometrics.svg","Biometrics are body measurements and calculations related to human characteristics.","Biometrics",{"id":457,"icon":458,"category":328,"description":459,"title":460},"tech__cellular","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fcellular.svg","This devices uses a cellular communication network where the last link is wireless, enabling portable transceivers (e.g., mobile phones) to communicate with each other and with fixed transceivers and telephones anywhere in the network.","Cellular",{"id":462,"icon":463,"category":328,"description":464,"title":465},"tech__chatbot","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fchatbot.svg","A chatbot is a computer program designed to simulate human conversation with users.","Chatbot",{"id":467,"icon":468,"category":328,"description":469,"title":470},"tech__contactless_payments","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fcontactless_payments.svg","Contactless payment systems are are credit cards and debit cards, key fobs, smart cards, or other devices, including smartphones and other mobile devices, that use radio-frequency identification (RFID) or near field communication (NFC) for making secure payments.","Contactless Payments",{"id":472,"icon":473,"category":328,"description":474,"title":475},"tech__de_identified_image","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fde_identified_image.svg","Generates still images of a sufficient resolution where individuals can be identified, for example by capturing images of faces or unique numbers such as vehicle license plates. However, images are processed in a way that removes identifying characteristics before it is used or stored (known as *de-identified before first use* or *de-identified on device*), for example by blurring faces using computer vision.","De-identified Image",{"id":477,"icon":478,"category":328,"description":479,"title":480},"tech__de_identified_video","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fde_identified_video.svg","Generates video footage of a sufficient resolution where individuals can be identified, for example by capturing images of faces or unique numbers such as vehicle license plates. However, the video is processed in a way that removes identifying characteristics before it is used or stored (known as *de-identified before first use* or *de-identified on device*), for example by blurring faces using computer vision.","De-identified Video",{"id":482,"icon":483,"category":328,"description":484,"title":485},"tech__de_identified_voice","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fde_identified_voice.svg","Generates audio data that can identify individuals, but the data is processed in a way that removes identifying characteristics before it is used or stored (known as *de-identified before first use* or *de-identified on device*).","De-identified Voice",{"id":487,"icon":488,"category":328,"description":489,"title":490},"tech__dtpr_api","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fdtpr_api.svg","The DTPR API provides machine-readable access to a place-centric registry of systems and sensors that are described using the open-source DTPR taxonomy.","DTPR API",{"id":492,"icon":493,"category":328,"description":494,"title":495},"tech__electric_vehicle_charger","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Felectric_vehicle_charger.svg","An electric vehicle charger (EV charger) supplies power for recharging plug-in electric vehicles.","Electric vehicle charger",{"id":497,"icon":498,"category":328,"description":499,"title":500},"tech__facial_characterization","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Ffacial_characterization.svg","Facial characterization allows a system to make inferences such as gender, facial expression, and age range, but does not identify individuals. The technology does not retain or use any personally identifiable information.","Facial characterization",{"id":502,"icon":503,"category":328,"description":504,"title":505},"tech__gps","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fgps.svg","GPS is one of the global navigation satellite systems that provides geolocation and time information to a GPS receiver anywhere on or near the Earth where there is an unobstructed line of sight to four or more GPS satellites.","GPS",{"id":507,"icon":508,"category":328,"description":509,"title":510},"tech__hands_free","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fhands_free.svg","Describes a technology where the primary mode of interaction does not require the use of hands, for example, devices that respond to voice commands or gesture based \"touchless\" interfaces.","Hands-free",{"id":512,"icon":513,"category":328,"description":514,"title":515},"tech__identifiable_image","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fidentifiable_image.svg","Generates still images of a sufficient resolution where individuals can be identified, for example by capturing images of faces or unique numbers such as vehicle license plates. Identifying information can be collected either through manual review of images by a person, or through computer vision techniques that derives information in the form of data from images.","Identifiable Image",{"id":517,"icon":518,"category":328,"description":519,"title":520},"tech__identifiable_nfc","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fidentifiable_nfc.svg","A wireless communication protocol for electronic devices that are within a short distance of each other, typically used in ticketing or payment systems. In this case, unique identification is possible, for example if a particular item is closely associated with an individual's personal data.","Identifiable NFC",{"id":522,"icon":523,"category":328,"description":524,"title":525},"tech__identifiable_rfid","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fidentifiable_rfid.svg","Enables the identification of items using electromagnetic fields, commonly used to track inventory in stores. In this case, unique identification is possible, for example if a particular item is closely associated with an individual's personal data.","Identifiable RFID",{"id":527,"icon":528,"category":328,"description":529,"title":530},"tech__identifiable_video","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fidentifiable_video.svg","Generates video footage of a sufficient resolution where individuals can be identified, for example by capturing images of faces or unique numbers such as vehicle license plates. Identifying information can be collected either through manual review by a person, or through computer vision techniques that derives information in the form of data from video or images.","Identifiable Video",{"id":532,"icon":533,"category":328,"description":534,"title":535},"tech__identifiable_wifi_sensor","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fidentifiable_wifi_sensor.svg","WiFi sensors measure the strength of the wireless signals from cell phones and other mobile devices.  These measurements can be used to track the positions and movement of these devices in physical space. This may be associated with the hardware addresses of the devices themselves.","Identifiable WiFi Sensor",{"id":537,"icon":538,"category":328,"description":539,"title":540},"tech__image","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fimage.svg","Generates still images.","Image",{"id":542,"icon":543,"category":328,"description":544,"title":545},"tech__image_infrared","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fimage_infrared.svg","Generates still images in the infrared portion of the electromagnetic spectrum.","Image - infrared",{"id":547,"icon":548,"category":328,"description":549,"title":550},"tech__inclinometer","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Finclinometer.svg","Measures the slope, angle or tilt of objects based on gravity.","Inclinometer",{"id":552,"icon":553,"category":328,"description":554,"title":555},"tech__induction_loop","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Finduction_loop.svg","An induction loop uses a moving magnet to generate an electric current in a nearby wire. When a metal object moves close to the wire it changes the current. This makes it useful for detecting vehicles or other metal objects.","Induction Loop",{"id":557,"icon":558,"category":328,"description":559,"title":560},"tech__intercom","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fintercom.svg","An intercom (intercommunication device) is a stand-alone voice communications system for use within a building or small collection of buildings, and is separate from other communications networks (such as the telephone system).","Intercom",{"id":562,"icon":563,"category":328,"description":564,"title":565},"tech__li_dar","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fli_dar.svg","Uses lasers to measure distances to objects, collecting data that can create a 3-D representation of the object.","LiDAR",{"id":567,"icon":568,"category":328,"description":569,"title":570},"tech__location_beacon","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Flocation_beacon.svg","Beacons are Bluetooth low energy (LE) hardware transmitters  that broadcast their identifier to nearby portable electronic devices. The technology enables smartphones, tablets and other devices to perform actions when in close proximity to a beacon.","Location Beacon",{"id":572,"icon":573,"category":328,"description":574,"title":575},"tech__microphone","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fmicrophone.svg","A device that generates audio.","Microphone",{"id":577,"icon":578,"category":328,"description":579,"title":580},"tech__motion_detector","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fmotion_detector.svg","A sensor that detects the movement of nearby objects.","Motion Detector",{"id":582,"icon":583,"category":328,"description":584,"title":585},"tech__nfc","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fnfc.svg","A wireless communication protocol for electronic devices that are within a short distance of each other, typically used in ticketing or payment systems. No identifying data is collected in this case.","NFC",{"id":587,"icon":588,"category":328,"description":589,"title":590},"tech__non_identifiable_video","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fnon_identifiable_video.svg","Generates video footage incapable of identifying individuals due to factors such as low-resolution, so that faces or unique numbers such as vehicle license plates cannot be determined.","Non-identifiable Video",{"id":592,"icon":593,"category":328,"description":594,"title":595},"tech__passive_infrared_sensor","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fpassive_infrared_sensor.svg","An electronic sensor that measures infrared (IR) light radiating from objects in its field of view.","Passive Infrared Sensor",{"id":597,"icon":598,"category":328,"description":599,"title":600},"tech__person_detection","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fperson_detection.svg","Person detection refers to when a system can detect the presence of humans in images or videos, and identify where they are located or how many there are in an image, but does not identify individuals. The technology does not retain or use any personally identifiable information.","Person detection",{"id":602,"icon":603,"category":328,"description":604,"title":605},"tech__personal_device","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fpersonal_device.svg","A mobile device that combines cellular and mobile computing functions into one unit, that is intended for use by one person.","Personal Device",{"id":607,"icon":548,"category":328,"description":608,"title":609},"tech__piezoelectric_sensor","Measures changes in pressure, acceleration, temperature, strain, or force by converting them to an electrical charge.","Piezoelectric sensor",{"id":611,"icon":612,"category":328,"description":613,"title":614},"tech__radar","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fradar.svg","Uses radio waves to detect objects, or measure how they are moving through a space, such as vehicles.","Radar",{"id":616,"icon":617,"category":328,"description":618,"title":619},"tech__rfid","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Frfid.svg","Enables the identification of items using electromagnetic fields, commonly used to track inventory in stores, but not for identifying individual items.","RFID",{"id":621,"icon":622,"category":328,"description":623,"title":624},"tech__soil_moisture_sensor","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fsoil_moisture_sensor.svg","Soil moisture sensors measures the water content in soil.","Soil Moisture Sensor",{"id":626,"icon":627,"category":328,"description":628,"title":629},"tech__sound_level_meter","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fsound_level_meter.svg","Takes acoustic measurements, most typically for measuring noise pollution.","Sound Level Meter",{"id":631,"icon":632,"category":328,"description":633,"title":634},"tech__system_screen","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fsystem_screen.svg","People can interact with this digital system using the screen that is provided as part of device installation.","System Screen",{"id":636,"icon":327,"category":328,"description":329,"title":330},"tech__technology_switch",{"id":638,"icon":639,"category":328,"description":640,"title":641},"tech__thermometer","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fthermometer.svg","Measures the temperature of or changes of temperature in the physical environment, and quantifies those attributes according to a standardized scale such as Celsius or Fahrenheit.","Thermometer",{"id":643,"icon":644,"category":328,"description":645,"title":646},"tech__ultrasonic_level_sensor","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fultrasonic_level_sensor.svg","Uses ultrasonic waves to measure distances to objects. The sensor emits an ultrasonic wave and receives the wave reflected back from the object. The distance is calculated using the time between emission and reception.","Ultrasonic Sensor",{"id":648,"icon":649,"category":328,"description":650,"title":651},"tech__unmanned_aircraft_system","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Funmanned_aircraft_system.svg","An unmanned aircraft system (UAS) consists of an unmanned aircraft and the equipment necessary for the safe and effective operation of that aircraft. An unmanned aerial vehicle (UAV) is one component of this system.","Unmanned Aircraft System",{"id":653,"icon":654,"category":328,"description":655,"title":656},"tech__video_camera","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fvideo_camera.svg","Generates video footage.","Video camera",{"id":658,"icon":659,"category":328,"description":660,"title":661},"tech__video_camera_infrared","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fvideo_camera_infrared.svg","Generates video footage in the infrared portion of the electromagnetic spectrum.","Video camera - infrared",{"id":663,"icon":664,"category":328,"description":665,"title":666},"tech__voice","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fvoice.svg","Audio data is collected that does or can identify individuals, either through manual review or by technologies that can determine either what is being said, or who is saying it.","Voice",{"id":668,"icon":669,"category":328,"description":670,"title":671},"tech__water_quality","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fwater_quality.svg","Measures various aspects of water quality, such as the amount of dissolved oxygen in water, pH, nitrates and dissolved oxygen.","Water Quality",{"id":673,"icon":674,"category":328,"description":675,"title":676},"tech__weather_station","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fweather_station.svg","A set of instruments for measuring atmospheric conditions such as temperature, precipitation, wind speed and direction, and barometric pressure.","Weather Station",{"id":678,"icon":679,"category":328,"description":680,"title":681},"tech__weighing_scale","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fweighing_scale.svg","A weighing scale is a device to measure weight or mass. No identifying data is collected in this case.","Weighing Scale",{"id":683,"icon":684,"category":328,"description":685,"title":686},"tech__wireless_access_point","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fwireless_access_point.svg","Provides wireless access to a wired computer network, or to the internet.","Wireless Access Point",{"id":688,"icon":689,"category":328,"description":690,"title":691},"tech__wireless_charging_roadway","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fwireless_charging_roadway.svg","Copper coil segments buried under the road are activated to charge an electric vehicle battery using magnetic induction, which means that electric vehicles equipped with a special receiver can be charged while it is driving along or is parked over the road.","Wireless Charging Roadway",{"register":693},{"devices":694,"algorithms":695},[],[696,714,729,750,764,779,790,804,825,839,851,866,879,890,901,915,927,939,952,966,978,990,1005,1016,1034,1045,1059,1071,1082,1093,1106,1119,1133,1145,1157,1169,1182,1194,1206,1219,1230,1242,1255,1266,1277,1288,1301,1313,1325,1337,1350,1364,1377,1389,1400,1411,1423,1434,1446,1458,1470,1482,1493,1505,1516,1531,1543,1554,1566,1577,1590,1609,1620,1633,1644,1655,1669,1680,1691,1702,1713,1726,1740,1752,1764,1775,1788,1799,1810,1821,1832,1844,1855,1867,1880,1895,1906,1918,1930,1943,1954,1969,1981,1992,2004,2016,2027,2039,2051,2063,2074,2085,2096,2108,2121,2132,2143,2156,2167,2179,2191,2205,2216,2230,2243,2255,2267,2280,2292,2306,2317,2330,2342,2354,2366,2379,2391,2405,2416,2428,2441,2452,2465,2476,2488,2499,2510,2521,2533,2545,2557,2569,2582,2596,2610,2623,2634,2647,2658,2671,2682,2694,2706,2718,2731,2742,2756,2767,2778,2789,2801,2812,2823,2834,2845,2857,2872,2884,2896,2907,2922,2934,2945,2956,2968,2979,2992,3003,3014,3025,3036,3048,3059,3074,3086,3097,3112,3124,3135,3148,3159,3170,3185,3197,3211,3226,3241,3252,3264,3278,3291,3304,3315,3329,3341,3353,3366,3378,3390,3402,3414,3425,3439,3450,3464,3477,3488,3499,3510,3522,3534,3546,3557,3569,3582,3593,3607,3618,3630,3641,3652,3664,3675,3687,3699,3713,3725,3737,3749,3761,3775,3786,3798,3810,3822,3833,3845,3857,3868,3880,3892,3903,3916,3928,3941,3952,3964,3975,3989,4001,4012,4023,4037,4049,4061,4072,4084,4096,4108,4119,4129,4144,4159,4170,4184,4195,4207,4220,4232,4244,4255,4267,4278,4289,4300,4312,4325,4336,4348,4360,4372,4384,4396,4408,4420,4431,4443,4455,4467,4478,4489,4501,4512,4524,4536,4548,4560,4571,4582,4594,4605,4616,4628,4641,4652,4663,4676,4690,4701,4718,4730,4743,4756,4768,4780,4791,4802,4815,4827,4838,4850,4862,4874,4886,4897,4908,4921,4932,4943,4955,4966,4978,4990,5002,5015,5026,5037,5047,5060,5072,5083,5095,5106,5117,5130,5143,5155,5169,5180,5191,5202,5214,5226,5237,5248,5263,5273,5285,5298,5310,5324,5335,5350,5362,5374,5386,5398,5411,5423,5435,5448,5459,5470,5481,5492,5504,5516,5527,5540,5553,5565,5576,5587,5598,5610,5621,5634,5646,5658,5672,5683,5695,5708,5721,5732,5746,5757,5769],{"id":697,"headline":698,"subtitle":12,"intro_body":699,"labels":700,"dtpr_summary":701},"1bd037e3-364b-45ba-910c-27a6b5be2980","AI-Powered Census Comment Analysis Tool","Statistics Canada uses an artificial intelligence system to automatically classify and organize comments submitted by census respondents. The Census Comments Classifier uses advanced natural language processing and deep learning technology to sort respondent feedback into relevant subject areas and general census themes, helping researchers and analysts better understand public input. This system is currently in production and is used by Government of Canada employees to process and analyze census survey comments. The system does not involve personal information in its decision-making process, focusing instead on the content and themes of the comments themselves.",[],{"purposes":702,"decision_types":707,"accountable":711},[703,705],{"id":704,"title":309,"icon":307,"key":309},"planning_decision_making",{"id":706,"title":294,"icon":292,"key":294},"inform",[708],{"id":709,"title":710,"icon":488,"key":710},"classification","Classification",{"id":712,"title":713,"icon":75,"key":713},"organization","Statistics Canada",{"id":715,"headline":716,"subtitle":12,"intro_body":717,"labels":718,"dtpr_summary":719},"de10556b-fd60-4ecd-9a88-93d6f1947ff6","AI-Powered Survey Comment Classification System","Statistics Canada developed the Annual Survey Manufacturing and Logging Industries (ASML) Comments Classification system to automatically organize and triage respondent feedback from business surveys. The system uses advanced language processing to group comments by topic and actionability, helping analysts quickly identify and address the most important feedback.\n\nThis system is now retired and is no longer in active use. When operational, it was used by Government of Canada employees to streamline the manual review process and improve the survey experience for respondents. The system does not process personal information, focusing instead on the content and themes of comments submitted through the ASML and CAPEX surveys.\n\nKey facts: The system uses large language model technology for zero-shot learning, meaning it could classify comments without requiring extensive training data for each category. It was designed to speed up analyst work and help identify patterns in respondent feedback for continuous improvement of Statistics Canada's survey programs.",[],{"purposes":720,"decision_types":723,"accountable":728},[721,722],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[724],{"id":725,"title":726,"icon":727,"key":726},"priority_ranking","Priority ranking","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fdm_priority-ranking.svg",{"id":712,"title":713,"icon":75,"key":713},{"id":730,"headline":731,"subtitle":12,"intro_body":732,"labels":733,"dtpr_summary":734},"5412d386-fa5f-42ac-8294-52306337070b","AI-Assisted Vaccination Verification at Canada's Border","ArriveCAN is a digital platform developed by the Public Health Agency of Canada to collect travel and COVID-19 health information from people entering Canada. One of its key features uses Optical Character Recognition (OCR) technology to automatically scan and read travellers' proof of vaccination documents. This helps border services officers process travellers more quickly, reducing wait times and points of contact at the border.\n\nWhen you submit your proof of vaccination through the ArriveCAN app or web portal, the system attempts to read and verify the document automatically. If the system successfully recognizes your proof of vaccination, that information helps inform whether you meet the entry requirements and what, if any, quarantine rules apply to you. Importantly, ArriveCAN does not make the final decision about your eligibility to enter Canada — that decision rests with a human border services officer. If the system cannot read your document, an officer will manually review it.\n\nThe system was assessed at Impact Level 2 under the Government of Canada's Directive on Automated Decision-Making. A Privacy Impact Assessment has been completed, and a recourse process exists for travellers who wish to challenge decisions. The algorithm is considered a trade secret, and human override of system outputs is enabled at all times.",[],{"purposes":735,"decision_types":742,"accountable":747},[736,738,740],{"id":737,"title":319,"icon":317,"key":319},"safety_security",{"id":739,"title":289,"icon":287,"key":289},"health",{"id":741,"title":304,"icon":302,"key":304},"mobility",[743],{"id":744,"title":745,"icon":746,"key":745},"accept_deny","Accept or deny","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fdm_accept-or-deny.svg",{"id":748,"title":749,"icon":69,"key":749},"institution","Public Health Agency of Canada (PHAC)",{"id":751,"headline":752,"subtitle":12,"intro_body":753,"labels":754,"dtpr_summary":755},"958d79e9-2900-4e3c-aa6d-948476668f9a","AI-Driven Employer Selection for Labour Compliance Inspections","The Temporary Foreign Worker Program (TFWP) Case Selection Algorithm is an automated tool developed by Employment and Social Development Canada (ESDC) to prioritize employers for compliance inspections. The system uses a set of algorithms and business rules to assess risk factors associated with employers participating in the TFWP, helping Service Canada focus its inspection resources on employers who are most likely to be in violation of the Immigration and Refugee Protection Regulations (IRPR). The goal is to protect the rights of temporary foreign workers by holding employers accountable for program requirements.\n\nThe system generates a list of employer business numbers (BNs) for inspection through two methods: a risk-based random selection targeting higher-risk employers, and a purely random selection from the broader employer population. Once an employer is selected, human staff at Service Canada take full control of managing, distributing, and carrying out the inspection. No automated recommendations are made about the outcome of an inspection — all decisions remain with qualified human officers following established regulations and procedures.\n\nApproximately 50,000 employers are approved to use the TFWP, and only a percentage are selected for inspection each year. This system improves the reach and quality of the compliance regime by drawing on data from multiple federal and provincial sources. Employers whose inspection results in a finding of non-compliance may face administrative monetary penalties or a temporary or permanent ban from the Program. Individuals who believe they have been improperly selected may pursue recourse through established channels, and meaningful explanations of the system's role are made available in plain language through the Algorithmic Impact Assessment.",[],{"purposes":756,"decision_types":760,"accountable":762},[757,759],{"id":758,"title":274,"icon":272,"key":274},"enforcement",{"id":704,"title":309,"icon":307,"key":309},[761],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":763,"icon":69,"key":763},"Employment and Social Development Canada (ESDC)",{"id":765,"headline":766,"subtitle":12,"intro_body":767,"labels":768,"dtpr_summary":769},"08699a73-f7ac-4750-b37e-85c8692e81d8","AI-Powered Product Code Classification System","The ASML NAPCS Recommender is an artificial intelligence system developed by Statistics Canada to assist government employees in classifying product descriptions from manufacturing and logging industry surveys. The tool analyzes written product descriptions and recommends appropriate North American Product Classification System (NAPCS) codes, helping to streamline the data collection and coding process for official statistics.\n\nThis system is designed to reduce the time analysts spend manually assigning classification codes to survey write-ins, while maintaining human oversight of all recommendations. The AI analyzes historical survey data and product classification patterns to make informed suggestions, but all final coding decisions remain under the control of qualified human analysts who review and validate the system's recommendations.\n\nThe system does not process personal information and is currently in production use. As an AI system used in government operations, it has been designed with transparency and accountability measures to ensure reliable and fair classification of industry data.",[],{"purposes":770,"decision_types":773,"accountable":778},[771,772],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[774],{"id":775,"title":776,"icon":777,"key":776},"matching","Matching","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fdm_matching.svg",{"id":712,"title":713,"icon":75,"key":713},{"id":780,"headline":781,"subtitle":12,"intro_body":782,"labels":783,"dtpr_summary":784},"29bf9df2-3362-4207-8be8-fdc498f0a155","AI-Powered Asset Code Classification System","Statistics Canada operates the Capital Expenditure (CapEx) Asset Coding Recommender, an artificial intelligence system designed to streamline the asset classification process. The system analyzes written asset descriptions and recommends appropriate asset codes, significantly reducing the time analysts spend on manual coding tasks. This tool is currently in production and is used by Government of Canada employees who work with capital asset data.\n\nThe system does not process personal information. It uses historical data from asset write-ins and existing code classifications (NAPCS and NAICS codes) to train its recommendation engine. By automating routine coding decisions, the system helps ensure consistency and efficiency in asset classification across government operations while allowing analysts to focus on more complex analytical work.",[],{"purposes":785,"decision_types":787,"accountable":789},[786],{"id":704,"title":309,"icon":307,"key":309},[788],{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":713,"icon":69,"key":713},{"id":791,"headline":792,"subtitle":12,"intro_body":793,"labels":794,"dtpr_summary":795},"9ee190a2-9a94-4e8b-b279-c241cf4bf354","AI-Powered News Analysis for Capital Investment Projects","Statistics Canada has developed an AI-powered news analysis tool designed to automatically identify and extract information about major capital investment projects from news articles. This system uses natural language processing to scan news content and identify relevant information related to Capital Expenditure (CapEx) initiatives across Canada.\n\nThe tool is currently in development and is intended for use by Government of Canada employees who work on economic analysis, statistical reporting, and capital project tracking. The system does not process personal information about individuals. By analyzing publicly available news sources, this tool aims to improve the efficiency and accuracy of data collection for capital investment monitoring and economic analysis.\n\nThis system operates transparently to help government analysts make more informed decisions about economic trends and major investment projects. Citizens and businesses should understand that publicly reported information about capital projects may be processed by this AI system to support government analysis and policy development.",[],{"purposes":796,"decision_types":799,"accountable":803},[797,798],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[800],{"id":801,"title":802,"icon":488,"key":802},"information_extraction","Information Extraction",{"id":748,"title":713,"icon":69,"key":713},{"id":805,"headline":806,"subtitle":12,"intro_body":807,"labels":808,"dtpr_summary":809},"643b6321-3b0f-41e6-a376-4987b4be23ac","AI-Powered Legal Research for Government Lawyers","Westlaw Edge AI is an artificial intelligence-enhanced legal research platform developed by Thomson Reuters that supports lawyers and legal professionals working in Canada's Administrative Tribunals Support Service. The system uses advanced natural language processing and machine learning to help legal professionals conduct legal research more efficiently by answering legal questions in plain language, generating summaries of case law with supporting citations, identifying relevant jurisdictional laws, and providing litigation analytics to support case strategy and decision-making.\n\nThe platform operates as an AI layer on top of Westlaw's established legal content database, which contains carefully curated and maintained legal materials. When legal professionals use the system to research cases, statutes, or legal principles, the AI analyzes their natural language queries and provides relevant results from the curated legal corpus. This system is currently in production and is used exclusively by Government of Canada employees in legal support roles.\n\nThis system does not process personal information about individuals. The system is designed to assist legal professionals in their research and analysis work, and all underlying legal content is maintained securely within the Westlaw platform infrastructure.",[],{"purposes":810,"decision_types":817,"accountable":823},[811,812,813,815],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},{"id":814,"title":314,"icon":312,"key":314},"research_development",{"id":816,"title":239,"icon":237,"key":239},"agency_interaction",[818,819,820],{"id":744,"title":745,"icon":746,"key":745},{"id":725,"title":726,"icon":727,"key":726},{"id":821,"title":822,"icon":488,"key":822},"prediction","Prediction",{"id":712,"title":824,"icon":75,"key":824},"Administrative Tribunals Support Service of Canada",{"id":826,"headline":827,"subtitle":12,"intro_body":828,"labels":829,"dtpr_summary":830},"84e929d6-6b86-4cab-8f48-7cc13bb4ff11","AI-Powered Census Document Translation System","Statistics Canada has developed an AI-powered translation system specifically designed to translate census materials between English and French. The Census Translator is a finetuned neural machine translation model trained on historical census documents to accurately handle the specialized terminology and vocabulary unique to census work. Unlike generic translation tools, this system understands census-specific language patterns and technical terms, providing more accurate initial translations.\n\nThe system is currently in development and is intended for use by Government of Canada employees. It will generate initial draft translations of census documents, including those marked as protected-B and pre-release materials, which are then reviewed and refined by human language experts before final release. This human-in-the-loop approach ensures that while AI accelerates the initial translation process, trained linguists maintain quality control and accuracy. The system does not involve processing personal information and focuses exclusively on translating census documentation and metadata.",[],{"purposes":831,"decision_types":833,"accountable":838},[832],{"id":706,"title":294,"icon":292,"key":294},[834],{"id":835,"title":836,"icon":837,"key":836},"personalization","Personalization","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fdm_personalization.svg",{"id":712,"title":713,"icon":75,"key":713},{"id":840,"headline":841,"subtitle":12,"intro_body":842,"labels":843,"dtpr_summary":844},"8f3c3ff9-b24d-4ac1-9112-15dfcc94c788","Automated Triage for IEC Work Permit Applications","Immigration, Refugees and Citizenship Canada (IRCC) uses an automated triage model to help process applications for the International Experience Canada (IEC) Working Holiday Program more efficiently. The system sorts incoming applications by applying pre-existing eligibility rules — such as age, country of citizenship, passport validity, and country of residence — to identify straightforward cases that meet all non-discretionary requirements. When the system determines that an applicant meets these criteria, it issues an automated positive eligibility assessment. The system can never refuse an application or recommend a refusal.\n\nThis model affects applicants to the IEC Working Holiday Program by potentially speeding up the processing of their applications. If your application is identified as a routine case, the eligibility portion of your assessment is handled automatically, allowing IRCC officers to focus their attention on reviewing your admissibility and rendering a final decision. Applications that are not selected for automated positive eligibility assessment continue to be fully reviewed by an officer in the same way as before. In all cases, a human officer makes the final decision to approve or refuse.\n\nIRCC is committed to transparency and fairness in using this system. The eligibility rules used by the model are the same rules that officers currently apply manually, and they are regularly reviewed by experienced officers, legal, policy, and data science experts. An ongoing quality assurance process monitors the system for bias and ensures it performs as intended. Clients who wish to challenge a decision have access to existing recourse processes, and plain language notices inform applicants that this system is used during processing.",[],{"purposes":845,"decision_types":847,"accountable":849},[846],{"id":704,"title":309,"icon":307,"key":309},[848],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":850,"icon":69,"key":850},"Immigration, Refugees and Citizenship Canada (IRCC)",{"id":852,"headline":853,"subtitle":12,"intro_body":854,"labels":855,"dtpr_summary":856},"b0e78d26-cfa6-4eed-92fc-44d265e2d5a8","Automating Positive Decisions for Ukrainian Temporary Resident Applications","Immigration, Refugees and Citizenship Canada (IRCC) has developed an automated system to help process temporary resident visa (TRV) and work permit (WP) applications submitted under the Canada-Ukraine Authorization for Emergency Travel (CUAET) program. This program was created to respond urgently to the crisis in Ukraine by streamlining the existing temporary resident process. The automated system reviews applications against established eligibility and admissibility criteria and, when all criteria are met, can automatically confirm a positive decision and generate a visa — reducing delays and freeing up IRCC officers to focus on more complex cases.\n\nThe system only makes positive decisions: it can approve applications that meet all requirements, but it can never refuse an application or recommend a refusal. Any application that does not pass the automated checks is automatically forwarded to a human IRCC officer for a full, individualized review. Officers may still approve or refuse those applications following normal procedures. This means that no applicant can be negatively impacted by the automated system alone.\n\nApplicants should know that the system uses personal information they submit as part of their application, including biometric data, and that this information is handled in accordance with Canadian privacy law. The rules used by the system are directly linked to legislative and regulatory requirements and have been reviewed by policy, legal, privacy, and operational experts at IRCC. Applicants whose applications are refused — always by a human officer — are entitled to an explanation and have the right to reapply or seek recourse through standard procedural fairness processes.",[],{"purposes":857,"decision_types":860,"accountable":865},[858,859],{"id":741,"title":304,"icon":302,"key":304},{"id":704,"title":309,"icon":307,"key":309},[861,862],{"id":744,"title":745,"icon":746,"key":745},{"id":863,"title":864,"icon":488,"key":864},"positive_only_automated_decision","Positive-Only Automated Decision with Human Escalation",{"id":748,"title":850,"icon":69,"key":850},{"id":867,"headline":868,"subtitle":12,"intro_body":869,"labels":870,"dtpr_summary":871},"4a01d2c2-5b9f-43b0-9b9d-67f58af0deee","Automated Accessibility Descriptions for Census Content","The Census Alt-text Generator is a bilingual AI tool developed by Statistics Canada to automatically create alternative text descriptions for images, charts, maps, and videos published in Census of Population materials. This system uses image-to-text processing to generate draft descriptions that help make census content accessible to people with visual impairments or those using assistive technologies.\n\nThe system is designed to improve operational efficiency by allowing Statistics Canada employees to verify and refine auto-generated descriptions rather than writing them from scratch. This approach ensures consistency and quality across all census publications while reducing the time required for manual alt-text creation.\n\nThis system is currently in development and does not process personal information. It is intended for use by Government of Canada employees managing census content publication.",[],{"purposes":872,"decision_types":876,"accountable":878},[873,875],{"id":874,"title":234,"icon":231,"key":234},"accessibility",{"id":706,"title":294,"icon":292,"key":294},[877],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":713,"icon":75,"key":713},{"id":880,"headline":881,"subtitle":12,"intro_body":882,"labels":883,"dtpr_summary":884},"4fac07a5-c4cb-451e-9614-7cb08adafece","AI-Powered Statistical Program Classification","Statistics Canada is developing an artificial intelligence system that uses large language models (LLMs) to automatically classify and code statistical programs. This system is currently in development and is designed to explore how LLMs can be scaled horizontally to handle the classification of survey responses and statistical data according to established classification standards.\n\nThe system does not involve the processing of personal information. It is primarily used by Government of Canada employees who work with statistical data and classification systems. The LLM analyzes text from past survey responses and classification standards to learn patterns and automatically assign appropriate classification codes to new statistical programs and survey data.\n\nAs this system is still in development, Statistics Canada is carefully evaluating its capabilities and limitations. Citizens and businesses interacting with Statistics Canada should know that their survey responses may be processed through automated classification systems as part of ongoing efforts to improve efficiency and consistency in statistical data management.",[],{"purposes":885,"decision_types":887,"accountable":889},[886],{"id":704,"title":309,"icon":307,"key":309},[888],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":713,"icon":69,"key":713},{"id":891,"headline":892,"subtitle":12,"intro_body":893,"labels":894,"dtpr_summary":895},"a64922d5-fe77-417a-af7c-d6fba95188f6","AI-Powered Receipt Processing for Household Spending Survey","Statistics Canada operates an automated receipt processing system that helps respondents to the Survey of Household Spending (SHS) submit their shopping receipts digitally instead of manually writing down daily expenses. The system uses optical character recognition (OCR) technology combined with machine learning algorithms to automatically extract and classify information from scanned receipts, including item descriptions, prices, and store information.\n\nThis system is currently in production and is used by Government of Canada employees to process receipts submitted by survey respondents. The system does not involve the collection of personal information about individuals; instead, it focuses on extracting transactional data from receipts to support household spending analysis.\n\nSurvey participants can voluntarily choose to submit their paper receipts as an alternative to manually recording their expenses. The automated processing streamlines data entry while maintaining the accuracy and quality of the household spending data that Statistics Canada collects.",[],{"purposes":896,"decision_types":898,"accountable":900},[897],{"id":704,"title":309,"icon":307,"key":309},[899],{"id":709,"title":710,"icon":488,"key":710},{"id":712,"title":713,"icon":75,"key":713},{"id":902,"headline":903,"subtitle":12,"intro_body":904,"labels":905,"dtpr_summary":906},"a0b65672-e5d8-4c88-934a-096b05de6c92","Automated Compliance Checking for Census Publications","Sphinx is an artificial intelligence tool developed by Statistics Canada to automatically check census publication documents for compliance with government standards. The system uses advanced language processing to review both text and images, identifying formatting issues, inconsistencies, and other standards violations that require human attention.\n\nThe tool is designed to help Government of Canada employees who prepare and review census publications. By automatically flagging compliance issues, Sphinx allows human reviewers to focus their time on evaluating content quality rather than verifying technical standards. This system does not involve personal information and is currently in development.\n\nThe system processes draft publications written in French or English and provides structured feedback to help ensure consistent adherence to StatCan's publishing standards across all census-related documents.",[],{"purposes":907,"decision_types":909,"accountable":914},[908],{"id":758,"title":274,"icon":272,"key":274},[910],{"id":911,"title":912,"icon":913,"key":912},"anomaly_detection","Anomaly Detection","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fdm_anomay-detection.svg",{"id":748,"title":713,"icon":69,"key":713},{"id":916,"headline":917,"subtitle":12,"intro_body":918,"labels":919,"dtpr_summary":920},"a8e888a9-e26c-4f78-82dd-0f266799e49c","AI Chatbot for Survey Assistance and Engagement","Statistics Canada has developed a generative AI chatbot to support respondents completing the Annual Survey of Manufacturing and Logging (ASML). This intelligent assistant answers questions about survey concepts and definitions in real-time, helping survey participants understand what information is being requested and how to provide accurate responses.\n\nThe chatbot is designed to improve the survey experience by providing instant, clear guidance to respondents. By offering immediate answers to common questions, the system reduces the burden on Statistics Canada's data collection staff while helping to improve overall data quality. The system does not involve the collection of personal information.\n\nThis system is currently in development. Members of the public who participate in the ASML survey will be the primary users of this chatbot, interacting with it through the survey platform to get clarification on survey questions and definitions as needed.",[],{"purposes":921,"decision_types":924,"accountable":926},[922,923],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[925],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":713,"icon":75,"key":713},{"id":928,"headline":929,"subtitle":12,"intro_body":930,"labels":931,"dtpr_summary":932},"9d044d1f-03be-485b-9e2e-9fc9e6d6d12b","AI Chatbot Making Census Data More Accessible","CensAI is a generative AI chatbot developed by Statistics Canada to make census data more accessible to the public. The system simplifies thousands of pages of census reference materials and documentation on census concepts, allowing members of the public to more easily understand and navigate complex census information through natural conversation.\n\nThis system does not collect or process personal information about users. It is a retired system that has been phased out of active use. The chatbot was designed purely to improve access to publicly available census reference materials, helping citizens better understand census methodologies, definitions, and concepts without needing to manually search through extensive documentation.\n\nStatistics Canada has made this system publicly transparent as part of its commitment to responsible AI deployment in government services. Citizens should know that while this system is no longer in active use, it represents an example of how government agencies can use AI to improve public access to important statistical information.",[],{"purposes":933,"decision_types":936,"accountable":938},[934,935],{"id":874,"title":234,"icon":231,"key":234},{"id":706,"title":294,"icon":292,"key":294},[937],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":713,"icon":69,"key":713},{"id":940,"headline":941,"subtitle":12,"intro_body":942,"labels":943,"dtpr_summary":944},"7486c1ea-ddd3-40db-82f3-e378252a2b02","AI-Powered One Health Risk Indicator System","The OneHealth Emergency Tool is an artificial intelligence system currently in development by Agriculture and Agri-Food Canada that searches, compiles, and organizes publicly available One Health risk indicators. One Health is an integrated approach that recognizes the interconnection between human health, animal health, and environmental health. This system addresses critical public health challenges by tracking zoonotic diseases (diseases that jump from animals to humans), antimicrobial resistance, transmissible animal diseases, and plant and animal diseases that have significant health and economic impacts.\n\nThe system uses generative AI and large language models to search through publicly available data sources including research papers, websites, and government databases. It automatically filters, organizes, and stores this information in a structured, editable format while eliminating duplicate entries. This helps public health officials and government employees access comprehensive, current information about emerging health threats more efficiently. The tool is designed to support evidence-based decision-making during health emergencies by providing a centralized repository of risk indicators.\n\n**Key transparency information:** This tool does not collect or process personal information about individuals. It is intended for use by Government of Canada employees who need access to One Health risk data. The system is currently in development and will be built on generative AI technology that processes and organizes existing public health data rather than creating new personal records.",[],{"purposes":945,"decision_types":948,"accountable":950},[946,947],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[949],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":951,"icon":69,"key":951},"Agriculture and Agri-Food Canada (AAFC)",{"id":953,"headline":954,"subtitle":12,"intro_body":955,"labels":956,"dtpr_summary":957},"bec0d9d0-1bec-4944-9b7c-da3e7f94d1b3","AI-Powered Real-Time Rail Network Monitoring","RailState is an AI-powered data platform developed by Transport Canada to monitor rail traffic across North America. The system uses cameras positioned along rail lines combined with artificial intelligence to automatically detect, count, and classify train movements. This provides real-time and historical information about network activity, performance trends, and situational awareness during service disruptions.\n\nThe system's computer vision capabilities analyze video footage to identify different types of rail cars, read identifiers when available, and create comprehensive records of train composition and movement patterns. This information helps transport planners and operators make informed decisions about rail network management and respond quickly to disruptions.\n\nRailState is currently in production and used by Government of Canada employees. The system does not involve collection of personal information about individuals, focusing instead on infrastructure and asset monitoring. Camera feeds are analyzed to extract information about trains and rail operations rather than people or personal activities.",[],{"purposes":958,"decision_types":962,"accountable":964},[959],{"id":960,"title":961,"icon":488,"key":961},"monitoring_and_situational_awareness","Monitoring And Situational Awareness",[963],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":965,"icon":69,"key":965},"Transport Canada",{"id":967,"headline":968,"subtitle":12,"intro_body":969,"labels":970,"dtpr_summary":971},"7a90bd00-f33b-433f-9457-4590711e132c","AI-Assisted Code Generation for Freight Forecasting","Transport Canada uses an AI-powered code generation system to streamline the development of forecasting models for freight transportation demand. This system leverages generative AI technology to automatically create and optimize code in the R programming language, handling complex data processing and model logic steps that would traditionally require significant manual effort from analysts.\n\nThe system does not involve personal information. It is currently in development and is designed for use by Government of Canada employees. By automating routine coding tasks, the system allows analysts to focus their expertise on higher-value work, such as interpreting forecast results and communicating findings to stakeholders. The underlying AI model is developed by OpenAI and trained on internet data sources.",[],{"purposes":972,"decision_types":975,"accountable":977},[973,974],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[976],{"id":725,"title":726,"icon":727,"key":726},{"id":712,"title":965,"icon":75,"key":965},{"id":979,"headline":980,"subtitle":12,"intro_body":981,"labels":982,"dtpr_summary":983},"cd31131d-be30-441e-b273-aa2f654c0c1e","AI-Powered Water Level Monitoring Near Rail Lines","Transport Canada has developed an artificial intelligence system to assess water levels and evaluate flooding risks near railway lines using advanced drone, satellite, and hi-rail lidar data. This system helps protect critical rail infrastructure by identifying potential flooding hazards before they can impact operations and safety.\n\nThe system uses specialized algorithms to analyze multiple data sources and generate risk assessments that inform decision-making about rail line maintenance, emergency preparedness, and infrastructure protection. The primary users of this system are Government of Canada employees responsible for rail infrastructure management and safety.\n\nThis system does not involve the collection or processing of personal information about individuals. All data collected relates to environmental and geographic conditions that may affect railway operations.",[],{"purposes":984,"decision_types":987,"accountable":989},[985,986],{"id":737,"title":319,"icon":317,"key":319},{"id":704,"title":309,"icon":307,"key":309},[988],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":965,"icon":75,"key":965},{"id":991,"headline":992,"subtitle":12,"intro_body":993,"labels":994,"dtpr_summary":995},"d446df9c-07e9-46d9-a6e5-9a9f6fba20e0","Testing AI Tools for Policy Research","Transport Canada conducted a structured experiment in 2024 to evaluate how artificial intelligence tools—specifically the Athena platform and ChatGPT—can improve and enhance the policy research process. The experiment tested these tools across various research activities including scoping, trend identification, information and data gathering, and writing and summarization. Government of Canada employees used these AI platforms to assess their quality, time efficiency, and practical benefits for policy analysis.\n\nThe experiment observed several key benefits: faster research capabilities, broader information scanning with greater international scope (particularly through the Athena tool), and potential improvements in policy foresight capacity for analysts. This research initiative aims to determine whether and how AI tools can augment the existing work of policy researchers, potentially returning value through enhanced analyst skills and more efficient research processes.\n\nThis system does not involve personal information and is currently in production status. It represents an exploratory approach to understanding AI's role in government policy development.",[],{"purposes":996,"decision_types":1002,"accountable":1004},[997,998,999],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},{"id":1000,"title":1001,"icon":488,"key":1001},"structured_policy_experiment","Structured Policy Experimentation",[1003],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":965,"icon":69,"key":965},{"id":1006,"headline":1007,"subtitle":12,"intro_body":1008,"labels":1009,"dtpr_summary":1010},"d0c7aa4f-e5e7-4361-b183-fb737f165c31","AI Assistant for Travel Policy Questions","Transport Canada's Travel Policy Chatbot is an artificial intelligence system designed to help Government of Canada employees quickly find answers to travel-related questions. The chatbot uses information from both Transport Canada and National Joint Council travel directives to provide accurate guidance on travel policies and procedures.\n\nThe system is currently in production and is being used by Transport Canada's corporate finance team to answer internal travel inquiries. As the system's accuracy and reliability improve, it may be expanded to serve travelers across the entire Transport Canada organization. The chatbot does not collect or process personal information, making it a privacy-safe tool for policy information delivery.\n\nThe system is hosted on Transport Canada's secure Azure cloud infrastructure. The development team is currently working to implement a feedback mechanism that will allow continuous improvement of the chatbot's responses based on user interactions.",[],{"purposes":1011,"decision_types":1013,"accountable":1015},[1012],{"id":706,"title":294,"icon":292,"key":294},[1014],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":965,"icon":75,"key":965},{"id":1017,"headline":1018,"subtitle":12,"intro_body":1019,"labels":1020,"dtpr_summary":1021},"b0bb5c36-973c-481c-913f-56c4e02b7e7f","AI-Powered Transparency Register Generation","Clarable Import AI is the system that built this register. It reads the Government of Canada's Algorithmic Impact Assessments — detailed compliance documents that federal departments publish about their AI systems — and converts them into the structured, browsable transparency pages you see here.\n\nFor each AI system, Clarable sends the original assessment document to Claude, a large language model by Anthropic, along with the complete DTPR taxonomy of transparency elements. Claude analyzes the document, identifies relevant purposes, decision types, data practices, rights, and risks, and generates bilingual (English\u002FFrench) descriptions written in plain language for public audiences.\n\nEvery element on every algorithm page includes a confidence rating and references to the specific passages in the source document that support it. This means you can trace any claim back to the government's own documentation. The system is a prototype demonstrating that AI can help scale transparency — turning hundreds of dense regulatory documents into an accessible public register.",[],{"purposes":1022,"decision_types":1026,"accountable":1030},[1023,1024,1025],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},{"id":814,"title":314,"icon":312,"key":314},[1027,1028,1029],{"id":775,"title":776,"icon":777,"key":776},{"id":835,"title":836,"icon":837,"key":836},{"id":744,"title":745,"icon":746,"key":745},{"id":1031,"title":1032,"icon":1033,"key":1032},"c862ccb0-f428-4a9e-b636-fddb10c65e79","Clarable","https:\u002F\u002Fcdn.helpfulplaces.com\u002Fcdn-cgi\u002Fimage\u002Fw=128,h=128,fit=contain,q=100,f=auto\u002Fcivnr1rbf9h3jm4j7n0hkjuu6ryz",{"id":1035,"headline":1036,"subtitle":12,"intro_body":1037,"labels":1038,"dtpr_summary":1039},"191be107-6786-4fca-a91f-469e530213d6","Automating Paper Form Processing","Transport Canada's AI Document Process Automation (ADA) system uses artificial intelligence to automatically process paper-based forms submitted by Government of Canada employees. The system analyzes document content and extracts relevant information, significantly reducing the need for manual data entry. This automation helps staff focus on more valuable work while improving accuracy and processing speed.\n\nThe system is currently in production and primarily serves Government of Canada employees who submit documents for processing. ADA does not collect or process personal information—it focuses solely on extracting and organizing data from administrative forms and documents.\n\nThis transparency page explains how the system works, what it does with the information it processes, and what safeguards are in place to ensure fair and accurate processing.",[],{"purposes":1040,"decision_types":1042,"accountable":1044},[1041],{"id":704,"title":309,"icon":307,"key":309},[1043],{"id":709,"title":710,"icon":488,"key":710},{"id":712,"title":965,"icon":75,"key":965},{"id":1046,"headline":1047,"subtitle":12,"intro_body":1048,"labels":1049,"dtpr_summary":1050},"57d399e0-7430-4c4d-aa52-112062b2c796","AI-Powered Content Publishing and Metadata Generation","The Web Publisher Accelerator is an artificial intelligence system developed by Indigenous Services Canada to streamline the content publishing process for Government of Canada employees. This system uses advanced AI capabilities to automatically summarize written content and generate associated metadata, dramatically reducing the time required to publish materials from several days to just minutes.\n\nThe system is designed to improve operational efficiency for GC employees who are responsible for creating and publishing web content. By automating the summarization and metadata generation tasks, the Web Publisher Accelerator allows publishing teams to focus on content quality and strategic priorities rather than time-consuming manual preparation work.\n\nThis transparency page provides information about how the Web Publisher Accelerator processes content, what types of data it works with, and the key decisions it makes in generating summaries and metadata. Please note that this system does not involve the processing of personal information about individuals.",[],{"purposes":1051,"decision_types":1054,"accountable":1057},[1052,1053],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[1055,1056],{"id":725,"title":726,"icon":727,"key":726},{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1058,"icon":69,"key":1058},"Indigenous Services Canada (ISC)",{"id":1060,"headline":1061,"subtitle":12,"intro_body":1062,"labels":1063,"dtpr_summary":1064},"46d85d6d-bd94-40ac-ad10-859bf19ce242","AI Tool for Government Policy Research","The Policy Research Assistant is a generative AI tool developed by Indigenous Services Canada to help Government of Canada employees conduct policy research and access open government data more efficiently. The system uses artificial intelligence to query and analyze GoC policy documents and publicly available datasets, enabling researchers and policy analysts to find relevant information quickly.\n\nThis tool is designed for internal use by GC employees working on policy analysis and research. The system processes policy documents and open data sources to provide relevant search results and insights. Users should be aware that this system does not process personal information in its standard operations, as it focuses on policy documents and open datasets rather than individual citizen data.\n\nThe tool represents the Government of Canada's effort to modernize policy research processes through generative AI technology while maintaining focus on publicly available and policy-related information sources.",[],{"purposes":1065,"decision_types":1068,"accountable":1070},[1066,1067],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[1069],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1058,"icon":69,"key":1058},{"id":1072,"headline":1073,"subtitle":12,"intro_body":1074,"labels":1075,"dtpr_summary":1076},"31889a07-8010-48f0-b045-ce4de74959a6","AI-Assisted Code Development for Government","Indigenous Services Canada uses GitHub Copilot, an AI-powered code generation tool, to assist Government of Canada employees in software development tasks. This system helps developers write code more efficiently by providing intelligent suggestions and completions based on context and patterns. The tool is used by GC employees as part of their development workflow to accelerate coding processes and improve productivity. This system does not involve processing personal information. The AI-assisted code generation operates by analyzing code context and suggesting relevant code snippets, functions, and implementations to support developers in their work.",[],{"purposes":1077,"decision_types":1079,"accountable":1081},[1078],{"id":706,"title":294,"icon":292,"key":294},[1080],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1058,"icon":69,"key":1058},{"id":1083,"headline":1084,"subtitle":12,"intro_body":1085,"labels":1086,"dtpr_summary":1087},"8321de1d-2742-4b23-a275-50db1b7a6564","AI-Powered Speech Writing Assistant","The Speech Writer is a generative AI system deployed by Indigenous Services Canada to assist Government of Canada employees in developing first drafts of speeches. The system leverages advanced language models to generate initial speech content based on input parameters and guidance provided by users. This tool is designed to enhance efficiency in speech preparation while maintaining human oversight and editorial control throughout the development process.\n\nThe system primarily serves GC employees who require assistance with speech composition. All generated content remains subject to human review and approval before use. The system does not retain personal information about individuals mentioned in speeches or used as input for draft generation.",[],{"purposes":1088,"decision_types":1090,"accountable":1092},[1089],{"id":816,"title":239,"icon":237,"key":239},[1091],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1058,"icon":75,"key":1058},{"id":1094,"headline":1095,"subtitle":12,"intro_body":1096,"labels":1097,"dtpr_summary":1098},"127f811b-a7a4-4636-ba39-97234f3a6581","AI-Powered Environmental and Socio-Economic Data Access","BERDI is an AI-enabled system developed by the Canada Energy Regulator that makes it easier for Canadians to access and explore data from Environmental and Socio-economic Assessments (ESAs) submitted since 2003. The system uses machine learning to extract structured data and metadata from PDF documents, enabling targeted keyword searches and exploratory browsing of information related to the potential impacts of pipeline projects on the environment and on the health and well-being of Canadians.\n\nThe system is designed to serve both government employees and the general public, providing transparent access to environmental assessment data through an online portal. BERDI includes important safeguards to identify and exclude culturally sensitive Indigenous Knowledge from the dataset, ensuring that sacred and sensitive information is protected. The system does not process personal information about individuals.\n\nThis system is currently in production and available online at www.cer-rec-gc.ca\u002Fberdi (English) and www.cer-rec.gc.ca\u002Fciber (French), as well as through the Open Science Data Portal. It represents the Government of Canada's commitment to making environmental impact data more accessible and searchable for informed public engagement in energy project reviews.",[],{"purposes":1099,"decision_types":1102,"accountable":1104},[1100,1101],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[1103],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1105,"icon":69,"key":1105},"Canada Energy Regulator (CER)",{"id":1107,"headline":1108,"subtitle":12,"intro_body":1109,"labels":1110,"dtpr_summary":1111},"b639fc44-01f5-4387-89db-c1e1ab7203a0","OCAP-Compliant Performance Framework Builder","The Performance Advisor is an AI tool developed by Indigenous Services Canada that assists Government of Canada employees in building performance frameworks and data plans that comply with OCAP (Ownership, Control, Access, and Possession) principles. OCAP is a framework that ensures Indigenous peoples maintain sovereignty over their data and information.\n\nThis system helps create customized performance measurement structures while respecting Indigenous data governance requirements. It is designed to support evidence-based decision-making within a framework that protects Indigenous data rights and community interests.\n\nThe system does not involve personal information collection. Primary users are Government of Canada employees responsible for developing performance frameworks and data management plans.",[],{"purposes":1112,"decision_types":1114,"accountable":1118},[1113],{"id":704,"title":309,"icon":307,"key":309},[1115],{"id":1116,"title":1117,"icon":488,"key":1117},"framework_generation","Framework Generation and Customization",{"id":712,"title":1058,"icon":75,"key":1058},{"id":1120,"headline":1121,"subtitle":12,"intro_body":1122,"labels":1123,"dtpr_summary":1124},"00412d2f-d520-46dc-b8c2-173449bf60d2","AI Monitoring of Media Article Sentiment","Veterans Affairs Canada deployed Meltwater, a media monitoring and analytics platform, to analyze sentiment and themes in news articles. This system automatically processes published media content to identify trends, public perception, and coverage patterns relevant to Veterans Affairs. The system is no longer actively used by the department. Primary users were Government of Canada employees who accessed analytics and reports generated from the sentiment analysis. This system processes publicly available media articles and does not involve personal information collection from individuals.",[],{"purposes":1125,"decision_types":1129,"accountable":1131},[1126],{"id":1127,"title":1128,"icon":488,"key":1128},"sentiment_analysis","Sentiment Analysis",[1130],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1132,"icon":69,"key":1132},"Veterans Affairs Canada (VAC)",{"id":1134,"headline":1135,"subtitle":12,"intro_body":1136,"labels":1137,"dtpr_summary":1138},"3cc20ee8-453a-4695-bcdb-231a5c7daef2","AI-Powered Malware and Document Threat Detection","McAfee Adaptive Threat Protection is a retired artificial intelligence system that was developed by McAfee and deployed by the Canada Revenue Agency to evaluate software and documents for potential maliciousness. The system used supervised machine learning techniques to identify and flag potentially harmful files and software that could pose security risks to government IT infrastructure and employee devices.\n\nThis system was designed to protect Government of Canada employees by automatically scanning and assessing files for threats before they could compromise agency systems. The technology analyzed software and documents using learned patterns from vendor-provided datasets to classify items as safe or potentially malicious.\n\nIt is important to note that this system has been retired and is no longer in active use. The system did not process personal information about individuals, focusing instead on technical threat assessment. McAfee, the vendor that developed this technology, provided the underlying datasets and machine learning models used by the system.",[],{"purposes":1139,"decision_types":1141,"accountable":1143},[1140],{"id":737,"title":319,"icon":317,"key":319},[1142],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1144,"icon":69,"key":1144},"Canada Revenue Agency (CRA)",{"id":1146,"headline":1147,"subtitle":12,"intro_body":1148,"labels":1149,"dtpr_summary":1150},"a4842b57-56ab-4d14-83ab-aa5ccb95674e","AI-Powered Legal Document Summarization","The AI Legal Editing System uses generative artificial intelligence to assist Government of Canada employees in preparing legal summaries from tribunal documents. This system is currently in development and leverages CanChat, a large language model, to help streamline the document review and summarization process for the Administrative Tribunals Support Service of Canada.\n\nThe system processes legal documents created by the Federal Public Sector Labour Relations and Employment Board (FPSLREB) tribunal to generate concise summaries. This AI tool is designed to improve efficiency in legal document analysis while maintaining the quality standards required for tribunal-related work.\n\nPlease note: This system processes personal information and is intended for use by Government of Canada employees only. The system is currently under development and will be subject to ongoing evaluation and refinement.",[],{"purposes":1151,"decision_types":1154,"accountable":1156},[1152,1153],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[1155],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":824,"icon":75,"key":824},{"id":1158,"headline":1159,"subtitle":12,"intro_body":1160,"labels":1161,"dtpr_summary":1162},"98bc3da6-e2ea-4561-b0f7-2334643dd780","AI-Powered Course Feedback Analysis","The Learner Feedback Sentiment Analysis System is an artificial intelligence tool developed by the Canada School of Public Service (CSPS) to analyze feedback from course participants. This system uses advanced machine learning technology to extract sentiment scores from learner surveys and course evaluations, examining specific aspects such as content relevance, quality, and overall user experience. The system is currently in production and is used by Government of Canada employees who teach or administer training programs. This system does not process personal information and focuses exclusively on understanding feedback patterns to improve course quality and delivery. The analysis uses transformer-based artificial intelligence models to automatically score and categorize feedback, helping instructors and course designers understand what is working well and where improvements are needed.",[],{"purposes":1163,"decision_types":1165,"accountable":1167},[1164],{"id":706,"title":294,"icon":292,"key":294},[1166],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},"Canada School of Public Service (CSPS)",{"id":1170,"headline":1171,"subtitle":12,"intro_body":1172,"labels":1173,"dtpr_summary":1174},"342ffd27-65c8-41cf-baac-420a66706361","Building AI Infrastructure for Canadian Administrative Tribunals","This AI Proof of Concept project is developing the foundational infrastructure, tools, and organizational capabilities needed to implement artificial intelligence solutions within Canada's Administrative Tribunals Support Service (ATSSC) and the tribunals it supports. The project is currently in development and aims to establish technical and governance frameworks that will enable future AI applications across the tribunal system.\n\nThe system involves collecting and processing data to evaluate AI implementation approaches, with protections for information classified up to Protected B status. This proof of concept will inform how AI technologies can be integrated into tribunal operations while maintaining appropriate safeguards for sensitive government information. Government of Canada employees and tribunal staff are the primary users of this infrastructure.\n\nAs this system involves personal information processing, transparency about data handling practices is important for maintaining public trust in Canada's administrative tribunal system. The project focuses on responsible infrastructure development rather than immediate deployment of decision-making systems.",[],{"purposes":1175,"decision_types":1179,"accountable":1181},[1176,1177,1178],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},{"id":816,"title":239,"icon":237,"key":239},[1180],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":824,"icon":69,"key":824},{"id":1183,"headline":1184,"subtitle":12,"intro_body":1185,"labels":1186,"dtpr_summary":1187},"d1549e6a-b4c9-4ba1-8468-9f9c8769620d","AI-Powered IT Support Chatbot for Government Employees","Milo 2.0 is an internal enterprise service management chatbot developed by Agriculture and Agri-Food Canada in partnership with BMC Software. The system is currently in development and will be available to Government of Canada employees who need technical assistance. Milo 2.0 uses large language models and knowledge-based articles to provide conversational, natural language responses to IT support questions. The chatbot interoperates with the IT ticketing system to streamline technical requests and help users find answers to frequently asked IT questions more efficiently.\n\nThis system does not collect or process personal information. It is designed solely to assist GC employees with technical support needs by leveraging existing enterprise knowledge resources and advanced language processing capabilities. Users interact with the chatbot through natural conversation, similar to how they might communicate with a human IT support representative, but the system operates entirely on non-personal technical queries and enterprise knowledge articles.",[],{"purposes":1188,"decision_types":1191,"accountable":1193},[1189,1190],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[1192],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":951,"icon":69,"key":951},{"id":1195,"headline":1196,"subtitle":12,"intro_body":1197,"labels":1198,"dtpr_summary":1199},"357f9e07-c3f6-41d7-bc14-79354ad263dc","AI-Powered Agricultural Program Information Discovery","AgPal Chat is a generative AI chatbot developed by the Government of Canada that helps farmers, agricultural businesses, and rural entrepreneurs discover federal, provincial, territorial, and municipal programs and services. The system searches across more than 400 funding opportunities and support initiatives to help users find programs tailored to their specific needs and circumstances.\n\nThis system is currently in production and is used by members of the public seeking information about agricultural support programs. AgPal Chat uses generative artificial intelligence technology to understand user queries in natural language and provide relevant program information. The system processes personal information provided by users during their interactions to better understand their needs and direct them to appropriate programs.\n\nUsers should be aware that this system uses AI to interpret their questions and match them against available programs. The system is designed to inform users about opportunities but does not make binding decisions about program eligibility or funding approval.",[],{"purposes":1200,"decision_types":1203,"accountable":1205},[1201,1202],{"id":874,"title":234,"icon":231,"key":234},{"id":706,"title":294,"icon":292,"key":294},[1204],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":951,"icon":75,"key":951},{"id":1207,"headline":1208,"subtitle":12,"intro_body":1209,"labels":1210,"dtpr_summary":1211},"d61614a1-6b06-47fd-8ec0-03236d504d8b","AI-Powered Crop and Land Use Monitoring","The Annual Crop Inventory Map is an artificial intelligence system developed by Agriculture and Agri-Food Canada that uses machine learning to analyze satellite imagery and field data to create detailed maps of crop types and land use across Canada. Since 2009, this system has become one of the Government of Canada's most widely accessed open datasets, helping policymakers, researchers, and the public understand how agricultural land is being used and how it changes over time.\n\nThe system processes Earth observation satellite data combined with ground-truth information from crop databases to identify and classify different crop types and land cover categories. This information supports sustainability reporting, agricultural policy development, and environmental monitoring programs. The system is currently in production and does not involve the collection or processing of personal information about individuals.\n\nBoth government employees and members of the public can access and download the resulting crop inventory maps and datasets. The system is designed to provide transparent, open-access information that enables evidence-based decision-making in agriculture, environmental management, and land use planning.",[],{"purposes":1212,"decision_types":1216,"accountable":1218},[1213,1215],{"id":1214,"title":264,"icon":262,"key":264},"ecology",{"id":704,"title":309,"icon":307,"key":309},[1217],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":951,"icon":75,"key":951},{"id":1220,"headline":1221,"subtitle":12,"intro_body":1222,"labels":1223,"dtpr_summary":1224},"d6af75d7-e401-476b-bfbd-16a321806bba","AI-Powered Document Similarity Detection System","Document Detective is an intelligent system developed by Agriculture and Agri-Food Canada (AAFC) that helps the Access to Information and Privacy (ATIP) team streamline and accelerate the process of finding identical or very similar documents across government repositories. The system extracts documents from AAFC SharePoint, OneDrive, Outlook, and end-user desktops to identify duplicates and near-duplicates, improving efficiency in information management and access processes.\n\nThis system is currently in production and is primarily used by Government of Canada employees within AAFC's ATIP operations. Importantly, the system does not involve the processing of personal information, focusing instead on document metadata and content analysis. The tool features a scalable and flexible architecture that allows it to grow with organizational needs and potentially be deployed across other federal departments to improve document management processes government-wide.\n\nDocument Detective operates with full transparency regarding its capabilities and limitations. The system has been designed to support public administration objectives while maintaining appropriate safeguards. Users should understand that this is an automated tool designed to assist human decision-makers, not replace them, in the critical task of managing government information access.",[],{"purposes":1225,"decision_types":1227,"accountable":1229},[1226],{"id":704,"title":309,"icon":307,"key":309},[1228],{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":951,"icon":75,"key":951},{"id":1231,"headline":1232,"subtitle":12,"intro_body":1233,"labels":1234,"dtpr_summary":1235},"ebc4bb2f-e99e-4858-8423-9589dcccf38d","AI-Powered IT Support Assistant for Government Employees","Milo is an internal IT support chatbot deployed by Agriculture and Agri-Food Canada to help government employees resolve technical issues and access IT information. Originally launched in 2019 as a traditional chatbot, Milo has been enhanced with generative AI capabilities starting in 2024 to provide more natural, conversational assistance. The system integrates with AAFC's IT ticketing infrastructure to streamline support requests and answer frequently asked technical questions.\n\nMilo is used exclusively by Government of Canada employees and does not collect or process personal information. The system helps users navigate IT support more efficiently by understanding their requests in plain language and either providing immediate answers or routing them to the appropriate IT ticketing system. As a retired system as of the status date, Milo is no longer actively maintained, but this documentation describes its operational architecture during its deployment period.\n\nThis AI system has been notified to the appropriate governance bodies as part of Canada's AI accountability framework. Users can expect transparent interactions with this technology and should understand that their IT support interactions may be logged by the system to improve its responses over time.",[],{"purposes":1236,"decision_types":1239,"accountable":1241},[1237,1238],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[1240],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":951,"icon":75,"key":951},{"id":1243,"headline":1244,"subtitle":12,"intro_body":1245,"labels":1246,"dtpr_summary":1247},"a77aa40b-e6a9-44bb-b939-7be0a2293dae","AI-Powered Meeting Transcription and Translation","This AI system automatically converts recorded meeting audio files (.mp3) into written transcriptions with identified speakers, generates meeting summaries, and produces translated versions of the transcriptions. The system uses speech-to-text technology combined with language models to process government employee meetings efficiently.\n\nThe system is currently in development and is being used by Government of Canada employees to streamline meeting documentation and accessibility. Unlike some AI systems, this tool does not process personal information about individuals beyond what is necessary to identify speakers within meetings.\n\nThis transparency page explains how the system works, what data it processes, and the decisions it makes to help you understand its capabilities and limitations.",[],{"purposes":1248,"decision_types":1251,"accountable":1253},[1249,1250],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[1252],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":1254,"icon":75,"key":1254},"Environment and Climate Change Canada (ECCC)",{"id":1256,"headline":1257,"subtitle":12,"intro_body":1258,"labels":1259,"dtpr_summary":1260},"1a021a85-aa30-4e01-bc10-209340959caa","AI-Powered Nutritional Data Extraction from Scientific Literature","Agriculture and Agri-Food Canada has developed an artificial intelligence system to automatically extract and analyze nutritional data from scientific research papers. This system focuses on identifying amino acid composition information and calculating amino acid digestibility scores based on established reference patterns. The extracted data is then presented in easy-to-understand summary tables and graphs that highlight limiting amino acids.\n\nThis system is currently in development and is designed for use by Government of Canada employees who conduct nutritional research and analysis. The system does not involve processing personal information—it only analyzes published scientific literature. By automating the extraction and interpretation of complex nutritional data, the system helps researchers work more efficiently and ensures consistent analysis across large volumes of scientific publications.",[],{"purposes":1261,"decision_types":1263,"accountable":1265},[1262],{"id":814,"title":314,"icon":312,"key":314},[1264],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":951,"icon":69,"key":951},{"id":1267,"headline":1268,"subtitle":12,"intro_body":1269,"labels":1270,"dtpr_summary":1271},"833a1ae3-f667-4173-899d-dbc23ac71787","AI-Powered Court Outcome Prediction Tool","The Thaimis Court Outcome Prediction System is an artificial intelligence tool designed to assist Labour Relations Advisors within the Government of Canada by predicting court decisions with high accuracy. The system analyzes publicly available court cases to identify patterns and predict likely outcomes in legal matters, helping advisors make more informed decisions in labour relations disputes.\n\nThis system is currently in production use and serves Government of Canada employees who work in labour relations. The system does not process personal information as defined under privacy legislation. By providing predictions based on historical court data, the tool aims to improve the efficiency and consistency of labour relations decision-making across the public service.\n\nCitizens and public servants should know that this system uses publicly available court case data to generate its predictions. The tool is intended to support human decision-makers rather than replace them, and advisors should continue to exercise professional judgment when using these predictions.",[],{"purposes":1272,"decision_types":1274,"accountable":1276},[1273],{"id":704,"title":309,"icon":307,"key":309},[1275],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":1168,"icon":75,"key":1168},{"id":1278,"headline":1279,"subtitle":12,"intro_body":1280,"labels":1281,"dtpr_summary":1282},"62095967-2fa4-4812-ba7a-fd028b01483b","AI-Powered Insect Identification for Biodiversity Tracking","The Arthropod Detection and Classification System uses computer vision technology to automatically identify different insect species from images captured using sticky traps. This AI system is currently in development and is designed to help Government of Canada employees track and monitor biodiversity across agricultural regions.\n\nThe system analyzes trap images and displays results through an easy-to-use online dashboard, making it simple for users to see which insect species are present and track changes over time. This helps support agricultural monitoring and research efforts. The system does not collect or process personal information about individuals—it focuses solely on identifying insects and their populations.\n\nAs a government AI system, this tool operates with transparency in mind. Users should know that the system uses computer vision models trained on scientific research to make its identifications, and results are available only to authorized Government of Canada employees who use the system.",[],{"purposes":1283,"decision_types":1285,"accountable":1287},[1284],{"id":704,"title":309,"icon":307,"key":309},[1286],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":951,"icon":75,"key":951},{"id":1289,"headline":1290,"subtitle":12,"intro_body":1291,"labels":1292,"dtpr_summary":1293},"29163611-c821-45cc-a2a5-6178aff122c9","AI-Powered Plant Disease Detection","The Powdery Mildew Detection System is an artificial intelligence application currently in development by Agriculture and Agri-Food Canada. This web-based tool uses computer vision and machine learning to help farmers, gardeners, and agricultural professionals accurately identify powdery mildew—a common fungal disease that reduces crop quality and yield. The system analyzes images of plants to detect disease symptoms and provides actionable recommendations for disease management.\n\nThe system processes plant images using AI-powered image recognition technology trained on scientific research and visual examples of diseased plants. Currently in development, the system is being designed to be accessible and user-friendly for Government of Canada employees and agricultural professionals who need reliable disease identification tools.\n\nThis AI system does not collect or process personal information about individuals. The system focuses exclusively on analyzing plant images to detect disease presence and severity, helping users make informed decisions about agricultural management and disease treatment strategies.",[],{"purposes":1294,"decision_types":1298,"accountable":1300},[1295],{"id":1296,"title":1297,"icon":488,"key":1297},"plant_disease_detection","Plant Disease Detection",[1299],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":951,"icon":75,"key":951},{"id":1302,"headline":1303,"subtitle":12,"intro_body":1304,"labels":1305,"dtpr_summary":1306},"bd0d09e4-6b0f-44b2-8984-ffadff47e944","AI Assistant Supporting Qualitative Data Analysis","ProteBee is a generative AI assistant currently in development by Agriculture and Agri-Food Canada to support evaluation and qualitative data analysis. The system helps Government of Canada employees query, summarize, and analyze content from SharePoint folders and publicly available AAFC information using prompts informed by evaluation frameworks. It generates outputs with precise references to help evaluators identify insights and refine their analysis more efficiently.\n\nThis tool is designed to enhance evaluator capacity by streamlining routine tasks like summarization and coding, freeing up time for deeper research and stakeholder engagement. ProteBee operates in a secure, sandboxed environment to protect data while improving the efficiency and inclusiveness of evaluations. The system does not process personal information and is intended to support, not replace, human evaluators in their work.\n\nThe AI system uses a Large Language Model (LLM) to search and analyze evaluation data. Staff can interact with the system through natural language prompts to generate summaries and insights with documented references.",[],{"purposes":1307,"decision_types":1310,"accountable":1312},[1308,1309],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[1311],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":951,"icon":69,"key":951},{"id":1314,"headline":1315,"subtitle":12,"intro_body":1316,"labels":1317,"dtpr_summary":1318},"c1b87b9c-cbdb-4e6e-8d05-6b60a71d8702","Automating Insect Collection Label Transcription","Agriculture and Agri-Food Canada (AAFC) is developing an artificial intelligence system to automatically transcribe labels from approximately 100,000 insect specimens in its collection. The system uses generative AI models to extract and structure text information from photographed specimen labels—both printed and handwritten—enabling faster integration into the central insect database.\n\nThis digitization initiative streamlines the cataloguing process for government scientists and researchers who maintain Canada's insect collection. By automating the transcription of label information, the system reduces manual data entry work and helps preserve important scientific documentation. The system currently does not involve the collection or processing of personal information about individual citizens.\n\nThe project is currently in development and is being used internally by Government of Canada employees who work with the insect collection. This transparency page provides information about how the system processes data, what decisions it makes, and the safeguards in place to ensure accurate and responsible use of this technology.",[],{"purposes":1319,"decision_types":1322,"accountable":1324},[1320,1321],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[1323],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":951,"icon":69,"key":951},{"id":1326,"headline":1327,"subtitle":12,"intro_body":1328,"labels":1329,"dtpr_summary":1330},"73622f98-4b48-4b76-88d5-4871e725f1b9","Streamlining Digital Requirements Through AI Automation","The Data and Digital Requirements Intake Solution is an AI-powered system developed by the Government of Canada to streamline administrative processes in the Project Management Office. Currently in development, this system uses generative AI and workflow automation to help government employees intake and process new information management and information technology (IM\u002FIT) business applications and solutions. The system is designed to reduce administrative overhead while improving efficiency in automating business processes, enhancing existing applications, upgrading technology environments, and engaging resources from Shared Services Canada.\n\nThis system does not involve the collection or processing of personal information. It is intended for use by Government of Canada employees who interact with the Project Management Office for IM\u002FIT business intake purposes. The system leverages large language models for intelligent search capabilities and process optimization across AAFC SharePoint sites to help government teams work more efficiently.",[],{"purposes":1331,"decision_types":1334,"accountable":1336},[1332,1333],{"id":704,"title":309,"icon":307,"key":309},{"id":816,"title":239,"icon":237,"key":239},[1335],{"id":725,"title":726,"icon":727,"key":726},{"id":712,"title":951,"icon":75,"key":951},{"id":1338,"headline":1339,"subtitle":12,"intro_body":1340,"labels":1341,"dtpr_summary":1342},"ab24cf8a-4e54-4778-b96b-5e1b647fdca3","AI-Powered Gun Detection in Postal X-Rays","Canada Border Services Agency is developing an artificial intelligence system that uses machine learning to automatically detect guns and gun parts in X-ray images of postal items. This system is currently in development and is designed to enhance border security by quickly identifying prohibited firearms in mail shipments.\n\nThe AI system analyzes X-ray images to recognize objects that match the characteristics of guns and gun components. By automating this detection process, the system aims to improve the speed and consistency of screening at postal inspection facilities. The system will be used by Government of Canada employees involved in border security operations.\n\nThis system does not involve the processing of personal information. It focuses exclusively on object detection within X-ray imagery. The system is being developed by a vendor partner and will be deployed as part of Canada Border Services Agency's cargo and mail screening operations.",[],{"purposes":1343,"decision_types":1346,"accountable":1348},[1344,1345],{"id":737,"title":319,"icon":317,"key":319},{"id":758,"title":274,"icon":272,"key":274},[1347],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1349,"icon":69,"key":1349},"Canada Border Services Agency (CBSA)",{"id":1351,"headline":1352,"subtitle":12,"intro_body":1353,"labels":1354,"dtpr_summary":1355},"ac758519-b284-4b2a-89dc-bc1ba0fddc9f","AI-Powered Change Request Risk Analysis System","The Change Advisory Board (CAB) AI Chatbot is an artificial intelligence system designed to assist the Canada Revenue Agency in analyzing and managing change requests. The system correlates tens of thousands of data points from historical change requests and incident documentation to identify potential risks and prevent problems before they occur during the implementation of approved changes.\n\nThis system is currently in development and is intended for use by Government of Canada employees who work with the Change Advisory Board. The system uses machine learning to detect patterns and correlations at a scale and speed that human analysts cannot achieve, helping to make more informed decisions about change approvals. The system does not process personal information, focusing instead on historical change request data and organizational incident documentation.\n\nKey transparency information: The system analyzes approximately 300,000 lines of historical data from previous change requests and incidents. It uses open-source technology and applies correlation analysis to identify causal relationships between different data points. This analysis enables proactive risk identification rather than reactive problem-solving.",[],{"purposes":1356,"decision_types":1361,"accountable":1363},[1357,1358],{"id":704,"title":309,"icon":307,"key":309},{"id":1359,"title":1360,"icon":488,"key":1360},"proactive_risk_prevention","Proactive Risk Prevention",[1362],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":1144,"icon":75,"key":1144},{"id":1365,"headline":1366,"subtitle":12,"intro_body":1367,"labels":1368,"dtpr_summary":1369},"3cb44c3f-f6b5-447f-bd8c-67114a8e30df","AI-Powered Fuzzy Name Matching for Border Security","Fuzzy Search (SSAName3) is a critical software system operated by the Canada Border Services Agency to identify and flag high-risk travellers and goods at the border. The system uses fuzzy name searching and matching technology to compare traveller and commercial information across multiple CBSA databases, including passenger records, cargo manifests, and enforcement intelligence. This helps border officials quickly identify individuals or shipments that may pose security or compliance risks.\n\nThe system processes personal information about travellers and is used by Government of Canada employees across CBSA's traveller, commercial, and intelligence and enforcement operations. Because the system works with sensitive personal data and makes decisions that affect border security outcomes, it is important to understand how it identifies matches, what information it uses, and what safeguards protect your privacy. The system is currently in production and actively used in border operations.",[],{"purposes":1370,"decision_types":1373,"accountable":1376},[1371,1372],{"id":737,"title":319,"icon":317,"key":319},{"id":758,"title":274,"icon":272,"key":274},[1374,1375],{"id":775,"title":776,"icon":777,"key":776},{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1349,"icon":69,"key":1349},{"id":1378,"headline":1379,"subtitle":12,"intro_body":1380,"labels":1381,"dtpr_summary":1382},"48b0e102-fc78-44b4-9dc0-de05a3c9c4aa","AI-Powered Border Processing at Canadian Airports","The Primary Inspection Kiosk is a self-service system deployed at Canadian airports that enables travelers to complete border primary processing independently. The system uses facial recognition technology to verify traveler identity by comparing a current photo captured at the kiosk with the passport photo on file. This automated approach aims to streamline the border crossing experience while maintaining security and verification standards.\n\nThe system is currently in production and is used by members of the public crossing Canadian borders. It processes personal information including facial images and passport data. The kiosk is operated by Canada Border Services Agency in partnership with airport authorities, and travelers should be aware that their facial data and identity verification results are collected and processed as part of this system.",[],{"purposes":1383,"decision_types":1386,"accountable":1388},[1384],{"id":1385,"title":279,"icon":277,"key":279},"entry",[1387],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1349,"icon":69,"key":1349},{"id":1390,"headline":1391,"subtitle":12,"intro_body":1392,"labels":1393,"dtpr_summary":1394},"b6e1650e-267b-495d-9296-6e6571726fe8","AI-Powered Security Screening Review Assistant","The Security Screening Automation Project is an artificial intelligence system being developed by the Canada Border Services Agency to help expedite the review of security screening referrals. The system uses a large language model to analyze referral data and create narrative summaries that highlight potential security concerns, assisting screening officers in their review process.\n\nThe system processes narrative text data from security referrals and identifies pre-determined areas of concern. Rather than making final decisions about security clearance, the AI generates summaries and flags potential issues for human screening officers to review and make final determinations. This approach is designed to help officers work more efficiently while maintaining human oversight of all security decisions.\n\nThis system is currently in development and will process personal information. It is being used by Government of Canada employees who conduct security screening reviews. The system relies on open-source large language models to generate its summaries and analytical output.",[],{"purposes":1395,"decision_types":1397,"accountable":1399},[1396],{"id":737,"title":319,"icon":317,"key":319},[1398],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1349,"icon":69,"key":1349},{"id":1401,"headline":1402,"subtitle":12,"intro_body":1403,"labels":1404,"dtpr_summary":1405},"2e48d87a-939a-4ed2-af96-e6b2a27d5126","AI System Assisting Border Compliance Assessment","The Travellers Compliance Indicators (TCI) is an artificial intelligence system currently under development by the Canada Border Services Agency to assist border officers in their work. The system uses machine learning algorithms to help identify travellers who are likely to be compliant with border regulations and requirements.\n\nThis system will process personal information about travellers to support decision-making by Government of Canada employees at border checkpoints. The system is still in development and is not expected to be deployed until 2026. As an AI system that uses personal data to make assessments about individual travellers, it is subject to privacy safeguards and transparency requirements to ensure fair and accountable operations.\n\nThe primary users of this system will be Government of Canada border services employees who will use the AI-generated indicators to inform their compliance assessments and decision-making processes at ports of entry.",[],{"purposes":1406,"decision_types":1408,"accountable":1410},[1407],{"id":706,"title":294,"icon":292,"key":294},[1409],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1349,"icon":69,"key":1349},{"id":1412,"headline":1413,"subtitle":12,"intro_body":1414,"labels":1415,"dtpr_summary":1416},"6803fb8f-a1b4-4af2-98fb-26a2bf0ac2cf","AI-Powered Risk Assessment for Low-Value Shipments","The Canada Border Services Agency (CBSA) is developing an artificial intelligence system to assess the risk level of packages in the Courier Low Value Shipments (CLVS) stream. This system uses machine learning and probabilistic modeling to evaluate incoming shipment data and assign risk scores that help border officials identify packages that may require additional inspection or enforcement attention.\n\nThe system is currently in development and is primarily used by Government of Canada employees working in border services and enforcement. This AI system does not process personal information about individuals, focusing instead on cargo shipment characteristics and historical enforcement patterns to make its assessments.\n\nCitizens should know that this system helps CBSA process packages more efficiently by automating risk assessment, allowing border officers to focus their attention on shipments that pose a higher risk to Canada's security and safety.",[],{"purposes":1417,"decision_types":1420,"accountable":1422},[1418,1419],{"id":737,"title":319,"icon":317,"key":319},{"id":758,"title":274,"icon":272,"key":274},[1421],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":1349,"icon":69,"key":1349},{"id":1424,"headline":1425,"subtitle":12,"intro_body":1426,"labels":1427,"dtpr_summary":1428},"9b5aa972-8a66-49f6-9f93-231c24005b67","AI-Powered Radiation Detection Alarm Assessment","The RADNET Alarm Triage System is a machine learning algorithm developed and operated by the Canada Border Services Agency (CBSA) to assess and prioritize radiation portal monitor alarms at border facilities. The system analyzes radiation emission data from cargo containers to identify abnormal radiation signatures and help CBSA officers determine which alarms require immediate attention.\n\nThis system affects border security operations by automating the initial assessment of radiation detection alerts, potentially improving response times and resource allocation at ports of entry. Government of Canada employees use this system to make radiation safety decisions. The system is currently in production and does not process personal information, focusing instead on radiation emissions data from monitoring equipment.\n\nKey transparency information: This system uses historical radiation portal monitor data collected by CBSA Security & Engineering staff. Decisions made by this system help CBSA personnel prioritize which cargo containers require further inspection, making it an important tool for protecting Canada's borders.",[],{"purposes":1429,"decision_types":1431,"accountable":1433},[1430],{"id":737,"title":319,"icon":317,"key":319},[1432],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":1349,"icon":75,"key":1349},{"id":1435,"headline":1436,"subtitle":12,"intro_body":1437,"labels":1438,"dtpr_summary":1439},"09f7d454-f72b-4e3f-a4d9-88e14c2a310c","AI-Powered Translation for Regulatory Documents","TradooIT is a neural machine translation system deployed by the Canada Energy Regulator's Translation Group to enhance the accuracy and speed of document translation in complex regulatory contexts. The system uses machine learning models trained on historical translation data to provide more consistent and contextually appropriate translations of regulatory materials.\n\nThe system is currently in production and is used by Government of Canada employees within the Translation Group. TradooIT does not process personal information—it focuses exclusively on translating regulatory documents and materials. The system is regularly improved and retrained using organizational translation data to maintain accuracy and adapt to evolving regulatory terminology and context-specific language patterns.\n\nThis transparency page provides information about how TradooIT operates, what data it uses, and how it makes decisions about translations. The system was developed by a vendor partner and is overseen by the Canada Energy Regulator to ensure it meets the organization's quality and regulatory compliance standards.",[],{"purposes":1440,"decision_types":1443,"accountable":1445},[1441,1442],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[1444],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1105,"icon":69,"key":1105},{"id":1447,"headline":1448,"subtitle":12,"intro_body":1449,"labels":1450,"dtpr_summary":1451},"d12ddf8f-c531-4cd3-9fc7-128d16541915","AI Assistant for Productivity in Microsoft 365","Microsoft 365 Copilot is an AI-powered assistant integrated into Microsoft 365 applications including Word, Excel, and Teams. This system is designed to help Government of Canada employees create, analyze, and communicate more effectively by leveraging advanced language models to generate content, summarize information, transcribe meetings, and automate routine tasks across the Microsoft 365 suite.\n\nThe system accesses your organization's Microsoft 365 data—including emails, documents, and calendar information—through Microsoft Graph to provide personalized assistance tailored to your work context. This integration enables the assistant to understand your organizational context and deliver more relevant and useful support for your daily productivity tasks.\n\nThis system is currently in production and does not involve the processing of personal information as defined in privacy legislation. Employees should be aware that their organizational data is being used to power the AI assistant's recommendations and that they can interact with the system across multiple Microsoft 365 applications for various productivity and communication tasks.",[],{"purposes":1452,"decision_types":1455,"accountable":1457},[1453,1454],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[1456],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1105,"icon":75,"key":1105},{"id":1459,"headline":1460,"subtitle":12,"intro_body":1461,"labels":1462,"dtpr_summary":1463},"d4869e71-eac1-4b80-9eba-5b61bd10342b","AI-Powered Employee Support Chatbot","ESDC Virtual Assistant (EVA) is a generative AI chatbot designed to empower Government of Canada employees with intelligent support for workplace tasks including summarizing documents, editing content, coding assistance, and research. The system uses OpenAI's GPT 4.0 mini model and has been approved for use with Protected B classified data, ensuring sensitive government information is handled appropriately.\n\nThis AI system is currently in production and is available to all GC employees as an internal tool. The chatbot learns from user-provided inputs to deliver personalized assistance while maintaining strict privacy protections and accessibility standards. All interactions are processed through Microsoft infrastructure, with careful safeguards in place to prevent unauthorized access to personal or confidential information.\n\nBecause this system processes personal information and makes recommendations that affect how employees work, we believe you should understand how it operates, what data it uses, and what protections are in place. This page provides transparent information about EVA's capabilities, data handling practices, and your rights when using this AI-powered service.",[],{"purposes":1464,"decision_types":1467,"accountable":1469},[1465,1466],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[1468],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":763,"icon":75,"key":763},{"id":1471,"headline":1472,"subtitle":12,"intro_body":1473,"labels":1474,"dtpr_summary":1475},"a550656c-3ec1-4e67-9e5c-8e83d2d2f19f","AI-Powered Chatbot for CRA Customer Service","The Canada Revenue Agency (CRA) is developing a public-facing generative AI chatbot to assist Canadians with general inquiries about tax and revenue services. This chatbot, currently in development, leverages advanced artificial intelligence technology (ChatGPT) to provide an additional service channel that complements traditional contact centers and alleviates service pressure. The system is designed to allow citizens to start and complete their service journey in the digital space using a tiered approach.\n\nThis AI system uses text and speech analysis capabilities to understand citizen questions and generate helpful responses based on unclassified information from CRA's public website (canada.ca). The chatbot does not process personal information and is intended for general public use. The system is being developed in partnership with vendors including Microsoft and Amazon, and the CRA has notified the public of this AI implementation as part of its transparency commitments.",[],{"purposes":1476,"decision_types":1479,"accountable":1481},[1477,1478],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[1480],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1144,"icon":69,"key":1144},{"id":1483,"headline":1484,"subtitle":12,"intro_body":1485,"labels":1486,"dtpr_summary":1487},"9588cee2-238d-4faa-b5e1-fb30f4ee60ef","AI-Powered Text Generation for Communications","The Canada Revenue Agency is developing an AI system to assist with generating communications content more efficiently. The system uses generative AI tools to help draft communications products based on approved and publicly available information that has already been reviewed. This system is currently in development and will primarily be used by Government of Canada employees.\n\nThe AI system analyzes historical communication databases containing media responses, fact sheets, and parliamentary question responses from the past two decades. By learning from these approved communications, the system can help generate new content drafts, reducing the significant time burden of creating additional communications materials.\n\nThis system does not process personal information. The system is being developed with Microsoft as the technology vendor. All generated content will continue to be subject to the same approval and quality processes used for other government communications.",[],{"purposes":1488,"decision_types":1490,"accountable":1492},[1489],{"id":706,"title":294,"icon":292,"key":294},[1491],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1144,"icon":75,"key":1144},{"id":1494,"headline":1495,"subtitle":12,"intro_body":1496,"labels":1497,"dtpr_summary":1498},"1c634616-ccb8-4d0d-9666-57537a205d1b","Secure Generative AI for Government Employees","Genni is an internal generative AI tool developed by the Canada Revenue Agency to help employees complete AI-powered tasks securely within the government network. Unlike public AI tools, Genni is specifically designed to handle sensitive government information classified up to Protected B level, ensuring that taxpayer data and confidential government content remain within secure government systems.\n\nThe system provides enterprise-wide access to generative AI capabilities including content generation, text analysis, and classification functions. Genni processes information from multiple CRA data sources including tax guidance documents, service feedback, and internal communications to support employee work across the organization.\n\nThis system is currently in production and primarily serves Government of Canada employees. Please note that Genni does process personal information in the course of its operations. Employees and the public should be aware of how this tool handles sensitive data to ensure appropriate use and protection of confidential information.",[],{"purposes":1499,"decision_types":1502,"accountable":1504},[1500,1501],{"id":874,"title":234,"icon":231,"key":234},{"id":816,"title":239,"icon":237,"key":239},[1503],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1144,"icon":69,"key":1144},{"id":1506,"headline":1507,"subtitle":12,"intro_body":1508,"labels":1509,"dtpr_summary":1510},"a0574853-fd59-4ebf-8cbd-79519b2e9fe5","Instant Online Access Through Facial Recognition","The Canada Revenue Agency (CRA) launched the Digital Identity Validation system in March 2024 to provide taxpayers with immediate access to online tax services. Previously, taxpayers had to wait 5-10 days to receive a security code by mail. The new system uses facial recognition technology combined with government-issued ID verification to authenticate users instantly through their smartphones. This AI-powered solution significantly reduces wait times and decreases demand on CRA contact centres. The system is currently in production and primarily serves members of the public who need to access CRA online services. Please note: This system processes personal information, including facial biometric data and government-issued identity documents.",[],{"purposes":1511,"decision_types":1513,"accountable":1515},[1512],{"id":1385,"title":279,"icon":277,"key":279},[1514],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1144,"icon":69,"key":1144},{"id":1517,"headline":1518,"subtitle":12,"intro_body":1519,"labels":1520,"dtpr_summary":1521},"c9c3bfaf-3664-4413-8f89-6e8976d82aec","AI-Powered Search and Analysis of Tax Collection Notes","CAVIA Phase 2 is an intelligent search and analysis system developed by the Canada Revenue Agency to help employees more efficiently access and utilize diary notes stored in the ACSES system. The system uses advanced natural language processing to search across all diary notes and extract relevant information about previous account actions, such as payment requirements issued, phone calls made, associated account numbers, and legal warnings.\n\nThis system is currently in development and will be used by Canada Revenue Agency employees working in collections and verification. The system processes personal information from individual taxpayers, corporations, trusts, and other tax entities. Employees will be able to search diary notes more quickly and accurately, improving productivity while reducing manual research time.\n\nKey transparency information: This system involves processing personal information, uses natural language processing and generative AI capabilities, and is being developed by a vendor (AWS). The Canada Revenue Agency will notify the public about this AI system in accordance with government transparency requirements.",[],{"purposes":1522,"decision_types":1525,"accountable":1530},[1523,1524],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[1526,1527],{"id":744,"title":745,"icon":746,"key":745},{"id":1528,"title":1529,"icon":488,"key":1529},"information_retrieval","Information Retrieval",{"id":712,"title":1144,"icon":75,"key":1144},{"id":1532,"headline":1533,"subtitle":12,"intro_body":1534,"labels":1535,"dtpr_summary":1536},"4a3d2b7c-c73f-4eb6-9a2b-c741d295240b","AI-Powered Architecture Document Analysis Tool","The ITAS AI Architectural Assistant is a proof-of-concept system being developed by the Canada Revenue Agency to enhance internal architectural processes. This AI system assists Government of Canada employees by automating content summarization, information retrieval, and content generation tasks related to internal architecture documents. The system is currently in development and is designed to help improve efficiency in how architectural information is processed and accessed.\n\nThis system processes internal architecture documents to extract, summarize, and generate relevant information. It helps employees quickly find and understand complex architectural documentation without manual review of extensive materials. The system does not currently involve processing of personal information.\n\nAs a proof-of-concept initiative, this tool is being evaluated for its feasibility and potential impact on improving architectural workflows within the organization. Employees using this system should be aware that it is still under development and feedback is welcome to help refine its capabilities.",[],{"purposes":1537,"decision_types":1540,"accountable":1542},[1538,1539],{"id":814,"title":314,"icon":312,"key":314},{"id":706,"title":294,"icon":292,"key":294},[1541],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1144,"icon":75,"key":1144},{"id":1544,"headline":1545,"subtitle":12,"intro_body":1546,"labels":1547,"dtpr_summary":1548},"760e9469-f785-47e8-bf71-27208c7bbe99","AI-Powered Employee Survey Text Analysis","The Canada Revenue Agency (CRA) uses an AI system to analyze open-ended responses from employee surveys through natural language processing and text analysis. This system helps identify patterns and trends in employee feedback across multiple survey programs, supporting evidence-based decisions about HR programs and workplace initiatives.\n\nThe system processes survey responses submitted by CRA employees to extract meaningful insights. It uses Python-based text analysis techniques, including clustering and predictive modeling, to understand common themes and workforce sentiment. This analysis helps leadership understand employee perspectives and make informed decisions about HR programs.\n\n**Key Facts:** This system is currently in development. It does not involve the collection or use of personal information beyond the survey responses themselves. The primary users are Government of Canada employees who benefit from improved HR decision-making based on aggregated survey insights.",[],{"purposes":1549,"decision_types":1551,"accountable":1553},[1550],{"id":704,"title":309,"icon":307,"key":309},[1552],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1144,"icon":75,"key":1144},{"id":1555,"headline":1556,"subtitle":12,"intro_body":1557,"labels":1558,"dtpr_summary":1559},"52cc0c32-f312-49a2-9c5b-4cec21eff198","AI-Powered Legacy Code Analysis System","The AI AWS Transform - Mainframe system is a proof of concept developed by the Canada Revenue Agency to explore how artificial intelligence can help modernize our legacy COBOL mainframe applications. This system uses machine learning to automatically analyze thousands of lines of legacy code, identify key system components, generate documentation, and extract underlying business logic that would otherwise require manual review by developers.\n\nThe system is currently in development and is intended for use by Government of Canada employees involved in application modernization and infrastructure analysis. It processes the source code of our mainframe applications to create structured insights about system architecture and functionality, helping us plan more informed modernization strategies.\n\nThis proof of concept does not involve the processing of personal information about individuals. It focuses exclusively on technical analysis of our internal application code to support organizational decision-making around technology infrastructure.",[],{"purposes":1560,"decision_types":1563,"accountable":1565},[1561,1562],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[1564],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1144,"icon":69,"key":1144},{"id":1567,"headline":1568,"subtitle":12,"intro_body":1569,"labels":1570,"dtpr_summary":1571},"c43cf225-f988-4129-9bd2-4cbef9816d6e","Virtual Assistant Supporting Live Training Sessions","The AI Co-Facilitation System (Sora) is a virtual assistant developed to support facilitators during live training sessions and virtual instructor-led training (VILT) at the Canada School of Public Service. The system provides real-time assistance with moderation and polling, helping to manage participant engagement and gather feedback during training events. This system is currently in development and is designed primarily for use by Government of Canada employees. The system processes live session chat data and polling responses to provide its assistance. Please note that this system involves the collection and processing of personal information.",[],{"purposes":1572,"decision_types":1574,"accountable":1576},[1573],{"id":816,"title":239,"icon":237,"key":239},[1575],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1578,"headline":1579,"subtitle":12,"intro_body":1580,"labels":1581,"dtpr_summary":1582},"7932522c-f6c6-4840-9115-ec7684774f8c","AI-Powered COBOL Development Support Tool","The COBOL Coding Assistant is an artificial intelligence tool currently in development by the Canada Revenue Agency to support software developers working with COBOL programming language. This system is designed to address the challenge of a declining pool of experienced COBOL developers by automating routine coding tasks and improving code quality.\n\nThe assistant helps developers by generating COBOL code snippets, creating documentation and test cases, detecting coding errors, and providing syntax assistance. In its current stage, it offers targeted support for specific coding tasks. The long-term vision is to integrate this capability into a comprehensive development environment that will increase development speed and improve code maintainability through automated analysis and generation of code, documentation, and test cases.\n\nThis tool is intended for use by Government of Canada employees only and does not process personal information. The system is built using open source technology and draws from internal government mainframe code repositories. Citizens and the public should know that this system is designed to improve the internal efficiency of government software development and is not used to make decisions that affect the public.",[],{"purposes":1583,"decision_types":1585,"accountable":1589},[1584],{"id":814,"title":314,"icon":312,"key":314},[1586],{"id":1587,"title":1588,"icon":488,"key":1588},"code_generation","Code Generation",{"id":712,"title":1144,"icon":75,"key":1144},{"id":1591,"headline":1592,"subtitle":12,"intro_body":1593,"labels":1594,"dtpr_summary":1595},"ab4f6118-0c67-42b3-9eaa-dd36be392f0d","AI-Powered Java Code Development Assistant","The Java Coding Assistant Tool is a generative AI system currently in development at the Canada Revenue Agency designed to streamline software development workflows for Government of Canada employees. This tool assists developers by generating code suggestions, analyzing code snippets, and helping enforce consistent coding practices across projects. By automating routine coding tasks, the system aims to reduce manual coding errors and improve overall code quality and developer productivity.\n\nThe system uses Java code snippets from internal development activities as input and applies generative AI techniques to produce code suggestions and analysis. It does not process personal information about individuals, focusing solely on technical code content. The tool operates transparently within the agency's development environment, with ongoing evaluation of more integrated and purpose-built solutions running in parallel.\n\nGovernment of Canada employees should be aware that this system is still under development and represents an experimental application of generative AI technology within the public sector. The agency is committed to responsible deployment, with appropriate oversight and evaluation of the system's effectiveness and impacts.",[],{"purposes":1596,"decision_types":1601,"accountable":1608},[1597,1600],{"id":1598,"title":1599,"icon":488,"key":1599},"content_generation","Code Generation and Enhancement",{"id":816,"title":239,"icon":237,"key":239},[1602,1604],{"id":1598,"title":1603,"icon":488,"key":1603},"Content Generation",{"id":1605,"title":1606,"icon":1607,"key":1606},"anomaly_detection_decision","Code Quality and Anomaly Detection","",{"id":712,"title":1144,"icon":75,"key":1144},{"id":1610,"headline":1611,"subtitle":12,"intro_body":1612,"labels":1613,"dtpr_summary":1614},"7a2be375-af93-446e-a967-e45ebcadfde5","AI Fraud Detection in CRA Portal Access","The Canada Revenue Agency (CRA) has developed an artificial intelligence system to detect fraudulent and suspicious transactions occurring within its secure portals. This system analyzes billions of historical access logs and user interaction records to identify unusual patterns that may indicate fraudulent activity.\n\nThe system uses machine learning algorithms to scan through vast volumes of digital fingerprint data collected from users accessing CRA portals. When suspicious transactions are identified, appropriate security measures can be taken to protect user accounts and CRA systems. This system is currently in development and primarily serves Government of Canada employees.\n\nPlease note: This system does not process personal information as defined under privacy legislation, focusing instead on transaction patterns and access logs to identify anomalies.",[],{"purposes":1615,"decision_types":1617,"accountable":1619},[1616],{"id":737,"title":319,"icon":317,"key":319},[1618],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":1144,"icon":75,"key":1144},{"id":1621,"headline":1622,"subtitle":12,"intro_body":1623,"labels":1624,"dtpr_summary":1625},"0f3be454-f2c9-491a-a045-0bf33b343592","AI-Powered Transcription and Translation System","The Canada Revenue Agency has developed an automated subtitling system that transcribes audio and video content, translates transcripts and subtitles, and creates redubbed versions of media. This AI system is currently in development and is designed to streamline the manual transcription process while supporting both official languages.\n\nThis system is primarily used by Government of Canada employees and does not involve the collection or processing of personal information. The system leverages over 30,000 CRA and Government of Canada terms from the Terminology Database to ensure accurate, contextually appropriate translations and transcriptions across both English and French.\n\nThe automated subtitling system uses open-source technology and machine learning to reduce the time and labor required for transcription and translation tasks. As this system is still in development, the Canada Revenue Agency continues to refine its capabilities and integration with existing IT support processes.",[],{"purposes":1626,"decision_types":1630,"accountable":1632},[1627,1628,1629],{"id":874,"title":234,"icon":231,"key":234},{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[1631],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1144,"icon":75,"key":1144},{"id":1634,"headline":1635,"subtitle":12,"intro_body":1636,"labels":1637,"dtpr_summary":1638},"3f0e96c1-8aa4-415a-9d88-0db9c7f39e3b","AI-Powered Leadership Coaching for Government Managers","The AI Coach for Managers is a digital coaching system developed by Skillsoft (Caisy) that is embedded within leadership training modules offered by the Canada School of Public Service. This conversational AI system provides on-demand guidance and support to Government of Canada employees who are developing their leadership capabilities.\n\nThe system uses a conversational interface with contextual learning to deliver personalized coaching advice based on course content. When employees interact with leadership modules, the AI Coach can answer questions, provide real-time feedback, and offer tailored guidance relevant to their learning journey. This enhances the learning experience by making expert coaching available whenever needed.\n\nThe system is currently in production and does not process personal information beyond what is necessary to deliver coaching interactions within the course context. The AI Coach helps democratize access to quality coaching resources across the federal public service.",[],{"purposes":1639,"decision_types":1641,"accountable":1643},[1640],{"id":816,"title":239,"icon":237,"key":239},[1642],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1645,"headline":1646,"subtitle":12,"intro_body":1647,"labels":1648,"dtpr_summary":1649},"bfd8eab1-fcb7-494d-99a1-4cc9397c4cc2","AI-Powered Business Requirements Analysis","The Business Requirements Bot is an AI system being developed by the Canada Revenue Agency to improve the efficiency of analyzing business requirements for software development projects. The system addresses a common challenge where incomplete or missing requirements lead to delays in development timelines, assumptions that increase technical debt, and solutions that don't fully address business problems.\n\nThis tool will help Government of Canada employees by maintaining a unified repository of business requirements that can be compared against new requirements, speeding up the analysis process and identifying gaps. In its long-term vision, the system will automatically generate outputs such as test cases, requirements documentation, and linkages to previous benefits, while also serving as a centralized repository for system documentation to support knowledge transfer between developers and subject matter experts.\n\nThe system is currently in development and does not involve the collection or processing of personal information. It uses Functional Requirements Documents (FRDs) from existing benefits as its primary data source and is being developed using open source technologies.",[],{"purposes":1650,"decision_types":1652,"accountable":1654},[1651],{"id":704,"title":309,"icon":307,"key":309},[1653],{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":1144,"icon":69,"key":1144},{"id":1656,"headline":1657,"subtitle":12,"intro_body":1658,"labels":1659,"dtpr_summary":1660},"763571d1-a594-4968-9909-20677c1b788c","AI-Powered IT Support Knowledge Assistant","DWSD Evolution - Gen-AI is an artificial intelligence system being developed by the Canada Revenue Agency to help employees find answers to common IT support questions without requiring direct assistance from the NITSD (National Information Technology Support Desk). The system creates a unified repository of information from Fusion knowledge articles, allowing employees to self-serve and resolve their own IT issues more quickly.\n\nThis system affects Government of Canada employees who use IT services by potentially reducing wait times for support and empowering them to find solutions independently. The AI uses generative AI technology to help employees search and understand technical documentation more effectively.\n\nThe system is currently in development and does not involve personal information collection. Employees should know that this tool is designed to streamline IT support processes and free up IT staff resources for more complex technical issues.",[],{"purposes":1661,"decision_types":1663,"accountable":1668},[1662],{"id":706,"title":294,"icon":292,"key":294},[1664,1665],{"id":835,"title":836,"icon":837,"key":836},{"id":1666,"title":1667,"icon":488,"key":1667},"self_service_deflection","Self-Service Deflection",{"id":748,"title":1144,"icon":69,"key":1144},{"id":1670,"headline":1671,"subtitle":12,"intro_body":1672,"labels":1673,"dtpr_summary":1674},"9a0f52c3-2f4a-42af-b7d2-3bb989b82cbd","AI-Assisted Software Development for Government","Codeium is an AI-powered code completion and suggestion system currently in development by the Canada School of Public Service. The system accelerates software development and reduces manual coding effort by automatically completing code, suggesting fixes, and generating boilerplate templates using context-aware artificial intelligence trained on open-source repositories. The primary users are Government of Canada employees involved in software development activities.\n\nThis system does not involve the collection or processing of personal information about individuals. Instead, it operates on internal government code and development contexts to provide intelligent coding assistance. Government developers benefit from reduced development time and improved code quality through AI-assisted suggestions and completions. The system is being developed by an external vendor (Windsurf) and has been registered in the Government of Canada's AI registry to ensure transparency and accountability in its deployment and use.",[],{"purposes":1675,"decision_types":1677,"accountable":1679},[1676],{"id":816,"title":239,"icon":237,"key":239},[1678],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1681,"headline":1682,"subtitle":12,"intro_body":1683,"labels":1684,"dtpr_summary":1685},"7551ed49-9eda-42db-8646-6ccc7f174f1b","AI-Powered Code Assistance for Developers","VS Code Copilot AI is an artificial intelligence system designed to support Government of Canada developers by automating repetitive coding tasks and improving overall code quality. The system is currently in production and is used by GC employees across the organization. Copilot AI analyzes code patterns and provides intelligent suggestions to help developers write code more efficiently and with fewer errors.\n\nThis system is provided by Microsoft through VS Code and operates within the development environment. Developers interact with the system through code suggestions and completions as they work. The system does not involve the collection or processing of personal information about individuals; rather, it focuses on code-level data and development patterns.\n\nAs a public sector AI system, this tool is subject to oversight and transparency requirements. Developers using this system should understand how it processes their code, what data it may retain, and their rights regarding the use of their code contributions.",[],{"purposes":1686,"decision_types":1688,"accountable":1690},[1687],{"id":816,"title":239,"icon":237,"key":239},[1689],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1168,"icon":75,"key":1168},{"id":1692,"headline":1693,"subtitle":12,"intro_body":1694,"labels":1695,"dtpr_summary":1696},"3a859431-1921-4de3-8501-c5665db518dd","AI Video and Voiceover Generation for Training","The Canada School of Public Service uses an AI system to generate custom videos, responses, and voiceovers that support learning events and courses. This system takes existing learning content and automatically generates engaging video products with AI-generated narration. The system is currently in production and is used by Government of Canada employees to enhance their learning experiences. This AI system does not collect or process personal information about individuals, focusing instead on transforming educational content into multimedia formats.",[],{"purposes":1697,"decision_types":1699,"accountable":1701},[1698],{"id":814,"title":314,"icon":312,"key":314},[1700],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1703,"headline":1704,"subtitle":12,"intro_body":1705,"labels":1706,"dtpr_summary":1707},"283eac7d-0d96-4324-a991-eeba8224f309","AI-Powered Idea Generation System","Radia One is an artificial intelligence system developed by a vendor in partnership with the Canada School of Public Service to support idea generation and creative thinking. The system is primarily used by Government of Canada employees to assist in brainstorming, problem-solving, and innovation activities across federal departments and agencies.\n\nThis system processes user inputs to generate new ideas and suggestions based on patterns learned from its training data. The system does not appear to involve the processing of personal information in its core operations, though standard data governance practices apply to all user interactions.\n\nCitizens and public servants should be aware that this is a generative AI tool designed to augment human creativity and decision-making, not replace it. All outputs should be reviewed and validated by human experts before being used in official government decisions or communications.",[],{"purposes":1708,"decision_types":1710,"accountable":1712},[1709],{"id":706,"title":294,"icon":292,"key":294},[1711],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1714,"headline":1715,"subtitle":12,"intro_body":1716,"labels":1717,"dtpr_summary":1718},"0d870e20-31a4-424b-8e06-bae68e6aa4a0","AI-Powered Policy Briefing Note Generation","Global Affairs Canada is experimenting with artificial intelligence to help policy analysts draft briefing notes more efficiently. The system uses OpenAI's advanced language models to create initial draft briefing documents by analyzing internal data and documents uploaded by users, such as Word files, PDFs, and emails. A policy analyst then reviews, validates, and enhances these AI-generated drafts to produce the final briefing note.\n\nThis system is currently in the experimentation phase and is available to Government of Canada employees working in policy analysis roles. The system does not involve the collection or processing of personal information about individuals. The AI model works by finding relevant documents through advanced search capabilities and then synthesizing information from those documents into a coherent briefing format that analysts can use as a starting point for their work.\n\nAs part of Canada's commitment to transparency about AI use in government, this system is being monitored and documented to ensure it operates responsibly and delivers value to policy teams across Global Affairs Canada and other departments including Strategic Planning, Policy and Operations.",[],{"purposes":1719,"decision_types":1722,"accountable":1724},[1720,1721],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[1723],{"id":1598,"title":1603,"icon":488,"key":1603},{"id":748,"title":1725,"icon":69,"key":1725},"Global Affairs Canada",{"id":1727,"headline":1728,"subtitle":12,"intro_body":1729,"labels":1730,"dtpr_summary":1731},"863d97d9-7b3d-4da2-97d4-e9b9be6274a9","AI-Powered Development and Learning Content Tools","The Canada School of Public Service uses AI tools to accelerate product development cycles and improve the quality, usability, and accessibility of learning content and code. These tools support Government of Canada employees by providing capabilities for code generation, debugging, research support, and accessibility improvements. The system is currently in production and does not collect or process personal information about individuals.\n\nThe AI tools are developed in partnership with major technology vendors including OpenAI, Anthropic, and Google. They work with internal code and content repositories to assist with development tasks. Because these tools do not involve personal information, privacy risks are minimized, though organizations should remain vigilant about intellectual property, code security, and the appropriate use of AI-generated outputs.\n\nThis transparency page provides information about how these AI tools operate, what data they use, and how they support the public service's mission to deliver better learning and development resources.",[],{"purposes":1732,"decision_types":1736,"accountable":1739},[1733,1734,1735],{"id":814,"title":314,"icon":312,"key":314},{"id":816,"title":239,"icon":237,"key":239},{"id":874,"title":234,"icon":231,"key":234},[1737,1738],{"id":744,"title":745,"icon":746,"key":745},{"id":1587,"title":1588,"icon":488,"key":1588},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1741,"headline":1742,"subtitle":12,"intro_body":1743,"labels":1744,"dtpr_summary":1745},"d26b8522-caae-4f5c-95bb-5ad3e9ace95e","AI-Powered Semantic Web Ontology Creation","Obsidian is an AI system developed by Obsidian for the Canada School of Public Service that creates semantic web ontologies. These ontologies are structured frameworks that define relationships and meanings within data, enabling better organization and understanding of information across digital systems.\n\nThis system processes input data to generate semantic ontologies that can improve how public service information is organized, searched, and understood. The system helps create standardized definitions and relationships that make it easier for different systems and users to work with shared information.\n\nKey transparency information: This system does not involve the processing of personal information. Users should be aware that the system is currently in development and may be updated as the semantic ontology framework matures.",[],{"purposes":1746,"decision_types":1749,"accountable":1751},[1747,1748],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[1750],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1753,"headline":1754,"subtitle":12,"intro_body":1755,"labels":1756,"dtpr_summary":1757},"ef29684f-e857-4d5b-9436-98360e2d65fc","AI-Powered Media Monitoring Search Tool","The Financial Consumer Agency of Canada uses an integrated AI tool to build more effective boolean searches for media monitoring purposes. This system is currently in production and helps optimize search queries to identify relevant media content more efficiently. The AI tool is used by internal systems rather than directly by employees or the public, and assists in filtering and organizing media information for agency monitoring activities. The system is developed and operated by Meltwater, a specialized media monitoring vendor.",[],{"purposes":1758,"decision_types":1760,"accountable":1762},[1759],{"id":706,"title":294,"icon":292,"key":294},[1761],{"id":725,"title":726,"icon":727,"key":726},{"id":712,"title":1763,"icon":75,"key":1763},"Financial Consumer Agency of Canada (FCAC)",{"id":1765,"headline":1766,"subtitle":12,"intro_body":1767,"labels":1768,"dtpr_summary":1769},"2c1e20b9-b46f-4e64-b7dc-70fce250a7e4","Brain-Based Leadership Development Feedback System","NILES is an AI-powered leadership coaching system deployed by the Canada School of Public Service to provide brain-based feedback on decision-making and self-awareness. The system analyzes self-assessment data provided by Government of Canada employees to deliver personalized leadership development insights.\n\nThis system is currently in production and processes personal information as part of its coaching feedback process. The AI uses pattern analysis to identify cognitive and behavioral patterns that can help public service leaders improve their effectiveness. Users should understand that their self-assessment responses are analyzed by an AI system to generate coaching recommendations.\n\nAs a public employee using this system, you have rights regarding how your personal information is used and the ability to understand how the AI system arrives at its coaching recommendations. This transparency page explains how NILES collects, processes, and uses your data.",[],{"purposes":1770,"decision_types":1772,"accountable":1774},[1771],{"id":706,"title":294,"icon":292,"key":294},[1773],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1168,"icon":75,"key":1168},{"id":1776,"headline":1777,"subtitle":12,"intro_body":1778,"labels":1779,"dtpr_summary":1780},"44351c80-081c-40ac-b3e9-5512d8b384be","AI-Enhanced Security Screening Decision Support","CATSA Assist Enhancements is an artificial intelligence system currently in development that uses natural language processing to improve how Canadian Air Transport Security Authority (CATSA) employees and screening personnel make decisions about whether items are permitted through airport security checkpoints. When screening officers encounter items they are uncertain about, they can use this AI-powered tool to quickly access guidance on security regulations and item restrictions.\n\nThe system is designed to enhance the speed and consistency of security screening decisions by helping personnel interpret complex security rules. It uses natural language processing technology to understand questions in plain language and retrieval augmented generation to provide accurate, current information from CATSA's security guidelines. This system does not collect or store personal information about travelers—it focuses exclusively on helping staff make better screening decisions.\n\nThis tool is available only to authorized CATSA employees and screening personnel as part of their job functions. The system is in active development and has been registered with the Government of Canada's AI registry to ensure transparency and accountability as it is tested and refined for operational use.",[],{"purposes":1781,"decision_types":1784,"accountable":1786},[1782,1783],{"id":1385,"title":279,"icon":277,"key":279},{"id":737,"title":319,"icon":317,"key":319},[1785],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":1787,"icon":75,"key":1787},"Canadian Air Transport Security Authority (CATSA)",{"id":1789,"headline":1790,"subtitle":12,"intro_body":1791,"labels":1792,"dtpr_summary":1793},"f21a889d-7d7c-42b3-a8c0-10d1a1e6fec6","AI-Powered Express Entry Application Screening","FinDec is an artificial intelligence system used by Immigration, Refugees and Citizenship Canada to screen Express Entry applications. The system uses predictive modelling to analyze applications and assist in the initial review process. Express Entry is Canada's primary immigration pathway for skilled workers, and this AI system helps manage the high volume of applications received. The system is used by Government of Canada employees who work in immigration processing. FinDec processes personal information as part of its application screening function.",[],{"purposes":1794,"decision_types":1796,"accountable":1798},[1795],{"id":706,"title":294,"icon":292,"key":294},[1797],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":850,"icon":69,"key":850},{"id":1800,"headline":1801,"subtitle":12,"intro_body":1802,"labels":1803,"dtpr_summary":1804},"87726748-e4a2-4b20-960b-0328940edd82","AI-Powered Visual Design Creation Tool","Napkin is an artificial intelligence system deployed by the Canada School of Public Service to assist Government of Canada employees in creating visual content and design elements. The system is currently in production and is developed by a third-party vendor. This tool helps streamline the visual creation process by providing AI-powered assistance for design tasks. The system does not involve collection or processing of personal information. Users should be aware that this AI system generates visual outputs based on prompts and parameters provided by the user, and all visual content created remains the responsibility of the user to verify for accuracy and appropriateness.",[],{"purposes":1805,"decision_types":1807,"accountable":1809},[1806],{"id":816,"title":239,"icon":237,"key":239},[1808],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1168,"icon":75,"key":1168},{"id":1811,"headline":1812,"subtitle":12,"intro_body":1813,"labels":1814,"dtpr_summary":1815},"44fc6358-0b35-4abb-af95-bee851f88eba","AI-Powered Learning Scenario and Diagram Generation","Miro AI is an artificial intelligence system deployed by the Canada School of Public Service to assist in creating learning products. The system helps Government of Canada employees generate ideas for training scenarios and automatically creates diagrams and workflow visualizations. This tool is currently in production and is designed to enhance the efficiency of instructional design and curriculum development processes.\n\nThe system processes user inputs and learning requirements to generate visual representations and scenario ideas that can be used in educational materials. Miro AI does not involve the processing of personal information. Users should note that this system is vendor-developed and operated, and interactions with it are subject to standard data handling practices for Government of Canada digital tools.\n\nAs an AI-assisted design tool, Miro AI supports the creative and planning phases of learning product development, helping employees visualize complex concepts and explore multiple scenario possibilities more efficiently than manual design approaches.",[],{"purposes":1816,"decision_types":1818,"accountable":1820},[1817],{"id":704,"title":309,"icon":307,"key":309},[1819],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1822,"headline":1823,"subtitle":12,"intro_body":1824,"labels":1825,"dtpr_summary":1826},"bc74e859-b353-437f-9b8d-a484d03d5ec9","AI-Powered Immersive Training Scene Generation","The Game-Based Scene Creation System uses artificial intelligence to generate immersive, scenario-based learning environments for Government of Canada employee training. Developed by the Canada School of Public Service in partnership with MidJourney and Google Gemini Pro, this system transforms training scripts and storyboards into visually engaging scene assets that enhance learning outcomes.\n\nThis system is currently in production and is used exclusively by Government of Canada employees as part of their professional development and training programs. The system does not collect, process, or store personal information about users—it focuses solely on generating training content based on provided storyboards and training scripts.\n\nThe AI generates images and scenes through advanced generative models, allowing instructional designers to quickly create rich, immersive training environments. This technology streamlines the development of scenario-based training modules while maintaining quality and consistency across learning materials.",[],{"purposes":1827,"decision_types":1829,"accountable":1831},[1828],{"id":706,"title":294,"icon":292,"key":294},[1830],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1833,"headline":1834,"subtitle":12,"intro_body":1835,"labels":1836,"dtpr_summary":1837},"3ed8b510-4f21-4320-a4ed-009c1844df8b","AI-Powered Training Course Discovery Assistant","SchoolGPT is a conversational AI chatbot developed by the Canada School of Public Service (CSPS) to help government employees discover and explore training courses. The system is integrated into the course search platform and uses artificial intelligence to understand learner needs and recommend relevant training options based on their interests and background.\n\nThe chatbot enhances the learning experience by providing personalized course recommendations through natural language conversations. When you interact with SchoolGPT, it analyzes your questions and searches through the CSPS course catalogue to suggest the most relevant training programs for your professional development.\n\nThis system is currently in production and is available to all Government of Canada employees. SchoolGPT does not process personal information beyond what is necessary to provide course recommendations. The system uses privacy-preserving techniques to mask any personally identifiable information in user queries, ensuring your privacy is protected while you receive helpful training guidance.",[],{"purposes":1838,"decision_types":1841,"accountable":1843},[1839,1840],{"id":816,"title":239,"icon":237,"key":239},{"id":706,"title":294,"icon":292,"key":294},[1842],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1168,"icon":75,"key":1168},{"id":1845,"headline":1846,"subtitle":12,"intro_body":1847,"labels":1848,"dtpr_summary":1849},"85302971-28f8-4829-b09e-9ec1f02ab359","Personalized Course Recommendations for GC Employees","The Recommender Model is an AI system developed by the Canada School of Public Service (CSPS) to provide personalized course recommendations to Government of Canada employees. The system analyzes learner profiles, behavior patterns, and course metadata to suggest relevant training opportunities tailored to individual needs and career development goals.\n\nThis system affects employees by shaping which training courses are recommended to them based on their past learning behavior and professional profile. The recommendations are generated through collaborative filtering and skill graph integration techniques that identify patterns in how similar learners have engaged with courses.\n\nThe system is currently in development and involves the processing of personal information about learners. It is being hosted on Microsoft Azure infrastructure. Key transparency information: The system uses learner behavior data, course metadata, and feedback to generate recommendations. Employees should be aware that their learning patterns and course interactions are analyzed to power the recommendation engine.",[],{"purposes":1850,"decision_types":1852,"accountable":1854},[1851],{"id":706,"title":294,"icon":292,"key":294},[1853],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1856,"headline":1857,"subtitle":12,"intro_body":1858,"labels":1859,"dtpr_summary":1860},"d6587885-0a9e-4618-8c57-cbe8f78fe49b","AI-Powered Learning Resource Organization","The Catalogue Management AI system is designed to optimize how learning resources are indexed, classified, and discovered within the Canada School of Public Service (CSPS) course catalogue. The system uses automated tagging and classification models to improve search functionality and help Government of Canada employees find the learning resources most relevant to their needs.\n\nThis AI system works with course catalogue metadata to enhance the accessibility and discoverability of learning materials. The system is currently in development and will eventually include Netflix-style recommendation capabilities to personalize learning suggestions. Since this system processes non-personal metadata rather than individual employee information, it does not involve the collection of personal data.\n\nAs a Government of Canada service developed with Microsoft Azure infrastructure, this system is subject to notification requirements and transparency measures to ensure public confidence in how AI is being deployed to serve government employees and their learning needs.",[],{"purposes":1861,"decision_types":1863,"accountable":1866},[1862],{"id":706,"title":294,"icon":292,"key":294},[1864,1865],{"id":775,"title":776,"icon":777,"key":776},{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1868,"headline":1869,"subtitle":12,"intro_body":1870,"labels":1871,"dtpr_summary":1872},"085e69e0-624a-4422-b3bd-e1cec9d74ab4","AI-Powered Document and Data Assistant","Microsoft Copilot is an artificial intelligence system deployed by the Canada School of Public Service to help Government of Canada employees automate routine tasks. The system uses generative AI capabilities integrated into Microsoft Office 365 applications (Word, Excel, and PowerPoint) and provides contextual chat assistance through Microsoft Graph. Employees can use Copilot to draft documents, analyze data, and create presentations more efficiently.\n\nThe system is currently in production and is primarily used by GC employees within the Government of Canada's Microsoft tenant environment. Copilot accesses emails, documents, and chat messages stored within the organization's tenant to provide contextual assistance. Because the system processes personal information and organizational data, the Canada School of Public Service has implemented this system with appropriate oversight and transparency measures to ensure responsible AI use within government operations.\n\nThis page provides transparency about how Copilot operates, what data it uses, how decisions are made, and what protections are in place. Government employees using this system should understand these details to make informed decisions about what information they share with the AI assistant.",[],{"purposes":1873,"decision_types":1877,"accountable":1879},[1874,1875,1876],{"id":874,"title":234,"icon":231,"key":234},{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[1878],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1881,"headline":1882,"subtitle":12,"intro_body":1883,"labels":1884,"dtpr_summary":1885},"310240f1-8d6a-4169-8341-37a247360964","AI Agent Builder for Government Workflows","Copilot Studio is a no-code\u002Flow-code tool currently in development that enables Government of Canada employees to build custom AI agents for internal automation use cases. The system provides a visual interface for creating and deploying AI agents to streamline workflows and automate routine tasks within the organization.\n\nThis system is designed to enhance operational efficiency by allowing employees to create AI-powered solutions without requiring extensive programming knowledge. As the system processes internal workflows and automation tasks, it may involve the handling of personal information depending on the specific use cases implemented by individual users.\n\nCitizens and stakeholders should be aware that this tool is still in development, is intended for internal government use only, and is being developed in partnership with Microsoft. The system's scope and capabilities may change as it moves through development phases.",[],{"purposes":1886,"decision_types":1889,"accountable":1894},[1887,1888],{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[1890],{"id":1891,"title":1892,"icon":1893,"key":1892},"resource_allocation","Allocation of resources","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fdm_allocation-of-resources.svg",{"id":748,"title":1168,"icon":69,"key":1168},{"id":1896,"headline":1897,"subtitle":12,"intro_body":1898,"labels":1899,"dtpr_summary":1900},"b2bd146d-ac4d-4614-af5a-a205ec67d159","AI-Powered Code Completion and Development Tool","GitHub Copilot is an AI-powered code assistant designed to support developers working within the Government of Canada. The system uses OpenAI's Codex technology to provide real-time code suggestions, automate repetitive coding tasks, and help refactor code within integrated development environments like Visual Studio Code. This tool aims to improve developer productivity and code quality while reducing the time spent on routine coding work.\n\nThe system is currently in development and is primarily used by Government of Canada employees. GitHub Copilot does not process personal information—it works with internal code repositories and focuses on technical code analysis and suggestions. The system is developed by Microsoft in partnership with OpenAI. Users should understand that their code input to the system may be used to improve the underlying AI model, and code suggestions are generated based on patterns learned from large codebases.",[],{"purposes":1901,"decision_types":1903,"accountable":1905},[1902],{"id":704,"title":309,"icon":307,"key":309},[1904],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1168,"icon":75,"key":1168},{"id":1907,"headline":1908,"subtitle":12,"intro_body":1909,"labels":1910,"dtpr_summary":1911},"e3079e98-31a1-4627-b4cf-4f69dce85be4","AI-Powered Security Threat Detection and Response","Microsoft Sentinel is an artificial intelligence-powered security system deployed by the Canada School of Public Service to centralize threat detection, investigation, and response across the enterprise. The system analyzes security logs, Microsoft 365 alerts, and hybrid cloud workloads to detect anomalies in logins, web visits, emails, file access, and cloud activity using machine learning and graph-based analytics. This system processes personal information and is currently in production. GC employees are the primary users of this system, and it provides enhanced security monitoring and incident response capabilities across the organization.",[],{"purposes":1912,"decision_types":1914,"accountable":1917},[1913],{"id":737,"title":319,"icon":317,"key":319},[1915,1916],{"id":911,"title":912,"icon":913,"key":912},{"id":709,"title":710,"icon":488,"key":710},{"id":748,"title":1168,"icon":69,"key":1168},{"id":1919,"headline":1920,"subtitle":12,"intro_body":1921,"labels":1922,"dtpr_summary":1923},"ba63790a-1412-4e3d-9c93-baf0402179c5","AI-Powered Grants and Contributions Discovery Tool","The Grants and Contributions Discovery Assistant is an AI-powered tool developed by Canadian Heritage to help members of the public find and understand available funding opportunities. This experimental system uses a specialized Large Language Model trained on the Department's grant and contribution programs and guidelines to improve program discoverability and enhance service delivery for clients seeking funding. The system was developed as a 10-week experiment exploring how human-centered AI and machine learning could revolutionize how grants and contributions are managed and delivered.\n\nThis system does not involve the collection or processing of personal information. It operates as an agent assistant that helps users navigate funding programs by providing information about available grants and contributions based on departmental program structures and guidelines. The system is currently in retired status, though the Department has identified significant potential to scale this approach across the broader public sector.\n\nThe tool demonstrates the transformative capabilities of AI in public service delivery, particularly in making government funding programs more accessible and easier to discover. Citizens and organizations seeking funding can interact with the AI assistant to explore programs that match their needs and circumstances.",[],{"purposes":1924,"decision_types":1926,"accountable":1928},[1925],{"id":706,"title":294,"icon":292,"key":294},[1927],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1929,"icon":69,"key":1929},"Canadian Heritage",{"id":1931,"headline":1932,"subtitle":12,"intro_body":1933,"labels":1934,"dtpr_summary":1935},"c14d0356-634b-4cd1-914d-281414ad4464","AI-Powered Productivity Assistant Pilot","The Canadian Radio-television and Telecommunications Commission (CRTC) is conducting a pilot program to evaluate Microsoft Copilot, an AI-powered digital companion designed to enhance employee productivity and creativity. This system uses advanced large language model technology to provide intelligent assistance to CRTC staff members. The pilot is currently in exploration phase to assess the potential value and feasibility of integrating this tool into the organization's operations.\n\nMicrosoft Copilot functions as a generative AI chatbot that can assist with various workplace tasks. Government of Canada employees participating in this pilot may interact with the system to support their daily work activities. As this is a pilot program, the CRTC is carefully evaluating the system's capabilities, limitations, and implications before making broader deployment decisions.\n\nKey considerations for this pilot include understanding how the system processes information, ensuring appropriate safeguards are in place, and assessing alignment with government standards and requirements. Citizens and stakeholders should be aware that this pilot represents an exploratory phase of AI adoption within the CRTC.",[],{"purposes":1936,"decision_types":1939,"accountable":1941},[1937,1938],{"id":704,"title":309,"icon":307,"key":309},{"id":816,"title":239,"icon":237,"key":239},[1940],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1942,"icon":69,"key":1942},"Canadian Radio-television and Telecommunications Commission (CRTC)",{"id":1944,"headline":1945,"subtitle":12,"intro_body":1946,"labels":1947,"dtpr_summary":1948},"4f75a52e-ee86-4ed9-849d-1d9d79fff355","Endpoint Security Threat Detection System","Microsoft Defender for Endpoint is a security system deployed by the Canada School of Public Service to protect government employee devices, identities, and cloud applications from cyber threats. The system uses behavioral analytics to identify suspicious device activity, compromised user identities, and risky cloud application usage patterns that may indicate security breaches or unauthorized access attempts.\n\nThe system collects and analyzes telemetry data from endpoints (government computers and devices), Active Directory signals, and client certificate information to detect potential threats. This system processes personal information about Government of Canada employees and their device usage patterns. Employees should be aware that their device activity is monitored for security purposes, and the system may flag suspicious behavior for investigation by IT security teams.\n\nThis system is currently in production and is a vendor-provided solution developed by Microsoft. Employees should understand how this monitoring affects their privacy and what rights they have regarding access to information about their flagged activities.",[],{"purposes":1949,"decision_types":1951,"accountable":1953},[1950],{"id":737,"title":319,"icon":317,"key":319},[1952],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":1168,"icon":75,"key":1168},{"id":1955,"headline":1956,"subtitle":12,"intro_body":1957,"labels":1958,"dtpr_summary":1959},"fa05cf2c-79f0-4ee7-a127-89258c2151cc","AI-Powered Diagram and Chart Creation","Mermaid is a visualization system used by the Canada School of Public Service to create charts, diagrams, timelines, and other visual representations of data and information. The system is developed and maintained by a vendor partner and is used to help communicate complex information through visual formats.\n\nThis tool enables users to quickly generate professional diagrams and charts for training materials, presentations, and documentation. The system processes user inputs to automatically create visual representations, making it easier to explain concepts and relationships in a clear, accessible format.\n\nKey transparency information: This is a vendor-provided solution (Status: Not specified), and the system does not involve processing personal information. Primary users and specific implementation details are under review.",[],{"purposes":1960,"decision_types":1963,"accountable":1968},[1961,1962],{"id":706,"title":294,"icon":292,"key":294},{"id":814,"title":314,"icon":312,"key":314},[1964,1965],{"id":835,"title":836,"icon":837,"key":836},{"id":1966,"title":1967,"icon":488,"key":1967},"diagram_type_selection","Diagram Type and Format Selection",{"id":712,"title":1168,"icon":75,"key":1168},{"id":1970,"headline":1971,"subtitle":12,"intro_body":1972,"labels":1973,"dtpr_summary":1974},"c5783123-5def-4749-9339-3b1cb2f2c505","Real-time AI Analysis of Training Feedback","The AI in Learner Feedback Analysis system uses natural language processing technology to automatically cluster and extract themes from open-ended feedback provided by Government of Canada employees during training courses. The system processes learner responses in real time, identifying common patterns and topics to help instructors and course developers understand participant experiences and improve training content.\n\nThis system processes personal information, as it analyzes feedback that may contain identifying details or personal perspectives from learners. The system is currently in production and is operated by the Canada School of Public Service in partnership with Mentimeter, the vendor technology provider. Primary users of this system are GC employees participating in training programs, as well as instructors and administrators who review the analyzed feedback results.\n\nThe system is designed to enhance the learning experience by providing rapid insights into learner sentiment and emerging themes, enabling real-time course adjustments and continuous improvement of government training programs.",[],{"purposes":1975,"decision_types":1978,"accountable":1980},[1976,1977],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[1979],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":1168,"icon":75,"key":1168},{"id":1982,"headline":1983,"subtitle":12,"intro_body":1984,"labels":1985,"dtpr_summary":1986},"d1360a77-63ef-4e79-998e-e3eac9ff15a9","AI-Powered Leadership Coaching for Public Servants","The AI Leadership Coach is an innovative tool developed by the Canada School of Public Service to enhance leadership development through artificial intelligence. This AI-driven coaching chatbot provides personalized guidance on leadership reflection and professional growth, helping Government of Canada employees develop their coaching and mentoring capabilities.\n\nThe system is designed to complement traditional leadership training by offering interactive, on-demand coaching support based on established leadership learning modules. This tool is currently in development and will be accessible to GC employees seeking to strengthen their leadership competencies.\n\nImportantly, this system does not involve the collection or processing of personal information about users. The AI coaching interactions are based on leadership learning content and general coaching principles, not individual user data or profiles. This design choice prioritizes user privacy while still delivering valuable leadership development support.",[],{"purposes":1987,"decision_types":1989,"accountable":1991},[1988],{"id":816,"title":239,"icon":237,"key":239},[1990],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1168,"icon":75,"key":1168},{"id":1993,"headline":1994,"subtitle":12,"intro_body":1995,"labels":1996,"dtpr_summary":1997},"1accb24c-72a8-4fe0-bf65-bb8eddd8e904","AI-Powered Virtual Interview Feedback Tool","The Virtual Interview Feedback system is an AI-powered tool developed by Knockri to provide automated feedback on virtual interview performance. It is currently in development at the Canada School of Public Service and is designed to help Government of Canada employees build and improve their communication skills through video analysis and personalized feedback on speech and tone.\n\nThis system analyzes video recordings of practice interviews to provide real-time feedback on interview performance. The system processes personal information, including video recordings and audio analysis, to generate actionable insights that help users enhance their communication abilities. The feedback is designed to be developmental in nature, supporting employees as they prepare for interviews.\n\nAs this system is still in development, the Canada School of Public Service is committed to transparency about how it works and what data it collects. Users should be aware that their practice interview recordings will be analyzed by the AI system to generate feedback, and they have rights regarding access to and use of their personal information throughout this process.",[],{"purposes":1998,"decision_types":2000,"accountable":2003},[1999],{"id":706,"title":294,"icon":292,"key":294},[2001,2002],{"id":835,"title":836,"icon":837,"key":836},{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":1168,"icon":69,"key":1168},{"id":2005,"headline":2006,"subtitle":12,"intro_body":2007,"labels":2008,"dtpr_summary":2009},"76641817-3592-4bd9-93ac-f42fcdb474e4","AI-Powered Interactive Learning Content Creation","The Canada School of Public Service (CSPS) uses AI tools to create engaging graphics, interactive content, and visual learning materials for Government of Canada employees. This system leverages generative media creation and text-to-image technologies to enhance the accessibility and effectiveness of learning content.\n\nThe system processes learning content through AI models provided by vendors including Google, OpenAI, Canva, Venngage, and Adobe to generate graphics and interactive design elements. These AI-generated materials help make training more engaging and accessible to diverse learners across the federal government.\n\nThis system is currently in production and does not process personal information. GC employees interact with the AI-generated learning materials to support their professional development and training needs.",[],{"purposes":2010,"decision_types":2013,"accountable":2015},[2011,2012],{"id":874,"title":234,"icon":231,"key":234},{"id":706,"title":294,"icon":292,"key":294},[2014],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1168,"icon":75,"key":1168},{"id":2017,"headline":2018,"subtitle":12,"intro_body":2019,"labels":2020,"dtpr_summary":2021},"2888f991-42de-4381-b92a-139839caa73e","AI-Powered Leadership and Personality Assessment","The Psychometric Testing system is an AI-driven assessment tool deployed by the Canada School of Public Service to provide leadership and personality development insights for Government of Canada employees. This system analyzes learner assessment responses to generate psychometric profiles and leadership assessments that help individuals understand their strengths, development areas, and leadership potential.\n\nThe system processes personal information about participants, including their assessment responses and psychometric data, to create individualized reports used in professional development programs. Employees should understand that their responses to assessment questions are analyzed by an AI system to generate personality and leadership profiles that may influence their career development opportunities and training recommendations.\n\nThis system is currently in production and was developed by Global Leadership Associates. The Canada School of Public Service remains accountable for how this AI system is deployed and how the assessment results are used in employee development decisions.",[],{"purposes":2022,"decision_types":2024,"accountable":2026},[2023],{"id":706,"title":294,"icon":292,"key":294},[2025],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":2028,"headline":2029,"subtitle":12,"intro_body":2030,"labels":2031,"dtpr_summary":2032},"e1d422fd-4606-4295-9804-1ddb35f25e21","AI-Powered Learning Assistant for GC Employees","The AI Tutor Chatbot is an intelligent learning assistant developed for the Canada School of Public Service to provide personalized tutoring and knowledge assessments within online training modules. The system is currently in production and is used by Government of Canada employees to access content-specific tutoring and complete formative assessment activities.\n\nThis chatbot engages with learners through conversational interactions, answering questions about course material and administering knowledge checks to help track learning progress. The system uses CSPS course content and quiz data to deliver contextually relevant responses and assessments.\n\nKey transparency information: This system processes personal information about GC employees, including their learning interactions and assessment results. The system was developed by external vendors (ELB Learning, AITutorPro, and Mizou) and operates as part of the CSPS learning infrastructure.",[],{"purposes":2033,"decision_types":2036,"accountable":2038},[2034,2035],{"id":706,"title":294,"icon":292,"key":294},{"id":814,"title":314,"icon":312,"key":314},[2037],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":2040,"headline":2041,"subtitle":12,"intro_body":2042,"labels":2043,"dtpr_summary":2044},"7d6078f7-bb35-48e4-9730-4936957d694f","AI-Powered Ocean Data Anomaly Detection","The Oceanographic Anomaly Detection System uses machine learning to automatically identify unusual patterns in ocean conductivity, temperature, and depth (CTD) data collected from Canadian waters. This system helps marine scientists quickly identify significant physical phenomena in the ocean's state that warrant closer investigation, improving research efficiency and scientific discovery.\n\nThe system is currently in development by Fisheries and Oceans Canada and is intended for use by Government of Canada employees involved in oceanographic research and monitoring. The system does not involve processing personal information about individuals—it analyzes purely physical oceanographic measurements to support scientific research and ocean monitoring objectives.",[],{"purposes":2045,"decision_types":2047,"accountable":2049},[2046],{"id":814,"title":314,"icon":312,"key":314},[2048],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":2050,"icon":69,"key":2050},"Fisheries and Oceans Canada (DFO)",{"id":2052,"headline":2053,"subtitle":12,"intro_body":2054,"labels":2055,"dtpr_summary":2056},"1703b287-532d-44a2-853b-ae95f5681682","AI-Assisted Educational Content Creation System","Lumi is an AI-powered learning content generation system used by the Canada School of Public Service to enhance educational experiences for Government of Canada employees. The system automatically generates learning materials including quizzes, practice questions, assignments, and instructional design content within the Brightspace learning management platform. This system is currently in production and is developed by the vendor D2L.\n\nThe system works by analyzing course content stored in Brightspace to create tailored educational materials that improve learner engagement and assessment capabilities. Employees interact with this system as learners when they encounter AI-generated quizzes and practice questions within their training courses.\n\nImportantly, this system does not process personal information about individuals. The AI focuses on generating educational content based on course materials rather than analyzing personal learner data. All users have been notified of the system's presence and capabilities.",[],{"purposes":2057,"decision_types":2060,"accountable":2062},[2058,2059],{"id":706,"title":294,"icon":292,"key":294},{"id":814,"title":314,"icon":312,"key":314},[2061],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":2064,"headline":2065,"subtitle":12,"intro_body":2066,"labels":2067,"dtpr_summary":2068},"e2803c16-a0ef-44d6-b278-8a1bdb81a37f","AI-Powered Program Evaluation Analysis Tool","Canadian Heritage is piloting ChatGPT Teams to support program evaluation activities. This system analyzes large volumes of qualitative information collected through interviews, surveys, and literature reviews to identify recurring themes and patterns in plain language. The system is currently in development and is used by Government of Canada employees to assist with analysis and reporting, without processing any personal or protected information. This pilot project helps gather best practices and lessons learned to inform longer-term AI solutions across the organization.",[],{"purposes":2069,"decision_types":2071,"accountable":2073},[2070],{"id":704,"title":309,"icon":307,"key":309},[2072],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":1929,"icon":75,"key":1929},{"id":2075,"headline":2076,"subtitle":12,"intro_body":2077,"labels":2078,"dtpr_summary":2079},"c3dc8a60-33c5-438f-818a-c60774f95102","AI-Powered Client Service Chatbot","MAIA is a conversational AI chatbot developed in part by the Canada School of Public Service and integrated into the Client Contact Centre. The system uses advanced semantic search capabilities to help answer questions from Government of Canada employees by searching through frequently asked questions and the CSPS course catalogue. The chatbot is currently in production and serves as a first-line support tool for employees seeking information about courses and services.\n\nThe system incorporates privacy-preserving technology including personally identifiable information (PII) masking to protect sensitive data during conversations. MAIA does not collect or process personal information about individual users—instead, it focuses on providing informational support based on institutional knowledge and resources. All interactions are processed through Amazon Web Services infrastructure.\n\nThis AI system has been designed with transparency and accountability in mind. Employees interacting with MAIA should understand that they are communicating with an automated system that retrieves information from pre-existing organizational resources rather than making decisions about them.",[],{"purposes":2080,"decision_types":2082,"accountable":2084},[2081],{"id":706,"title":294,"icon":292,"key":294},[2083],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1168,"icon":69,"key":1168},{"id":2086,"headline":2087,"subtitle":12,"intro_body":2088,"labels":2089,"dtpr_summary":2090},"77b53c9e-ca08-4ded-a3db-46aabfaa1349","AI-Powered SharePoint Information Assistant","The SharePoint Chatbots system is an artificial intelligence application deployed on Microsoft SharePoint Online websites by the Canadian Air Transport Security Authority (CATSA). The system is designed to improve user experience and streamline information retrieval for Government of Canada employees who access CATSA's internal information resources.\n\nThis chatbot assists employees by responding to questions and helping users locate information more efficiently within SharePoint environments. The system is currently in production and is operated by Microsoft as the technology vendor. The system does not involve processing of personal information.",[],{"purposes":2091,"decision_types":2093,"accountable":2095},[2092],{"id":706,"title":294,"icon":292,"key":294},[2094],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1787,"icon":69,"key":1787},{"id":2097,"headline":2098,"subtitle":12,"intro_body":2099,"labels":2100,"dtpr_summary":2101},"343c34d9-b5f0-4497-895a-d5d71f44af5e","AI-Powered Results Data Extraction System","The Results Stories LLM Project is an artificial intelligence system currently in development by Housing, Infrastructure and Communities Canada. This system uses a fine-tuned Large Language Model to automatically extract numerical data and key information from textual project descriptions and reports. The system is designed to improve the efficiency and accuracy of results reporting by converting narrative project information into structured data that can be more easily analyzed and tracked.\n\nThe system processes project titles and descriptions from Government of Canada housing and infrastructure initiatives. It is intended for use by Government of Canada employees involved in project management and results reporting. This system does not involve the processing of personal information about individuals. The AI extraction capability enables more consistent and comprehensive results reporting across multiple projects and programs.",[],{"purposes":2102,"decision_types":2104,"accountable":2106},[2103],{"id":704,"title":309,"icon":307,"key":309},[2105],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":2107,"icon":75,"key":2107},"Housing, Infrastructure and Communities Canada (HICC)",{"id":2109,"headline":2110,"subtitle":12,"intro_body":2111,"labels":2112,"dtpr_summary":2113},"84e26440-b29f-488f-91a1-8f14c8e5a6bb","AI Writing and Data Analysis for Office","Microsoft Copilot for Office Suite is an artificial intelligence system deployed by the Canadian Air Transport Security Authority to enhance productivity across Microsoft Office applications. The system uses generative AI to provide writing assistance in Word and Outlook, helping employees improve grammar, style, and document clarity. In Excel, Copilot analyzes data patterns and trends to deliver predictive insights and formatted visualizations, enabling more informed decision-making. This system is currently in production and is used by Government of Canada employees. The system does not involve processing personal information in its core operations.",[],{"purposes":2114,"decision_types":2118,"accountable":2120},[2115],{"id":2116,"title":2117,"icon":488,"key":2117},"productivity","Productivity",[2119],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1787,"icon":69,"key":1787},{"id":2122,"headline":2123,"subtitle":12,"intro_body":2124,"labels":2125,"dtpr_summary":2126},"ccf0deeb-5a3b-4696-b71d-8ec54ddce812","AI-Powered Search Tool for Operating Procedures","The Standard Operating Procedures Assistant is an artificial intelligence tool currently in development by the Canadian Air Transport Security Authority (CATSA). This system uses advanced natural language processing technology to help Government of Canada employees search through and understand CATSA's Standard Operating Procedures documents more efficiently.\n\nThe assistant leverages natural language processing and retrieval augmented generation capabilities to allow users to ask questions and receive relevant information from the procedures database in plain language, rather than having to manually search through documents. This makes it easier for staff to find the guidance they need to perform their duties correctly and consistently.\n\nAs this system is still in development, CATSA is carefully evaluating how it will work and ensure it meets organizational needs. The system does not involve processing personal information about individuals. All Government of Canada employees who need to reference operating procedures will be the primary users of this tool.",[],{"purposes":2127,"decision_types":2129,"accountable":2131},[2128],{"id":706,"title":294,"icon":292,"key":294},[2130],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1787,"icon":69,"key":1787},{"id":2133,"headline":2134,"subtitle":12,"intro_body":2135,"labels":2136,"dtpr_summary":2137},"50e35722-1586-47de-a846-c058f0c02dff","AI-Powered Screening Anomaly Detection System","The Canadian Air Transport Security Authority (CATSA) is developing an AI-powered computer vision system to detect screening anomalies at non-passenger screening checkpoints. This system is currently in development and uses advanced algorithms to identify unusual patterns or potential issues during the screening process, flagging them for human review and oversight activities.\n\nThe system processes visual information from checkpoint operations to support security personnel in their oversight responsibilities. This AI system involves the processing of personal information and will be deployed for use by Government of Canada employees. The system is being built using open source technology and development practices.\n\nCitizens and employees should understand that this system augments human decision-making rather than replacing it—all flagged anomalies require human review before any actions are taken. CATSA is committed to transparency about this AI deployment and its role in aviation security operations.",[],{"purposes":2138,"decision_types":2140,"accountable":2142},[2139],{"id":737,"title":319,"icon":317,"key":319},[2141],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1787,"icon":69,"key":1787},{"id":2144,"headline":2145,"subtitle":12,"intro_body":2146,"labels":2147,"dtpr_summary":2148},"79ca441e-d31c-4421-9773-ba9ca6c09b23","AI-Powered Natural Language Data Analysis","Microsoft Copilot for Microsoft Power BI is an AI-assisted data analysis system deployed by the Canadian Air Transport Security Authority. The system enables government employees to interact with data using natural language queries and automatic report generation, removing barriers to data exploration for users without deep technical expertise.\n\nThis system leverages natural language processing to allow intuitive data exploration and automated report generation. Users can ask questions about their data in everyday language, and the system will identify relevant datasets, perform analyses, and present findings in clear, accessible formats. The system is currently in production and serves Canadian Air Transport Security Authority employees.\n\nKey transparency information: This system does not involve the collection of personal information about individuals. It processes internal organizational data and is designed to enhance self-service analytics capabilities for government staff.",[],{"purposes":2149,"decision_types":2153,"accountable":2155},[2150,2151,2152],{"id":874,"title":234,"icon":231,"key":234},{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[2154],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1787,"icon":69,"key":1787},{"id":2157,"headline":2158,"subtitle":12,"intro_body":2159,"labels":2160,"dtpr_summary":2161},"28fd9550-937d-4413-a0f8-a424ddcb97fd","AI-Powered Threat Detection in Airport Baggage Screening","The APIDS (Automated Prohibited Item Detection) system is an artificial intelligence-based tool designed to enhance security screening at Canadian airports by automatically identifying potentially dangerous items in passenger luggage. The system works by analyzing X-ray and CT scan images of baggage, comparing the physical properties of items (such as density and atomic number) against known threat profiles to flag suspicious contents for human review.\n\nThis system affects airport security operations and ultimately the traveling public by improving detection capabilities while maintaining human oversight of final security decisions. The algorithms are continuously evaluated and updated to meet regulatory standards set by Transport Canada, the TSA, and ECAC. Currently in development, this system involves no collection of personal information about passengers—it analyzes only baggage contents. All algorithms undergo rigorous testing with real explosives before deployment to ensure they meet stringent security certification requirements.",[],{"purposes":2162,"decision_types":2164,"accountable":2166},[2163],{"id":737,"title":319,"icon":317,"key":319},[2165],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":1787,"icon":75,"key":1787},{"id":2168,"headline":2169,"subtitle":12,"intro_body":2170,"labels":2171,"dtpr_summary":2172},"55370026-6f6a-4257-8e9a-76ca5a35b4a9","AI-Powered Human Resources Management System","The Canadian Air Transport Security Authority (CATSA) is developing an AI-enhanced Human Resources Management System (HRMS) to modernize HR operations across the organization. This system is currently in development and will help manage employee position changes, maintain comprehensive historical records, and support critical HR functions including pay equity analysis, succession planning, and recruitment processes.\n\nThe system will primarily serve Government of Canada employees and will use artificial intelligence to automate routine HR tasks and improve operational efficiency. Because this system processes personal information about employees—including employment history, compensation data, and career progression records—CATSA is committed to transparent governance and responsible AI deployment.\n\nThis system is still under development. Citizens and employees should be aware that personal information is involved in this AI system, and CATSA is conducting thorough assessment of how the system will protect privacy and ensure fair treatment across all HR functions.",[],{"purposes":2173,"decision_types":2175,"accountable":2178},[2174],{"id":704,"title":309,"icon":307,"key":309},[2176,2177],{"id":775,"title":776,"icon":777,"key":776},{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":748,"title":1787,"icon":69,"key":1787},{"id":2180,"headline":2181,"subtitle":12,"intro_body":2182,"labels":2183,"dtpr_summary":2184},"aecc6321-6318-4b65-aa9b-1fc21fb52bbd","AI-Powered Employment Equity Data Analysis Platform","EquiVision is an AI-enhanced data analysis platform developed by Employment and Social Development Canada to help identify employment barriers and promote workplace equity across federally regulated employers. The system uses artificial intelligence and natural language processing to automate the collection and analysis of Diversity, Equity and Inclusion (DEI) data, providing insights into representation rates and pay gaps in private-sector workplaces.\n\nThis system affects employers subject to federal employment equity requirements, government decision-makers, and business sectors seeking to understand and improve workplace diversity. By processing employment data through AI-driven analysis, the system generates reports and insights that help organizations identify equity challenges and track progress. The system is currently in development and will process personal information related to employee demographics and compensation.\n\nKey transparency information: This system uses generative AI and natural language processing capabilities to analyze employment data. It is developed in collaboration with Microsoft and is primarily used by Government of Canada employees. The system processes personal information and users should be aware that their employment data may be analyzed through automated AI processes to identify patterns related to workplace equity.",[],{"purposes":2185,"decision_types":2188,"accountable":2190},[2186,2187],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[2189],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":763,"icon":69,"key":763},{"id":2192,"headline":2193,"subtitle":12,"intro_body":2194,"labels":2195,"dtpr_summary":2196},"31ded126-62b0-4fbb-847e-ace52a9b21cb","AI-Powered Data Analysis for CATSA Operations","CATSA GPT is a secure generative AI system currently in development for use by Canadian Air Transport Security Authority employees. The system uses advanced Retrieval-Augmented Generation (RAG) models to enhance data analysis capabilities, enabling rapid insights through AI-driven data analysis and contextual understanding. This system is designed exclusively for internal Government of Canada employee use to support data mining and analytical decision-making.\n\nThe system does not process personal information and focuses on enabling CATSA employees to extract meaningful patterns and insights from organizational data more efficiently. By combining retrieval capabilities with generative AI, CATSA GPT allows users to ask natural language questions and receive contextually relevant analytical results, improving the speed and depth of data-driven insights.\n\nAs an in-development system, CATSA GPT is subject to ongoing security assessment and refinement to ensure it meets government standards for secure AI deployment. Access is limited to authorized Government of Canada employees who require data analysis capabilities in support of CATSA's operational and strategic objectives.",[],{"purposes":2197,"decision_types":2202,"accountable":2204},[2198,2201],{"id":2199,"title":2200,"icon":488,"key":2200},"data_mining","Data Mining and Analysis",{"id":704,"title":309,"icon":307,"key":309},[2203],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1787,"icon":69,"key":1787},{"id":2206,"headline":2207,"subtitle":12,"intro_body":2208,"labels":2209,"dtpr_summary":2210},"9a081bd2-6e75-4c33-a863-d8a90c547875","AI-Powered Communications Content Creation","The Canadian Air Transport Security Authority (CATSA) is developing an AI-powered video, photo, and audio tool suite to streamline the creation of engaging communications materials for both internal and external audiences. This system is designed to reduce CATSA's dependency on external service providers and enhance public outreach capabilities.\n\nThe tool will be used exclusively by Government of Canada employees to support the development and editing of communications materials in real-time. This system does not involve the collection or processing of personal information about members of the public.\n\nCurrently in development, this AI system represents CATSA's commitment to modernizing its communications infrastructure while maintaining control over content production. The system will help CATSA produce high-quality, timely communications that keep the public informed about air transport security matters.",[],{"purposes":2211,"decision_types":2213,"accountable":2215},[2212],{"id":706,"title":294,"icon":292,"key":294},[2214],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1787,"icon":69,"key":1787},{"id":2217,"headline":2218,"subtitle":12,"intro_body":2219,"labels":2220,"dtpr_summary":2221},"3aac6d91-b7ca-4ada-aa6c-7a64c7c19b84","AI-Powered Customer Complaint and Claims Processing","The Canadian Air Transport Security Authority (CATSA) is developing an automated system to improve how complaints and claims are processed. This system uses artificial intelligence to automatically sort incoming complaints, understand customer sentiment from written feedback, and provide personalized responses in multiple languages. The tool aims to make the complaints process faster and more consistent while supporting CATSA staff with intelligent search capabilities and business intelligence reporting.\n\nThe system processes customer complaints and claims submissions, analyzes the sentiment and content of customer messages using natural language processing, and generates appropriate responses. This affects customers submitting complaints or claims, as their feedback will be analyzed and responded to by an AI-assisted process. Government employees using the system will rely on AI-generated recommendations for complaint triage and response suggestions.\n\nKey information for transparency: This system is currently in development. It will handle personal information from customers submitting complaints and claims. The system is being developed by a vendor and will primarily be used by CATSA employees to improve their complaint handling processes.",[],{"purposes":2222,"decision_types":2225,"accountable":2229},[2223,2224],{"id":704,"title":309,"icon":307,"key":309},{"id":816,"title":239,"icon":237,"key":239},[2226,2227,2228],{"id":911,"title":912,"icon":913,"key":912},{"id":725,"title":726,"icon":727,"key":726},{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1787,"icon":69,"key":1787},{"id":2231,"headline":2232,"subtitle":12,"intro_body":2233,"labels":2234,"dtpr_summary":2235},"dae2fc94-776e-4e2a-80aa-c8539c830f1c","AI-Powered Equipment Failure Prediction System","The Canadian Air Transport Security Authority (CATSA) is developing an artificial intelligence system to predict when screening equipment may fail before problems occur. This predictive maintenance system analyzes equipment performance data to optimize the availability and reliability of security screening devices at airports across Canada.\n\nThis system is designed to benefit airport operations and security processes rather than directly affecting individual travelers or employees. By predicting equipment failures in advance, the system helps ensure that screening equipment remains available and operational, reducing unexpected downtime and improving the efficiency of security operations.\n\nThis AI system is currently in development and does not involve the processing of personal information about individuals. The system focuses exclusively on equipment performance data to support maintenance planning and resource allocation decisions.",[],{"purposes":2236,"decision_types":2238,"accountable":2242},[2237],{"id":704,"title":309,"icon":307,"key":309},[2239],{"id":2240,"title":2241,"icon":488,"key":2241},"equipment_failure_prediction","Equipment Failure Prediction",{"id":748,"title":1787,"icon":69,"key":1787},{"id":2244,"headline":2245,"subtitle":12,"intro_body":2246,"labels":2247,"dtpr_summary":2248},"42523fc0-71ef-477f-9b07-00f5bfdb4b72","AI-Powered Chatbot for Benefits Administration","AssistMe is an AI-powered chatbot deployed by Employment and Social Development Canada to help government employees quickly access and gather information related to Old Age Security (OAS) benefit administration. The system integrates with the Cúram case management platform to provide real-time answers to employee queries about OAS policies, guidelines, and eligibility criteria, along with relevant links to training materials and knowledge articles.\n\nThis system is currently in production and is used exclusively by Government of Canada employees working in the Benefits Delivery Modernization program. It enhances staff efficiency by serving as an AI-assisted co-pilot that helps front-line workers navigate complex benefit policies and procedures. The system does not collect or process personal information about citizens; it is designed solely to support internal government operations.\n\nEmployees using this system should understand that their interactions with AssistMe are supported by generative AI technology that draws from program knowledge articles, policies, procedures, and Cúram system documentation. The system was developed by external vendors (Deloitte and Accenture) on behalf of the department.",[],{"purposes":2249,"decision_types":2252,"accountable":2254},[2250,2251],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[2253],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":763,"icon":69,"key":763},{"id":2256,"headline":2257,"subtitle":12,"intro_body":2258,"labels":2259,"dtpr_summary":2260},"141dc7c8-296e-4d28-abbc-b62a879afaa2","AI-Powered Real-Time Cyber Threat Detection","Darktrace is an artificial intelligence-powered cybersecurity system deployed by the Canadian Grain Commission to detect, investigate, and respond to cyber threats in real time. The system learns normal patterns of behavior across networks, devices, and users, then identifies anomalies that may indicate malicious activity. This autonomous threat detection capability helps reduce manual intervention and minimize the time needed to identify and contain security incidents.\n\nThe system processes multiple types of data including network traffic, endpoint activity, cloud and SaaS telemetry, email metadata, and identity and access logs. By analyzing these data sources, Darktrace can adapt to evolving cybersecurity risks without relying on predefined rules, making it effective against complex and unpredictable attacks that traditional rule-based security tools struggle to manage.\n\nThis system is currently in production and involves processing personal information. It is primarily used by technical staff within the organization, not by employees or the public in general. The system is vendor-supplied and operated by Darktrace.",[],{"purposes":2261,"decision_types":2263,"accountable":2265},[2262],{"id":737,"title":319,"icon":317,"key":319},[2264],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":2266,"icon":75,"key":2266},"Canadian Grain Commission",{"id":2268,"headline":2269,"subtitle":12,"intro_body":2270,"labels":2271,"dtpr_summary":2272},"3cbae26a-ac4a-4326-bf26-6ad7418a1fc2","AI-Powered Impact Assessment Review Support","The Impact Assessment Decision-Support Agent (IADSA) is an artificial intelligence system designed to assist Government of Canada employees in conducting environmental and social impact assessments. The system helps analysts manage large volumes of technical studies, geospatial data, and public submissions by summarizing complex information, modeling potential impacts, and generating structured recommendations for human review and decision-making.\n\nThis system is currently in production and is used internally by GC employees who review impact assessment applications. IADSA does not process personal information about individuals. The system is designed to improve efficiency and consistency while ensuring that all final decisions remain under human control and accountability. By automating routine analysis tasks, IADSA allows analysts to focus on higher-level judgment and stakeholder engagement.\n\nKey features include intelligent summarization of technical documents, impact modeling, geospatial data analysis, public engagement support, compliance monitoring, and interactive decision dashboards. All recommendations generated by the system are reviewed and approved by human decision-makers before being finalized.",[],{"purposes":2273,"decision_types":2276,"accountable":2278},[2274,2275],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[2277],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":2279,"icon":69,"key":2279},"Impact Assessment Agency of Canada (IAAC)",{"id":2281,"headline":2282,"subtitle":12,"intro_body":2283,"labels":2284,"dtpr_summary":2285},"089604dd-4afc-4ca6-9186-a949945146b3","AI-Powered Chatbot for Government Service Delivery","Pro B is an AI chatbot and agent interface system currently in development by Indigenous Services Canada. This foundational tool enables government employees to interact with advanced AI models through a conversational interface, similar to existing systems like CANChat and Radia. The system incorporates agents, knowledge bases, and integrated tools to help the department implement various use cases while reducing the need for separate Microsoft 365 Copilot licenses.\n\nThe system is designed to process internal service-related data during its initial phases, with careful risk assessment and stakeholder engagement planned before handling more sensitive information. Pro B combines generative AI capabilities including text summarization, document creation, image generation, code execution for data analysis, and speech-to-text functionality to support government employees in their daily work. The system involves processing personal information and is built using open-source technology.\n\nAs the system develops, it may eventually integrate with Microsoft Graph for email, calendar, and SharePoint access, further streamlining government workflows. The development approach emphasizes code reusability across departments to reduce overall implementation costs and promote efficiency across the Government of Canada.",[],{"purposes":2286,"decision_types":2289,"accountable":2291},[2287,2288],{"id":816,"title":239,"icon":237,"key":239},{"id":706,"title":294,"icon":292,"key":294},[2290],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1058,"icon":69,"key":1058},{"id":2293,"headline":2294,"subtitle":12,"intro_body":2295,"labels":2296,"dtpr_summary":2297},"6910c105-7e0a-4f16-8cae-35d5f754444e","AI-Assisted Ministerial Letter Writing System","This retired AI system was developed by Canadian Heritage to explore how generative artificial intelligence could assist in drafting ministerial correspondence. The system was tested to determine whether AI-generated responses could match or exceed the quality of human-written letters while improving efficiency in terms of time, completeness, and error reduction.\n\nThe system was designed for use by Government of Canada employees as an experimental tool integrated into existing workflows with minimal disruption. It processed publicly available information rather than personal data, and operated in accordance with Government of Canada privacy standards and policies.\n\nThis pilot project has concluded, but its findings inform ongoing discussions about implementing generative AI to streamline government communication workflows. Key considerations include maintaining quality standards, ensuring appropriate human oversight, and integrating AI tools effectively into existing ministerial operations.",[],{"purposes":2298,"decision_types":2301,"accountable":2305},[2299,2300],{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[2302],{"id":2303,"title":2304,"icon":488,"key":2304},"text_generation_support","Text Generation Support Decision",{"id":748,"title":1929,"icon":69,"key":1929},{"id":2307,"headline":2308,"subtitle":12,"intro_body":2309,"labels":2310,"dtpr_summary":2311},"fa3be48f-def6-459a-8050-1734a8fd75fa","AI-Assisted Media Monitoring for Government Communications","d@Media is an artificial intelligence system deployed by Employment and Social Development Canada to assist employees in creating internal media monitoring newsletters. The system uses advanced natural language processing and generative AI capabilities to automatically filter and summarize relevant news articles from publicly available online sources. Rather than manually reviewing hundreds of articles, employees provide predefined content requirements in advance, and the AI system intelligently identifies and summarizes the most relevant articles matching those criteria.\n\nThe system is currently in production and is used by Government of Canada employees who are responsible for monitoring media coverage and preparing internal communications. This AI system does not involve the processing of personal information about individuals. Instead, it focuses on analyzing publicly available news content to support internal business intelligence and communications functions.\n\nTransparency is important: employees and the public should understand that this system uses automated filtering and summarization to speed up newsletter production. The AI learns patterns from predefined business requirements to identify relevant content, which means the system's recommendations reflect the priorities and parameters set by human users. Like all AI systems, d@Media has limitations and requires human review to ensure the summaries are accurate and appropriate for publication.",[],{"purposes":2312,"decision_types":2314,"accountable":2316},[2313],{"id":706,"title":294,"icon":292,"key":294},[2315],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":763,"icon":69,"key":763},{"id":2318,"headline":2319,"subtitle":12,"intro_body":2320,"labels":2321,"dtpr_summary":2322},"fa69f355-2e84-4b72-97f8-80e6b5310562","AI-Powered Fatigue and Stress Monitoring System","The Canadian Space Agency is developing algorithms to monitor and detect fatigue and stress in Government of Canada employees using biosensor technology. This system uses machine learning and deep learning techniques to analyze health data and identify patterns of fatigue and stress in real-time.\n\nThe system collects and processes personal health information from biosensors to provide early detection of fatigue states. This affects employees by enabling proactive health monitoring that could improve workplace safety and wellbeing. The system is currently in development and involves processing of personal information, with data sourced from health databases and de-identified datasets.\n\nKey information for transparency: This system processes personal health data collected through biosensors. Primary users are Government of Canada employees. The system is being developed by vendor Myant and is subject to AI notification requirements.",[],{"purposes":2323,"decision_types":2326,"accountable":2328},[2324,2325],{"id":706,"title":294,"icon":292,"key":294},{"id":739,"title":289,"icon":287,"key":289},[2327],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":2329,"icon":69,"key":2329},"Canadian Space Agency (CSA)",{"id":2331,"headline":2332,"subtitle":12,"intro_body":2333,"labels":2334,"dtpr_summary":2335},"707d8f5b-7662-4ed7-8552-6f0656c386a0","AI-Powered Qualitative Research Analysis Tool","Canadian Heritage is exploring artificial intelligence to analyze large volumes of qualitative information gathered through interviews, surveys, and literature reviews. This system is designed to help identify recurring themes and patterns in this data, supporting both plain language processing and deeper analysis. The system is currently in development, with evaluations of multiple AI models including Copilot and ChatGPT underway. This tool is intended for use by Government of Canada employees as part of their research and evaluation activities. Please note: The system is still under development and involves evaluation of how to handle various types of information.",[],{"purposes":2336,"decision_types":2339,"accountable":2341},[2337,2338],{"id":706,"title":294,"icon":292,"key":294},{"id":814,"title":314,"icon":312,"key":314},[2340],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1929,"icon":69,"key":1929},{"id":2343,"headline":2344,"subtitle":12,"intro_body":2345,"labels":2346,"dtpr_summary":2347},"12ca3cb3-74c7-45c9-b85d-a222d2dc996d","Generative AI Platform for Government Operations","Azure OpenAI Service is a Microsoft-managed cloud platform that provides Canadian government employees access to advanced generative AI models, including GPT-4 and GPT-4 Omni families. These models can assist with a variety of tasks such as document analysis, content generation, and information processing to support government operations and decision-making.\n\nThis system is deployed within Microsoft's Azure cloud environment and is managed as a vendor service. Government employees use this platform to leverage cutting-edge AI capabilities for their work. The system processes data and information submitted by users to generate responses and insights based on the AI models' training.\n\nCitizens and the public should be aware that this AI system is used internally by government staff and does not involve the collection of personal information from the general public. However, the system's use and deployment follows government AI governance principles to ensure responsible use of generative AI technology.",[],{"purposes":2348,"decision_types":2351,"accountable":2353},[2349,2350],{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[2352],{"id":1598,"title":1603,"icon":488,"key":1603},{"id":712,"title":1942,"icon":75,"key":1942},{"id":2355,"headline":2356,"subtitle":12,"intro_body":2357,"labels":2358,"dtpr_summary":2359},"aabd2e3f-cdee-40d3-88eb-b32dba7cb9ee","AI-Powered Draft Response Assistant for Public Inquiries","The Public Enquiries Center Digital Assistant is an AI system deployed by Indigenous Services Canada (ISC) to help government employees respond more efficiently to public inquiries. The system assists ISC employees by generating real-time draft replies and providing translation services based on publicly available information, enabling faster and more consistent response times to citizens.\n\nThis system is used internally by Government of Canada employees to support their work in responding to public inquiries. It does not make autonomous decisions but rather provides assistive drafting and translation capabilities to help employees compose better responses. The system works exclusively with publicly available information, which helps minimize privacy risks.\n\nKey transparency information: This system is designed to support (not replace) human employees in their work. All final responses to the public remain the responsibility of government staff who review and authorize any communications sent on behalf of ISC.",[],{"purposes":2360,"decision_types":2363,"accountable":2365},[2361,2362],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[2364],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1058,"icon":75,"key":1058},{"id":2367,"headline":2368,"subtitle":12,"intro_body":2369,"labels":2370,"dtpr_summary":2371},"8582ac77-fcdb-49f1-b24a-9d60ade21641","Neural Machine Translation for Government Communications","Azure AI Translator is a cloud-based neural machine translation service that enables the Canadian Radio-television and Telecommunications Commission (CRTC) to build multilingual solutions for internal applications and communications. The system uses advanced artificial intelligence to translate content across supported languages, supporting CRTC employees in their daily work. This system is developed and operated by Microsoft as a vendor service.\n\nThe translator processes text input to generate translated output, enabling seamless communication across language barriers within government operations. The service leverages neural machine translation technology to provide high-quality translations. As this is a vendor-provided cloud service, data handling and processing occur according to Microsoft's infrastructure and practices.\n\nStatus: This is an active AI system in use within the CRTC. The system does not explicitly involve personal information collection, though translations of documents may incidentally contain personal data depending on content being translated.",[],{"purposes":2372,"decision_types":2376,"accountable":2378},[2373],{"id":2374,"title":2375,"icon":488,"key":2375},"translation","Translation",[2377],{"id":1598,"title":1603,"icon":488,"key":1603},{"id":712,"title":1942,"icon":75,"key":1942},{"id":2380,"headline":2381,"subtitle":12,"intro_body":2382,"labels":2383,"dtpr_summary":2384},"051e642e-f458-48e1-8b6a-83c689732d68","AI-Powered Chatbot for Canadian Public Service","CANChat is a generative AI chatbot pilot project developed by the Government of Canada to provide employees with safe, secure, and open access to general-purpose artificial intelligence tools. The system uses advanced large language models to enable multi-function capabilities that support government operations and employee productivity.\n\nThis pilot is designed for Government of Canada employees who seek to leverage AI technology to assist with their work tasks. The system processes user inputs through generative AI algorithms to provide conversational responses and support various job functions. As an experimental deployment, CANChat represents the government's commitment to exploring responsible AI adoption while maintaining security and protecting sensitive information.\n\nCitizens and stakeholders should be aware that this is a pilot project currently limited to internal government use. The system collects and processes information through user interactions, and the government has implemented safeguards to ensure data security and appropriate use of this emerging technology.",[],{"purposes":2385,"decision_types":2387,"accountable":2389},[2386],{"id":816,"title":239,"icon":237,"key":239},[2388],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":2390,"icon":75,"key":2390},"Government of Canada",{"id":2392,"headline":2393,"subtitle":12,"intro_body":2394,"labels":2395,"dtpr_summary":2396},"fe6777f6-87ee-4853-affc-e45befbb5646","AI-Assisted Labor Market Impact Assessment Processing","The LMIA Summary of Information system is an artificial intelligence tool designed to assist government employees in processing Temporary Foreign Worker Program applications. The system analyzes data from multiple internal sources—including business registration information, employer addresses, wage details, and compliance records—to generate concise reports that highlight key factors relevant to each application. This AI-generated summary helps processing officers quickly identify important information and focus their review on critical application elements.\n\nThis system is currently in production and uses generative AI and natural language processing to analyze and synthesize information from the Labour Market Impact Assessment (LMIA), Integrated Case Management System (ICMS), and Temporary Assignment Management System (TAMS) databases. It is important to note that while this summary assists officers, it does not replace their responsibility to independently review all relevant source information before making decisions on applications. The system does not process personal information about foreign workers themselves.\n\nThe AI system was developed by the Government of Canada and is operated by Employment and Social Development Canada. Processing officers remain accountable for all final decisions, and the system serves as a decision-support tool rather than an automated decision-maker.",[],{"purposes":2397,"decision_types":2402,"accountable":2404},[2398,2399],{"id":704,"title":309,"icon":307,"key":309},{"id":2400,"title":2401,"icon":488,"key":2401},"decision_support_transparency","Decision Support with Human Oversight",[2403],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":763,"icon":75,"key":763},{"id":2406,"headline":2407,"subtitle":12,"intro_body":2408,"labels":2409,"dtpr_summary":2410},"76c7d859-0e6b-4b7b-8f60-2ed48a50cff4","AI-Powered Remote Stress Monitoring System","The Contactless and Remote Physiological Stress Monitoring (CARPS) system is an AI-based tool developed by the Canadian Space Agency that uses advanced machine learning and deep learning techniques to monitor physiological stress levels. The system analyzes facial features and millimeter-wave (mmwave) sensor data to detect and measure stress indicators without requiring physical contact with individuals.\n\nCARPS is currently in development and is designed for use by Government of Canada employees. The system processes health database information and deidentified datasets to train its machine learning models, enabling it to recognize stress patterns and physiological changes. This technology has the potential to support workplace wellness programs and health monitoring initiatives.\n\nAs a system that processes personal health information, CARPS involves the collection and analysis of sensitive biometric data. Users should be aware that the system uses facial recognition and sensor-based physiological measurements, and that appropriate privacy protections and data governance measures are in place to protect personal information throughout the monitoring process.",[],{"purposes":2411,"decision_types":2413,"accountable":2415},[2412],{"id":739,"title":289,"icon":287,"key":289},[2414],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":2329,"icon":69,"key":2329},{"id":2417,"headline":2418,"subtitle":12,"intro_body":2419,"labels":2420,"dtpr_summary":2421},"cbde52a4-c3a7-4bf1-bbfb-005d399176c0","AI-Powered Space Robotics Operator Training","The Personal Assistant Trainer (PAT) is an artificial intelligence system developed by the Canadian Space Agency to support the training of space robotics operators. The system creates a comprehensive learning experience that combines theoretical knowledge with practical, hands-on training for operating the Mobile Servicing System (Canadarm2) and future robotic systems like Canadarm3. PAT is designed to provide familiarization training to Canadian Space Agency personnel, ensuring they are fully equipped to handle current missions on the International Space Station and future lunar missions.\n\nThe system will adapt to individual learners' needs and progress, creating personalized training experiences that enhance both learning effectiveness and operational efficiency. By integrating artificial intelligence into the training process, PAT aims to establish a new standard for adaptive learning within the Canadian Space Agency. This system is currently in development and is intended exclusively for use by Government of Canada employees involved in space operations.\n\nPlease note: This system processes information about trainees' performance and learning progress, which may include personal data related to training outcomes and operational readiness assessments.",[],{"purposes":2422,"decision_types":2425,"accountable":2427},[2423,2424],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[2426],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":2329,"icon":69,"key":2329},{"id":2429,"headline":2430,"subtitle":12,"intro_body":2431,"labels":2432,"dtpr_summary":2433},"43aa197f-509a-4a49-acb9-1299eff3d8b1","AI-Powered Robotic Arm Safety and Planning","The Canadarm3 Autonomy and Safety AI Modules are advanced artificial intelligence systems developed to support the safe and autonomous operation of Canada's next-generation robotic arm in space. These modules enable the robotic arm to plan its movements, define flight operations, and continuously monitor safety conditions during complex tasks on space stations and exploration missions.\n\nThese AI systems affect both Canadian Space Agency employees who operate and oversee the robotic arm, as well as the broader public whose safety depends on reliable space operations. The system uses artificial intelligence to make real-time decisions about trajectory planning and safety thresholds, helping ensure that space operations proceed safely and efficiently.\n\nThis system does not involve the collection of personal information about individuals. It is developed by vendor MDA Inc and its subsidiaries, and is operated under the Canadian Space Agency's oversight. The AI modules represent an important investment in autonomous space technology that supports Canada's contributions to international space exploration.",[],{"purposes":2434,"decision_types":2437,"accountable":2440},[2435,2436],{"id":704,"title":309,"icon":307,"key":309},{"id":737,"title":319,"icon":317,"key":319},[2438,2439],{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":2329,"icon":69,"key":2329},{"id":2442,"headline":2443,"subtitle":12,"intro_body":2444,"labels":2445,"dtpr_summary":2446},"518255cb-c22e-48fb-b533-2c24e6a7d091","Predicting Cargo Ship Arrivals with Machine Learning","Transport Canada's Cargo Vessel Forecasting System is a machine learning pilot project developed in collaboration with the Port of Vancouver in 2024. This system analyzes historical cargo vessel registry data to predict when ships will arrive at port, helping port operators and government employees better plan and coordinate port operations.\n\nThe system uses aggregate data from the Port of Vancouver's vessel registry—no personal information about individuals is collected or processed. By improving visibility into vessel arrival patterns, the forecasting system supports more efficient operational planning and resource allocation. This is a retired pilot project that demonstrated the potential of machine learning for maritime logistics optimization.\n\nKey facts: This system does not involve personal information collection. Primary users are Government of Canada employees. The project is retired but demonstrated valuable insights for future maritime planning initiatives.",[],{"purposes":2447,"decision_types":2449,"accountable":2451},[2448],{"id":704,"title":309,"icon":307,"key":309},[2450],{"id":725,"title":726,"icon":727,"key":726},{"id":712,"title":965,"icon":75,"key":965},{"id":2453,"headline":2454,"subtitle":12,"intro_body":2455,"labels":2456,"dtpr_summary":2457},"a68951c5-1eab-4af5-bfb5-8dd24b661cbc","Automated Email Classification and Management System","Environment and Climate Change Canada has developed a Correspondence Monitoring Tool to automatically manage incoming emails to general delivery mailboxes. This AI system reads incoming emails, categorizes them based on content, identifies unwanted messages like spam and phishing attempts, and provides dashboard reporting to mailbox administrators. The system is currently in development as a proof of concept to explore ways to reduce manual email management workload while ensuring important business communications are properly handled.\n\nThe tool processes emails by applying automated classification and categorization logic to tag messages with relevant information and determine their business value. Undesirable emails are archived and reported, while legitimate business correspondence is preserved for review. This helps mailbox owners maintain visibility over the volume and types of communications received over time.\n\nThis system processes personal information from email content and sender information, and is primarily used by Government of Canada employees managing general delivery mailboxes. Users have rights to access, contest, and understand how the system makes categorization decisions about their emails.",[],{"purposes":2458,"decision_types":2461,"accountable":2464},[2459,2460],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[2462,2463],{"id":911,"title":912,"icon":913,"key":912},{"id":709,"title":710,"icon":488,"key":710},{"id":712,"title":1254,"icon":75,"key":1254},{"id":2466,"headline":2467,"subtitle":12,"intro_body":2468,"labels":2469,"dtpr_summary":2470},"91c85373-6d8f-439b-8d0a-8b88c4c1b621","AI-Powered Spaceflight Medical Decision Support","The Connected Care Medical Module is a clinical decision support system developed for the Canadian Space Agency to assist with medical decisions during spaceflight operations. This AI system uses speech-to-text technology, machine learning, and generative AI to analyze health data and provide recommendations to medical professionals in space environments. The system is currently in development and will be used primarily by Government of Canada employees.\n\nThis system processes personal health information from deidentified health databases and datasets. It uses advanced AI processing techniques including large language models and machine learning algorithms to analyze medical data and generate clinical insights. The system is designed to support human medical decision-making rather than replace it, with the goal of improving care quality in the unique environment of spaceflight.\n\nThe system involves the processing of personal health information and has been flagged for AI notification requirements. It is being developed in partnership with external vendors including Lunar Medical Inc, Paratus Medical, and Baune. The system has been assigned the identification number 2526-CSA-ASC-005 in the Government of Canada AI registry.",[],{"purposes":2471,"decision_types":2473,"accountable":2475},[2472],{"id":739,"title":289,"icon":287,"key":289},[2474],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":2329,"icon":69,"key":2329},{"id":2477,"headline":2478,"subtitle":12,"intro_body":2479,"labels":2480,"dtpr_summary":2481},"71104d2c-247f-4f88-a235-2db03ca7523e","AI-Powered Agricultural Disease Risk Assessment","The Crop Disease Risk Assessment Tool is an AI-powered web application developed by the Canadian Space Agency to help identify and manage crop disease risks across the Canadian Prairies. This Phase 1 system analyzes agricultural data to predict disease outbreaks and inform farmers and agricultural professionals about potential threats to crop health.\n\nThe system is designed for use by Government of Canada employees who work in agricultural extension, policy, and research. By providing early warnings of disease risk, the tool helps support decision-making in crop management and disease prevention strategies. The system does not involve the collection of personal information about individual farmers or consumers.\n\nThis transparency page provides details about how the system works, what data it uses, and how it makes decisions. We are committed to ensuring this agricultural tool is developed and deployed responsibly, with appropriate oversight and safeguards in place.",[],{"purposes":2482,"decision_types":2485,"accountable":2487},[2483,2484],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[2486],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":2329,"icon":69,"key":2329},{"id":2489,"headline":2490,"subtitle":12,"intro_body":2491,"labels":2492,"dtpr_summary":2493},"12f1fb82-9e85-4462-b3eb-8483e3f24e50","AI-Powered Maritime Risk and Vessel Management","This AI system has been developed to improve maritime risk management and support vessel operations for the Canadian Space Agency. The system uses artificial intelligence tools to analyze maritime conditions and assist in managing vessel-related activities. Government employees use this system as part of their regular operations.\n\nThe system is currently in Phase 1 of development and has been developed by Global Spatial Technology Solutions Inc. The system processes data to support decision-making related to maritime safety and vessel management. This system does not involve the processing of personal information about individuals.\n\nThis transparency page provides information about how the system collects, processes, and uses data to support maritime operations and risk management activities.",[],{"purposes":2494,"decision_types":2496,"accountable":2498},[2495],{"id":737,"title":319,"icon":317,"key":319},[2497],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":2329,"icon":69,"key":2329},{"id":2500,"headline":2501,"subtitle":12,"intro_body":2502,"labels":2503,"dtpr_summary":2504},"6fbe94c0-3f87-4c53-a119-1ac5cc6fccea","AI-Powered Task Assignment and Optimization","The Canadian Space Agency has developed an Autonomous Tasking Optimization system that uses machine learning to automate and optimize task assignment processes. This Phase 1 system is designed to improve operational efficiency by intelligently allocating tasks based on various factors and constraints. The system is currently used by Government of Canada employees and is being developed in partnership with SkyWatch Space Applications Inc.\n\nThis system affects how tasks are assigned and prioritized within the organization, potentially influencing employee workloads and operational workflows. The system does not involve the processing of personal information as part of its core functionality. To understand how this AI system makes decisions about task assignment and what data it uses, please review the transparency information provided below.",[],{"purposes":2505,"decision_types":2507,"accountable":2509},[2506],{"id":704,"title":309,"icon":307,"key":309},[2508],{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":712,"title":2329,"icon":75,"key":2329},{"id":2511,"headline":2512,"subtitle":12,"intro_body":2513,"labels":2514,"dtpr_summary":2515},"59d674da-97e0-4937-934a-6147e2ceb933","AI-Powered Satellite Monitoring of Shallow Waters","This system uses artificial intelligence and satellite imagery to automatically map and monitor shoals—areas of shallow water that pose navigation hazards. The system is designed to provide timely information about changing water depths and underwater formations that could affect maritime safety and transportation.\n\nThe system processes satellite data to identify and track shoals in real-time, helping maritime authorities and navigation professionals make informed decisions about route planning and safety protocols. This is Phase 1 of the project, focusing on developing and testing the core mapping and monitoring capabilities.\n\nKey information for the public: This system is currently in development phase. It does not involve personal information about individuals. The system is used by Government of Canada employees within the Canadian Space Agency.",[],{"purposes":2516,"decision_types":2518,"accountable":2520},[2517],{"id":737,"title":319,"icon":317,"key":319},[2519],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":2329,"icon":69,"key":2329},{"id":2522,"headline":2523,"subtitle":12,"intro_body":2524,"labels":2525,"dtpr_summary":2526},"d5fc9319-ab3a-43b5-ae4d-e964c2cc5af9","AI-Powered XML Code Generation for Eligibility Systems","The Curam XML Assistant is an artificial intelligence tool currently in development by Employment and Social Development Canada, in partnership with Accenture. This system helps developers write CER (Curam Eligibility Rules) XML code by analyzing eligibility requirements documents provided by business analysts. The assistant uses natural language understanding to interpret complex eligibility criteria and generates corresponding XML code, reducing manual coding effort and potential errors.\n\nThe system also provides a chat interface that allows developers to ask questions about the Curam structure and codebase, serving as an intelligent reference tool to improve code quality and development efficiency. This system is designed for internal developer use only and does not process personal information about members of the public.\n\n**Status:** In development | **Primary Users:** Internal developers only | **Personal Information:** No",[],{"purposes":2527,"decision_types":2530,"accountable":2532},[2528,2529],{"id":816,"title":239,"icon":237,"key":239},{"id":814,"title":314,"icon":312,"key":314},[2531],{"id":1587,"title":1588,"icon":488,"key":1588},{"id":748,"title":763,"icon":69,"key":763},{"id":2534,"headline":2535,"subtitle":12,"intro_body":2536,"labels":2537,"dtpr_summary":2538},"1743cb10-5030-46c6-8f3c-48d5fc84d757","AI-Powered Wildfire Risk Forecasting","This system uses satellite imagery and machine learning to predict wildfire risk across Canada. Developed by the Canada Research and Development Corporation in partnership with the Canadian Space Agency, it analyzes satellite data to identify areas at elevated fire risk before incidents occur.\n\nThe system is used by Government of Canada employees to support wildfire management and emergency preparedness planning. By providing early warnings of potential fire hotspots, the system helps protect communities and natural resources from wildfire threats.\n\nThis system does not process personal information. It operates in Phase 1 of development and continues to be refined to improve prediction accuracy and operational effectiveness.",[],{"purposes":2539,"decision_types":2542,"accountable":2544},[2540,2541],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[2543],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":2329,"icon":75,"key":2329},{"id":2546,"headline":2547,"subtitle":12,"intro_body":2548,"labels":2549,"dtpr_summary":2550},"4f7a032b-293a-49c2-b7d3-b702d6306b1d","AI Assistant for Government Workplace Productivity","The Correctional Service of Canada (CSC) is testing Microsoft 365 Copilot, an AI-powered assistant designed to help government employees work more efficiently. Currently in the development stage, this system is being rolled out to a limited group of 50 users as CSC prepares the necessary cybersecurity and IT security guidelines for safe, secure, and responsible implementation. The system does not retain conversation context between different sessions, which helps protect privacy by preventing information from being carried over from one interaction to the next. As an AI tool developed by Microsoft, Copilot will interact with government employees and their work documents. CSC is carefully planning this deployment to ensure the tool meets security standards and protects sensitive government information.",[],{"purposes":2551,"decision_types":2553,"accountable":2555},[2552],{"id":816,"title":239,"icon":237,"key":239},[2554],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":2556,"icon":69,"key":2556},"Correctional Service of Canada (CSC)",{"id":2558,"headline":2559,"subtitle":12,"intro_body":2560,"labels":2561,"dtpr_summary":2562},"84db77b3-8f5e-43a4-bd62-cfe40a42f9d8","AI-Powered Fish Sound Detection for Aquatic Monitoring","FishSoundFinder is an open-source software tool developed by Fisheries and Oceans Canada that uses artificial intelligence to automatically detect fish sounds in underwater acoustic recordings. The system employs Random Forest and Convolutional Neural Network algorithms trained on manually identified fish sounds to identify fish presence in aquatic environments without requiring physical disturbance to the ecosystem.\n\nThis system is currently in development and is designed for use by Government of Canada employees working in fisheries research and monitoring. The AI-based approach has been shown to outperform traditional detection methods and has been successfully deployed in British Columbia and other regions including Florida. Because the system does not involve personal information about individuals, it focuses solely on detecting and identifying fish acoustic signals in environmental data.\n\nThe tool represents a significant advancement in non-invasive fish population monitoring, allowing scientists to estimate fish presence and activity patterns from passive acoustic recordings rather than through traditional methods that may stress or harm aquatic organisms.",[],{"purposes":2563,"decision_types":2566,"accountable":2568},[2564,2565],{"id":814,"title":314,"icon":312,"key":314},{"id":1214,"title":264,"icon":262,"key":264},[2567],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":2050,"icon":75,"key":2050},{"id":2570,"headline":2571,"subtitle":12,"intro_body":2572,"labels":2573,"dtpr_summary":2574},"21901d00-5a7b-42db-86b6-80a7524ed419","AI-Powered Commissioner's Directives Search Assistant","CorrCHAT is a generative AI chatbot developed by the Correctional Service of Canada to help employees access Commissioner's directives in a more intuitive format. Instead of manually searching through the department's intranet website, employees can now use conversational queries to find relevant policy information quickly and efficiently.\n\nThis system is currently in development and is being tested with government employees. The chatbot uses generative AI technology to understand natural language questions and search through departmental documents to provide relevant responses. The system does not process personal information and focuses solely on helping staff navigate internal policy documentation.\n\nCorrCHAT is built on best practices from the National Research Council's AI Zone and represents the department's commitment to modernizing how employees access critical operational guidance. All interactions with the system are designed to improve workplace efficiency while maintaining the integrity of official policy documents.",[],{"purposes":2575,"decision_types":2579,"accountable":2581},[2576,2577,2578],{"id":874,"title":234,"icon":231,"key":234},{"id":816,"title":239,"icon":237,"key":239},{"id":706,"title":294,"icon":292,"key":294},[2580],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":2556,"icon":75,"key":2556},{"id":2583,"headline":2584,"subtitle":12,"intro_body":2585,"labels":2586,"dtpr_summary":2587},"7617964f-6d40-423b-bb39-24983018b178","AI-Powered Legal Research Assistant","Westlaw Edge with CoCounsel is a pilot project developed by the Department of Justice Canada in partnership with Thomson Reuters. This AI-powered legal assistant integrates generative AI technology with Westlaw's comprehensive legal research database to help Government of Canada employees expedite legal research and analysis tasks.\n\nThe system is currently in development and is being evaluated for its effectiveness in supporting legal work. CoCounsel processes existing proprietary legal publications and datasets to provide research assistance, but does not involve the collection or processing of personal information about individuals. The system is designed to support Justice Canada employees who use the Westlaw Canada legal research subscription service.\n\nThis transparency page provides information about how the AI system works, what data it uses, and the safeguards in place to ensure responsible use of this technology in Canada's justice system.",[],{"purposes":2588,"decision_types":2592,"accountable":2594},[2589,2590,2591],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[2593],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":2595,"icon":75,"key":2595},"Department of Justice Canada",{"id":2597,"headline":2598,"subtitle":12,"intro_body":2599,"labels":2600,"dtpr_summary":2601},"f2e7670b-8012-405a-b32b-371ee71112ae","AI-Powered Legal Research and Document Analysis","CoCounsel Core is a generative AI system developed by Thomson Reuters to assist Government of Canada legal professionals with complex legal research and document review tasks. Currently in development as a pilot project, this system adds advanced capabilities including document drafting, summarization, and comparison to Canada's Westlaw legal research subscription service. The system does not involve the collection or processing of personal information about individuals. Legal professionals using CoCounsel Core should understand that it is an AI-assisted tool designed to enhance their work, and human legal judgment remains essential for all legal decisions and analysis.",[],{"purposes":2602,"decision_types":2607,"accountable":2609},[2603,2604,2605,2606],{"id":874,"title":234,"icon":231,"key":234},{"id":814,"title":314,"icon":312,"key":314},{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[2608],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":2595,"icon":75,"key":2595},{"id":2611,"headline":2612,"subtitle":12,"intro_body":2613,"labels":2614,"dtpr_summary":2615},"e89729bf-6c70-4383-bcd0-4581cb3e0ead","AI-Powered Digital Evidence Analysis for Justice","Nuix Neo is an artificial intelligence system being piloted by the Department of Justice Canada to modernize how digital evidence is processed, analyzed, and managed in criminal investigations and legal proceedings. The system uses semantic search and advanced analytics to help Justice Canada employees streamline e-discovery workflows, automate evidence processing, and access a centralized platform for managing digital investigations. This system does not process personal information. The pilot project is currently in development as Justice Canada evaluates how Nuix Neo can improve efficiency and effectiveness in supporting litigation and digital forensics operations.",[],{"purposes":2616,"decision_types":2620,"accountable":2622},[2617],{"id":2618,"title":2619,"icon":488,"key":2619},"semantic_search","Digital Evidence Analysis",[2621],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":2595,"icon":75,"key":2595},{"id":2624,"headline":2625,"subtitle":12,"intro_body":2626,"labels":2627,"dtpr_summary":2628},"b18f4f78-c5c7-459b-acdc-480787017fd5","AI Assistant for Cloud Resource Management","Copilot in Azure is an artificial intelligence assistant developed by Microsoft to help Information Technology administrators at the Financial Consumer Agency of Canada (FCAC) manage cloud resources, automate routine tasks, and optimize system performance. The system uses natural language processing and AI-driven insights to simplify cloud development, security, and operations across Azure services.\n\nThis system is currently in production and is used by Government of Canada (GC) employees who manage FCAC's cloud infrastructure. The system does not involve the collection or processing of personal information about members of the public. Instead, it focuses on helping IT professionals work more efficiently with cloud computing resources and services.\n\nTransparency is important to us. This page provides information about how Copilot in Azure operates, the types of decisions it supports, and the safeguards in place to ensure responsible AI use within FCAC's technology operations.",[],{"purposes":2629,"decision_types":2631,"accountable":2633},[2630],{"id":816,"title":239,"icon":237,"key":239},[2632],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1763,"icon":69,"key":1763},{"id":2635,"headline":2636,"subtitle":12,"intro_body":2637,"labels":2638,"dtpr_summary":2639},"581cef2a-f034-4cb7-a8d1-3970b3111e10","AI-Powered Legal Research and Drafting Tool","Lexis+ AI is a pilot project currently in development by the Department of Justice Canada, in partnership with LexisNexis. This AI-powered legal research platform enhances the Lexis+ subscription service by adding an intelligent research assistant and advanced capabilities for legal document drafting, summarization, and analysis. The system builds on a foundation of existing proprietary legal publications and datasets, including case law and legislation.\n\nThe system is designed for use by Government of Canada employees who need advanced legal research and document preparation tools. Lexis+ AI uses generative AI technology to provide personalized assistance in analyzing legal content, drafting documents, and summarizing complex legal materials. This pilot phase allows the Department of Justice to evaluate the system's effectiveness and ensure it meets the needs of legal professionals across government.\n\nImportant to note: This system does not involve the processing of personal information about citizens or the public. It operates exclusively on legal content and research materials to support government legal work. All users are GC employees with appropriate authorization to access legal research tools.",[],{"purposes":2640,"decision_types":2644,"accountable":2646},[2641,2642,2643],{"id":814,"title":314,"icon":312,"key":314},{"id":816,"title":239,"icon":237,"key":239},{"id":706,"title":294,"icon":292,"key":294},[2645],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":2595,"icon":69,"key":2595},{"id":2648,"headline":2649,"subtitle":12,"intro_body":2650,"labels":2651,"dtpr_summary":2652},"bbaad8d2-7226-4d06-8a59-89346fbad468","AI-Powered Legal Document Translation System","JUSTranslate is an automated translation service operated by the Government of Canada's Department of Justice. The system uses cloud-based artificial intelligence technology to translate documents and information for use by Government of Canada employees. JUSTranslate is approved for handling sensitive information up to and including Protected B level, which typically covers information subject to solicitor-client privilege and other legally protected communications.\n\nThis system generates translations through generative AI models that process user-uploaded documents. The service is currently in production and handles personal information as part of its operations. Employees using JUSTranslate should be aware that their documents are processed by automated systems and may contain personal or sensitive information that requires careful handling in accordance with federal privacy and security regulations.\n\nThe Government of Canada has notified users about the use of artificial intelligence in this translation service. All translations are processed through cloud-based infrastructure and users should understand that their uploaded documents are subject to the system's data handling practices and retention policies.",[],{"purposes":2653,"decision_types":2655,"accountable":2657},[2654],{"id":706,"title":294,"icon":292,"key":294},[2656],{"id":709,"title":710,"icon":488,"key":710},{"id":712,"title":2595,"icon":75,"key":2595},{"id":2659,"headline":2660,"subtitle":12,"intro_body":2661,"labels":2662,"dtpr_summary":2663},"a9ce22b1-f731-4781-8d53-5919362ffbeb","AI Assistant for Justice Canada Legal Professionals","Otto is an AI platform currently in development for the Department of Justice Canada, designed to streamline and enhance the efficiency of legal professionals and government officials. The system leverages generative AI and automation to assist users with critical tasks including answering questions, summarizing and translating documents, and searching legislation. Otto operates within a secure environment specifically designed to handle sensitive legal data. The system is intended for use by Government of Canada employees and will provide accurate, professional, and helpful responses while directing users to relevant sources for verification. Please note that this system processes personal information and is currently in development. Users should be aware that Otto is designed to empower Justice Canada employees to work more effectively and make informed decisions, while maintaining the security and confidentiality of sensitive government data.",[],{"purposes":2664,"decision_types":2668,"accountable":2670},[2665,2666,2667],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[2669],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":2595,"icon":69,"key":2595},{"id":2672,"headline":2673,"subtitle":12,"intro_body":2674,"labels":2675,"dtpr_summary":2676},"8d27aeaf-31d3-49ad-bf0a-a51c8f3febd4","AI-Powered Salmon Age Analysis from Scale Images","The PSSIScaleAging system is an artificial intelligence tool developed by Fisheries and Oceans Canada to automate and improve salmon age analysis. The system uses advanced computer vision technology, specifically Convolutional Neural Networks (CNNs), to analyze scale images and accurately determine the age of salmon specimens. This system is currently in development and does not involve the collection or processing of personal information.\n\nThe system addresses a critical operational challenge: DFO's Sclerochronology Lab currently performs approximately 80,000 salmon scale aging assessments annually across British Columbia and the Yukon. By automating this process, the system allows lab technicians to work more efficiently while maintaining or improving accuracy. The technology reduces reliance on manual expertise and experience, enabling the lab to process more assessments with existing resources.\n\nThe system is designed for use by Government of Canada employees working in fish age analysis. As this system is still in development, DFO is committed to responsible AI deployment and public transparency regarding how this technology will be implemented and used in fish management services.",[],{"purposes":2677,"decision_types":2679,"accountable":2681},[2678],{"id":704,"title":309,"icon":307,"key":309},[2680],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":2050,"icon":69,"key":2050},{"id":2683,"headline":2684,"subtitle":12,"intro_body":2685,"labels":2686,"dtpr_summary":2687},"e8c1c550-562a-4cea-80c2-eba31d1e4d45","AI-Powered Document Organization System","SmartTagging is an artificial intelligence system being developed to automatically organize and categorize millions of Government of Canada documents stored in HRSB's information holdings. The system uses generative AI and natural language processing to identify and assign metadata tags that help organize up to 20 million documents, making them easier to find and manage.\n\nThis system is currently in development and is used by GC employees who need to organize and access government documents. The system does not process personal information. The AI is being developed with the assistance of a Microsoft vendor and is deployed through either EVA Domain or MS Purview platforms. As this is an AI system, we are providing transparency about how it works and what it does.",[],{"purposes":2688,"decision_types":2691,"accountable":2693},[2689,2690],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[2692],{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":763,"icon":69,"key":763},{"id":2695,"headline":2696,"subtitle":12,"intro_body":2697,"labels":2698,"dtpr_summary":2699},"11291d34-39ba-4aa4-9e4e-bd0465d496e6","AI-Powered Employment Insurance Research Tool","The EI Research Companion is an artificial intelligence tool currently in development that helps Government of Canada employees research Employment Insurance legislation and regulations. The system uses natural language processing to allow business analysts to ask questions about EI Acts and Regulations in plain language, receiving fast, citation-backed responses to support the creation of requirements and technical specifications.\n\nThis tool is designed to improve research efficiency for internal government users by providing accurate, source-verified information from official EI legislation. The system does not process personal information and is intended solely for use by GC employees involved in EI policy analysis and system development.\n\nKey transparency information: This system is currently in development status, is being developed by Accenture as a vendor, and processes only legislative and regulatory documents—not personal data. The tool uses advanced natural language processing and information retrieval capabilities to deliver reliable, citation-backed responses.",[],{"purposes":2700,"decision_types":2703,"accountable":2705},[2701,2702],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[2704],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":763,"icon":75,"key":763},{"id":2707,"headline":2708,"subtitle":12,"intro_body":2709,"labels":2710,"dtpr_summary":2711},"4bf01350-ee01-4117-8249-711a3289f51f","AI-Powered Document Chat System for Government Employees","The ESDC Virtual Assistant (EVA) Domain Assistant is a generative AI tool currently in development that enables Government of Canada employees to interact with a curated library of documents and selected external websites through natural conversation. Users can ask questions and receive information by chatting with documents that have been uploaded and organized by the EVA team, making it easier to find and understand relevant information without manually searching through multiple sources.\n\nThis system processes user-provided input and conversations to deliver personalized responses based on the documents and websites in its knowledge base. As this tool handles personal information and is still in development, the Government of Canada is committed to transparency about how it works, what data it uses, and how user privacy is protected. This page outlines key information about the system's capabilities, data handling practices, and the rights available to users.",[],{"purposes":2712,"decision_types":2715,"accountable":2717},[2713,2714],{"id":816,"title":239,"icon":237,"key":239},{"id":706,"title":294,"icon":292,"key":294},[2716],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":763,"icon":75,"key":763},{"id":2719,"headline":2720,"subtitle":12,"intro_body":2721,"labels":2722,"dtpr_summary":2723},"768bda8f-93a2-4d4f-8d7a-63e4e0f52d1f","AI Chatbot for Labour Code Information","This AI-powered chatbot system provides real-time responses to public inquiries about the Canada Labour Code and related regulations. The system uses generative AI and natural language processing to navigate complex legal and regulatory documents, delivering precise and accurate information to clients seeking guidance on labour standards and employment matters.\n\nThe chatbot is designed to support Government of Canada employees in the Labour Program, helping them respond more efficiently to public enquiries. The system processes information from the Labour Program knowledge management system, the Labour Program website, and official Labour Code legal and regulatory documents. Currently in development, this system will handle client interactions while maintaining accuracy in complex regulatory guidance.\n\nThis system involves processing of personal information and is subject to AI transparency and accountability requirements. Users should be aware that their enquiries may be processed through AI systems, and they have the right to understand how the system works and to seek human assistance when needed.",[],{"purposes":2724,"decision_types":2727,"accountable":2730},[2725,2726],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[2728,2729],{"id":744,"title":745,"icon":746,"key":745},{"id":1528,"title":1529,"icon":488,"key":1529},{"id":748,"title":763,"icon":69,"key":763},{"id":2732,"headline":2733,"subtitle":12,"intro_body":2734,"labels":2735,"dtpr_summary":2736},"b25792f6-3080-4520-a5ff-a9dbd88df849","Automated Ocean Data Quality Assessment","Fisheries and Oceans Canada has developed an AI-powered tool to streamline the quality control process for oceanographic data collected through Conductivity, Temperature, and Depth (CTD) sensors. Oceanographers have historically spent considerable time manually reviewing CTD data profiles to determine whether measurements should be retained or deleted based on data quality. This repetitive task diverts specialized expertise away from more valuable scientific analysis.\n\nThe AI-Assisted CTD Quality Control Tool uses advanced machine learning techniques to automatically flag problematic data for deletion or mark clean data for preservation. The system analyzes historical oceanographic measurements from the DFO Pacific Region to understand patterns of good and poor quality data, then applies this knowledge to new measurements. Government oceanographers will review and validate the AI's recommendations before making final quality control decisions.\n\nThis system is currently in development and does not involve the processing of personal information. It is designed exclusively for use by Government of Canada oceanography professionals to enhance productivity and maintain the integrity of scientific data collection.",[],{"purposes":2737,"decision_types":2739,"accountable":2741},[2738],{"id":704,"title":309,"icon":307,"key":309},[2740],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":2050,"icon":75,"key":2050},{"id":2743,"headline":2744,"subtitle":12,"intro_body":2745,"labels":2746,"dtpr_summary":2747},"67bf421d-a519-4049-b2fe-f69a04cb2ac3","Internal AI Agents for Document Processing","The Financial Consumer Agency of Canada has developed AI Agents using Microsoft Copilot Studio to assist Government of Canada employees with text-based tasks. These internal tools are currently in development and are designed to help streamline document management and reduce manual administrative work.\n\nThese AI Agents perform tasks such as analyzing text, consolidating large volumes of documentation, and automatically generating metadata tags for publications, speeches, and other materials. By automating these manual processes, the system aims to improve employee productivity and reduce the time spent on routine documentation tasks.\n\nThis system does not involve the processing of personal information about members of the public. It is exclusively for Government of Canada employee use within the Financial Consumer Agency of Canada. Users should be aware that the system is still under development and may be subject to changes as the Agency refines and improves its functionality.",[],{"purposes":2748,"decision_types":2752,"accountable":2755},[2749,2750,2751],{"id":814,"title":314,"icon":312,"key":314},{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[2753,2754],{"id":725,"title":726,"icon":727,"key":726},{"id":801,"title":802,"icon":488,"key":802},{"id":748,"title":1763,"icon":69,"key":1763},{"id":2757,"headline":2758,"subtitle":12,"intro_body":2759,"labels":2760,"dtpr_summary":2761},"a3fd1a5c-189c-42c2-aeaa-8e20fbec0e2f","AI-Powered Labour Market Assessment Review","Employment and Social Development Canada operates an AI-assisted system to support the review of Labour Market Impact Assessments (LMIA) for the Temporary Foreign Worker Program (TFWP). This system uses generative AI and natural language processing to automate data analysis and help identify potential fraudulent applications, enhancing the efficiency of government officers who evaluate these assessments.\n\nThe system processes information from multiple government databases including the LMIA, Integrated Case Management System (ICMS), and Temporary Foreign Worker Management System (TAMS) to generate analytical reports. These reports help TFWP program officers make more informed decisions during the assessment review process.\n\nThis system does not process personal information about workers or applicants. It operates in production and is used by Government of Canada employees involved in TFWP administration. The system has been designated as an AI system under Canada's Algorithmic Impact Assessment requirements.",[],{"purposes":2762,"decision_types":2764,"accountable":2766},[2763],{"id":704,"title":309,"icon":307,"key":309},[2765],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":763,"icon":69,"key":763},{"id":2768,"headline":2769,"subtitle":12,"intro_body":2770,"labels":2771,"dtpr_summary":2772},"f0a86384-0a2c-4132-b8ec-76ef8106ddcc","AI-Powered Employer File Risk Assessment","The Employee File and Job Posting Triage System is a rule-based artificial intelligence tool designed to help manage the growing backlog of new employer files at Employment and Social Development Canada. The system automatically categorizes employer files based on their risk level, separating those that can proceed without manual review from those requiring detailed assessment by a program officer.\n\nThis system affects employers who submit new files to Job Bank by determining how quickly their applications will be processed. Files assessed as low-risk proceed directly to approval, while high-risk files are flagged for manual review by qualified staff. The automation helps reduce processing times while ensuring that potentially problematic applications receive appropriate human oversight.\n\n**Current Status:** In production | **Primary Users:** Government of Canada employees | **Personal Information:** No personal information is processed by this system. The system operates on employer account and business information only.",[],{"purposes":2773,"decision_types":2775,"accountable":2777},[2774],{"id":704,"title":309,"icon":307,"key":309},[2776],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":763,"icon":69,"key":763},{"id":2779,"headline":2780,"subtitle":12,"intro_body":2781,"labels":2782,"dtpr_summary":2783},"62b59f13-14eb-40ac-9b4a-ce1e95c2408e","AI-Powered Identity Document Authentication","The Electronic SIN Automation System uses computer vision and optical character recognition technology to help validate the authenticity of identity documents submitted by clients online. When Canadian citizens and residents apply for services through Employment and Social Development Canada, they can now upload scans or photos of their identity documents, which the system automatically reads, compares, and extracts data from to verify their identity.\n\nThis system affects anyone applying for services from Employment and Social Development Canada that requires identity verification. The AI technology helps speed up processing while maintaining security checks on the documents submitted. The system is currently in production and is used by Government of Canada employees who manage these applications. Please note: This system processes personal information, including identity document data, and uses advanced computer vision technology to make authentication decisions.",[],{"purposes":2784,"decision_types":2786,"accountable":2788},[2785],{"id":1385,"title":279,"icon":277,"key":279},[2787],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":763,"icon":69,"key":763},{"id":2790,"headline":2791,"subtitle":12,"intro_body":2792,"labels":2793,"dtpr_summary":2794},"bcded9b5-bdb4-43ca-986f-24bef258ca06","AI System for Detecting Disinformation and Foreign Interference","The Disinformation Dashboard is an artificial intelligence system developed by Global Affairs Canada to identify and analyze potential disinformation narratives and patterns of foreign interference in media sources. Using IBM Watson Natural Language Understanding technology, the system automatically extracts and analyzes information about people, organizations, and locations from traditional media, social media, and licensed content aggregators. The system scores articles for relevance to Canadian foreign policy and evaluates reputational risks.\n\nThis system is designed to support Government of Canada employees in their analysis of global media trends and potential threats to Canada's interests. The system processes large volumes of unstructured text data from various sources to identify key entities and detect coordinated disinformation patterns. Because the system analyzes publicly available information that may contain personal information about individuals and organizations, users and the public should understand how this data is processed and what safeguards are in place.\n\nStatus: This system is currently retired and no longer in active use. The system involved processing of personal information extracted from media sources. For questions about how this system operated or archived data, please contact Global Affairs Canada.",[],{"purposes":2795,"decision_types":2798,"accountable":2800},[2796,2797],{"id":706,"title":294,"icon":292,"key":294},{"id":758,"title":274,"icon":272,"key":274},[2799],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1725,"icon":69,"key":1725},{"id":2802,"headline":2803,"subtitle":12,"intro_body":2804,"labels":2805,"dtpr_summary":2806},"b6503fda-9c1f-4eb4-ac3e-3adc53e28063","AI-Powered Financial Complaints Analysis System","The Financial Consumer Agency of Canada operates an artificial intelligence system using Azure Machine Learning and Large Language Models to analyze consumer complaints data and develop a Market Conduct Risk Model. This system is currently in production and is used by Government of Canada employees to support risk-based supervision strategies in the financial sector.\n\nThe system processes complaints data through advanced language models to identify patterns, assess risks, and inform regulatory decision-making. This AI-assisted analysis helps the Agency prioritize supervisory activities and identify emerging market conduct issues that may affect consumers.\n\nThis system does not process personal information about consumers. The analysis focuses on complaint patterns and market conduct indicators to support the Agency's regulatory oversight functions. As a government AI system, it operates under Canadian federal privacy and AI governance frameworks.",[],{"purposes":2807,"decision_types":2809,"accountable":2811},[2808],{"id":704,"title":309,"icon":307,"key":309},[2810],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1763,"icon":69,"key":1763},{"id":2813,"headline":2814,"subtitle":12,"intro_body":2815,"labels":2816,"dtpr_summary":2817},"0203e22d-50a6-4bf0-beb0-a806289b1143","AI-Powered Document and Email Assistant","M365 Copilot is an artificial intelligence assistant developed by Microsoft that helps Government of Canada employees draft and modify emails and documents, summarize content, and answer questions based on information from internal organizational systems. The system is currently in production as part of a Government of Canada pilot program, allowing the Digital Services Branch of Environment and Climate Change Canada to assess its value and scalability before potential broader deployment.\n\nThe system works by accessing organizational data that individual users already have permission to view, including documents stored in SharePoint, OneDrive, email messages and attachments in Outlook, and conversations in Teams. When you use M365 Copilot, it analyzes this information to provide personalized assistance with writing, summarization, tone feedback, and knowledge discovery across your organization's internal content.\n\nImportant to know: This system processes personal information and is currently being evaluated during a pilot phase. The system does not have access to the public internet and relies on your existing organizational access permissions to function. Notifications are provided when the AI is being used.",[],{"purposes":2818,"decision_types":2820,"accountable":2822},[2819],{"id":704,"title":309,"icon":307,"key":309},[2821],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1254,"icon":75,"key":1254},{"id":2824,"headline":2825,"subtitle":12,"intro_body":2826,"labels":2827,"dtpr_summary":2828},"10438f95-6de6-44fc-ae7b-887cf6dc6bb8","AI-Powered Weather Forecasting for Canada","Environment and Climate Change Canada is developing advanced AI systems to improve weather prediction capabilities across the country. The Meteorological Services of Canada (MSC) is exploring energy-efficient AI weather models and developing a hybrid forecasting system that combines traditional meteorological methods with artificial intelligence. This initiative, outlined in the 2023 AI Roadmap, aims to integrate AI into MSC's forecasting processes through 2030, including the development of PARADIS, an all-Canadian weather prediction model that uses a technique called \"spectral nudging\" to blend conventional and AI-based approaches.\n\nThis system will be used by both government employees and the public to access more accurate and timely weather information. The system does not involve personal information collection, focusing instead on environmental and meteorological data to improve forecast accuracy and efficiency. Key initiatives include evaluating established AI models like GraphCast, ForeCastNet, and AIFS to identify the most suitable approaches for Canadian weather conditions.",[],{"purposes":2829,"decision_types":2831,"accountable":2833},[2830],{"id":704,"title":309,"icon":307,"key":309},[2832],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1254,"icon":69,"key":1254},{"id":2835,"headline":2836,"subtitle":12,"intro_body":2837,"labels":2838,"dtpr_summary":2839},"a0910a5d-da61-4b8a-ac3a-3717ce102e36","AI-Powered Training Material Generation System","Environment and Climate Change Canada developed custom course creation tools as a proof of concept to explore how generative AI could be used to create training material for government employees. The system uses a Retrieval Augmented Generation approach, combining a generative AI model with source documents to produce customized course content.\n\nThis system was designed to assist Government of Canada employees in accessing relevant training materials more efficiently. The tool augments generative AI capabilities with carefully selected source documents to ensure course content remains grounded in authoritative training material.\n\n**Key Information:** This project is now retired. The system does not involve the collection or processing of personal information. It is intended exclusively for use by GC employees.",[],{"purposes":2840,"decision_types":2842,"accountable":2844},[2841],{"id":814,"title":314,"icon":312,"key":314},[2843],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1254,"icon":69,"key":1254},{"id":2846,"headline":2847,"subtitle":12,"intro_body":2848,"labels":2849,"dtpr_summary":2850},"b94dede8-d8db-4b13-89f1-8b1196bac550","AI-Powered Service Desk Virtual Agents","Environment and Climate Change Canada has developed virtual agents to serve as a primary point of contact for the service desk. These AI-powered assistants are grounded in documented organizational knowledge bases and are designed to respond to common questions using natural language processing. The system aims to reduce the workload associated with triaging service intake requests by providing immediate, accurate responses to frequently asked questions.\n\nThe virtual agents draw from individual program knowledge bases, intranet content, and relevant policies and legislation to deliver informed responses. This proof-of-concept project is currently in development and does not involve the processing of personal information. The system is primarily used by Government of Canada employees seeking service desk support.\n\nAs this is a notification AI system under development, the public should be aware that virtual agent interactions are designed to efficiently route inquiries and provide self-service support. The system operates without collecting or storing personal data about users, focusing instead on delivering standardized responses based on organizational knowledge.",[],{"purposes":2851,"decision_types":2854,"accountable":2856},[2852,2853],{"id":816,"title":239,"icon":237,"key":239},{"id":706,"title":294,"icon":292,"key":294},[2855],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1254,"icon":75,"key":1254},{"id":2858,"headline":2859,"subtitle":12,"intro_body":2860,"labels":2861,"dtpr_summary":2862},"577e411b-509d-4861-8723-a4a450ab5e38","AI-Powered Internal Chatbot for Government Employees","Environment and Climate Change Canada has developed an internal chatbot system designed to assist Government of Canada employees with information and task automation. The system is currently in development and integrates Large Language Model technology with an AI workflow engine and agentic capabilities to provide enterprise-level conversational assistance.\n\nThis chatbot is designed to work with Protected B level information, meaning it can handle sensitive government data while maintaining appropriate security controls. The system is intended for use only by authorized GC employees and does not process personal information about members of the public.\n\nKey facts: The system is in development status, intended for internal Government of Canada use only, and operates without collecting personal information from the public. It has been assigned AI Registry ID 2526-ECCC-006 for tracking and accountability purposes.",[],{"purposes":2863,"decision_types":2865,"accountable":2871},[2864],{"id":816,"title":239,"icon":237,"key":239},[2866,2867,2868],{"id":725,"title":726,"icon":727,"key":726},{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":2869,"title":2870,"icon":488,"key":2870},"workflow_routing","Workflow Routing",{"id":748,"title":1254,"icon":69,"key":1254},{"id":2873,"headline":2874,"subtitle":12,"intro_body":2875,"labels":2876,"dtpr_summary":2877},"d025569c-3470-4403-9fad-b61e7527e8d2","AI-Powered CITES Permit Document Processing","This system uses artificial intelligence to automatically extract and organize information from scanned CITES (Convention on International Trade in Endangered Species) permit documents. Rather than manually typing information from paper permits into databases, the AI reads the documents and creates digital records, making it faster and easier for government employees to access and manage permit information.\n\nThe system is currently in development and is a collaboration between Environment and Climate Change Canada's Enforcement Branch and Canadian Wildlife Service. It processes scanned PDF documents using optical character recognition (OCR) and large language models to identify key permit details and convert them into structured database records that can be searched and queried.\n\nPlease note: This system processes personal information contained in CITES permits. Primary users are Government of Canada employees responsible for wildlife permit administration and enforcement.",[],{"purposes":2878,"decision_types":2881,"accountable":2883},[2879,2880],{"id":704,"title":309,"icon":307,"key":309},{"id":758,"title":274,"icon":272,"key":274},[2882],{"id":801,"title":802,"icon":488,"key":802},{"id":748,"title":1254,"icon":69,"key":1254},{"id":2885,"headline":2886,"subtitle":12,"intro_body":2887,"labels":2888,"dtpr_summary":2889},"94669a21-4684-4c7c-bd0b-099f549a6f8e","AI-Powered Oil Spill Detection in Canadian Waters","The Integrated Satellite Tracking of Pollution (ISTOP-ML) system is an artificial intelligence application designed to automatically detect and aid in the reporting of oil pollution in Canadian waters. Developed by the Government of Canada and managed by the Canadian Ice Service in collaboration with Transport Canada, this system uses satellite imagery data from the RADARSAT Constellation Mission combined with machine learning algorithms to identify oil spills more quickly and accurately than manual monitoring alone.\n\nThe system is currently in development and uses image and object recognition technology to analyze satellite data. It does not involve the collection or processing of personal information about individuals. Primary users of this system are Government of Canada employees who work in environmental monitoring and oil spill response. The AI system helps reduce response times to pollution incidents and improves the accuracy of spill detection in Canada's marine environment.\n\nThis technology represents an important tool for environmental protection, enabling faster identification and reporting of oil pollution incidents so that appropriate response measures can be deployed quickly to minimize environmental damage.",[],{"purposes":2890,"decision_types":2893,"accountable":2895},[2891,2892],{"id":1214,"title":264,"icon":262,"key":264},{"id":737,"title":319,"icon":317,"key":319},[2894],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1254,"icon":69,"key":1254},{"id":2897,"headline":2898,"subtitle":12,"intro_body":2899,"labels":2900,"dtpr_summary":2901},"d4506f6f-251e-47b9-a3de-3daf770c0a55","AI-Powered Water Quality Monitoring","Environment and Climate Change Canada has developed an artificial intelligence system to automatically detect changes in inland water quality using satellite and remote sensing data. The system is currently in development and applies machine learning and probabilistic modeling techniques to analyze multispectral, hyperspectral, and synthetic aperture radar data from multiple sources including Copernicus Sentinel-1, Planet Labs, Wyvern, and water quality monitoring buoys operated by ECCC.\n\nThis system is designed for use by Government of Canada employees and does not involve the collection or processing of personal information. By automating the detection of water quality degradation, the system aims to enable faster identification of environmental changes and support decision-making for water resource management and environmental protection.\n\nThe system is currently under development as part of the Government of Canada's efforts to apply emerging technologies to environmental monitoring. Users should understand that this is an experimental system designed to assist in identifying water quality changes from remote sensing data, and human expertise remains essential for verification and decision-making.",[],{"purposes":2902,"decision_types":2904,"accountable":2906},[2903],{"id":1214,"title":264,"icon":262,"key":264},[2905],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1254,"icon":69,"key":1254},{"id":2908,"headline":2909,"subtitle":12,"intro_body":2910,"labels":2911,"dtpr_summary":2912},"836bf380-7d91-44ea-a0be-fb2b4912a5a0","AI-Powered Climate Forecasting Enhancement","Environment and Climate Change Canada's Canadian Centre for Climate Modelling and Analysis (CCCma) has developed an AI system to improve seasonal and decadal climate predictions. The system uses advanced neural network models and conditional variational autoencoders to post-process climate forecasts, enhance prediction accuracy, and better capture extreme weather events. This system is currently in development and is used internally by Government of Canada employees to support climate forecasting operations.\n\nThe AI system does not collect or process personal information. Instead, it works with climate model outputs and meteorological data to improve the quality and reliability of long-term climate predictions. By using machine learning techniques, the system can identify patterns that help meteorologists better understand and forecast seasonal and decadal climate variations, ultimately supporting better climate information for Canadians.\n\nThe system employs both deterministic and generative AI models developed in-house, combining traditional climate science with modern machine learning capabilities. All development and deployment is based on open-source frameworks and principles, ensuring transparency and reproducibility in climate prediction enhancement.",[],{"purposes":2913,"decision_types":2917,"accountable":2921},[2914],{"id":2915,"title":2916,"icon":488,"key":2916},"climate_forecasting","Climate Forecasting",[2918],{"id":2919,"title":2920,"icon":488,"key":2920},"optimization","Optimization",{"id":748,"title":1254,"icon":69,"key":1254},{"id":2923,"headline":2924,"subtitle":12,"intro_body":2925,"labels":2926,"dtpr_summary":2927},"a5673ccc-a900-45bb-b8df-75d0ce231593","Climate Emulator for Enhanced Weather Forecasting","Environment and Climate Change Canada's Climate Prediction and Projection System uses artificial intelligence to enhance climate forecasting capabilities. The system implements climate emulators, such as the Allen Institute's ACE2 Climate Emulator, to improve the accuracy and reliability of climate predictions by increasing the size of ensemble forecasts and better understanding natural climate variability.\n\nThis AI system is currently in development and is designed for use by Government of Canada employees involved in climate research and forecasting. The system processes climate model output data to generate improved climate predictions and does not involve the collection or processing of personal information about individuals.\n\nAs an evolving system, the AI climate emulator is being adapted from its current deterministic form toward a probabilistic approach, which will provide more nuanced uncertainty quantification in climate forecasts. This transparency page explains how the system works, what data it uses, and how climate forecasts are generated.",[],{"purposes":2928,"decision_types":2931,"accountable":2933},[2929,2930],{"id":1214,"title":264,"icon":262,"key":264},{"id":704,"title":309,"icon":307,"key":309},[2932],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1254,"icon":69,"key":1254},{"id":2935,"headline":2825,"subtitle":12,"intro_body":2936,"labels":2937,"dtpr_summary":2938},"bec5aabe-c549-42d8-9326-7065e2f6f5f5","Environment and Climate Change Canada (ECCC) is developing advanced artificial intelligence systems to improve weather prediction and forecasting services. The Meteorological Services of Canada (MSC) is exploring energy-efficient AI weather models such as GraphCast, ForeCastNet, and AIFS to increase the efficiency and accuracy of forecasts through 2030.\n\nThis AI system affects both ECCC employees who use it for operational forecasting and the general public who receive weather predictions and warnings. The system processes meteorological data to generate improved weather forecasts that help Canadians prepare for weather events and make informed decisions about their daily activities.\n\nThis system is currently in development and exploration phase. It does not involve the collection or processing of personal information about individuals. The AI models are being evaluated for their ability to improve forecast accuracy while reducing computational energy requirements compared to traditional forecasting methods.",[],{"purposes":2939,"decision_types":2942,"accountable":2944},[2940,2941],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[2943],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":1254,"icon":69,"key":1254},{"id":2946,"headline":2947,"subtitle":12,"intro_body":2948,"labels":2949,"dtpr_summary":2950},"0581d820-6bbf-47b7-87e4-74065caaa0ff","AI Assistant for Government Employee Productivity","M365 Copilot is an AI-assisted productivity tool deployed across the Financial Consumer Agency of Canada to help employees work more efficiently. The system uses artificial intelligence to provide writing assistance, data analysis, and workflow automation capabilities integrated into Microsoft 365 applications. This AI system is currently in production and available to all Government of Canada employees within the agency. The system processes work-related data and communications to provide personalized assistance and recommendations based on employee activities and document content.",[],{"purposes":2951,"decision_types":2953,"accountable":2955},[2952],{"id":816,"title":239,"icon":237,"key":239},[2954],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1763,"icon":75,"key":1763},{"id":2957,"headline":2958,"subtitle":12,"intro_body":2959,"labels":2960,"dtpr_summary":2961},"512c1377-a8b6-4f16-9b25-f3fd41d2e6fe","AI-Powered News Topic Relevance Analyzer","Fisheries and Oceans Canada (DFO) has developed an AI-powered news topic detection tool to help identify emerging news stories relevant to the department's mandate. The system uses advanced language models and topic clustering to automatically analyze news content and assess its relevance to DFO's work, saving staff time and reducing the risk of missing important developments.\n\nThis system is currently in development and will be used by both DFO employees and the public. It analyzes news topics to surface connections between external developments and DFO's internal priorities and existing resources. The tool processes text data from news sources and Canadian Science Advisory Secretariat publications to identify relevant topics and determine what knowledge DFO already has to address them.\n\nPlease note: This system processes personal information as part of its operation. The tool is being developed using open-source technology and aims to enable faster, more informed responses and strategic planning across the department.",[],{"purposes":2962,"decision_types":2965,"accountable":2967},[2963,2964],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[2966],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":2050,"icon":75,"key":2050},{"id":2969,"headline":2970,"subtitle":12,"intro_body":2971,"labels":2972,"dtpr_summary":2973},"60b22b53-0463-48db-9444-0a42ddf53587","AI Chatbot for Information Management Support","The IM Chatbot is an artificial intelligence system currently in development by Fisheries and Oceans Canada to help Government of Canada employees find answers to questions about information management practices and policies. The system uses a Large Language Model to understand employee questions and provide relevant responses based on information available on the IM intranet site.\n\nThis system is designed to improve access to information management guidance and reduce the burden on information management staff by providing quick, automated responses to common questions. The chatbot does not process personal information and is intended solely to support internal government operations.\n\nAs this system is still in development, Fisheries and Oceans Canada is committed to transparency about how it works and invites feedback from government employees who interact with it. The system is registered in Canada's AI Register under identifier 2526-DFO-MPO-004.",[],{"purposes":2974,"decision_types":2976,"accountable":2978},[2975],{"id":706,"title":294,"icon":292,"key":294},[2977],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":2050,"icon":69,"key":2050},{"id":2980,"headline":2981,"subtitle":12,"intro_body":2982,"labels":2983,"dtpr_summary":2984},"4035c453-8321-41b4-aa2b-14819d4ab04f","AI-Assisted Code Development at Fisheries and Oceans Canada","GitHub Copilot is an AI-assisted coding system currently in development at Fisheries and Oceans Canada (DFO). This system uses artificial intelligence to help developers write code more efficiently by providing intelligent code suggestions and completions. The primary purpose is to enhance developer productivity and explore the operational value that AI-assisted coding can bring to government software development practices.\n\nThe system is being piloted with Government of Canada employees who work in software development roles. GitHub Copilot does not involve the collection or processing of personal information about Canadian citizens or the public. Instead, it focuses on supporting internal government development workflows by analyzing code patterns and suggesting relevant code improvements.\n\nAs this system is still in development, DFO is carefully evaluating its effectiveness and impact on development workflows. The government remains committed to ensuring that any deployment of AI-assisted tools maintains appropriate oversight and aligns with Canadian government standards for responsible AI use.",[],{"purposes":2985,"decision_types":2989,"accountable":2991},[2986,2987,2988],{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},{"id":814,"title":314,"icon":312,"key":314},[2990],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":2050,"icon":69,"key":2050},{"id":2993,"headline":2994,"subtitle":12,"intro_body":2995,"labels":2996,"dtpr_summary":2997},"79d48eb1-86b9-4f7d-8cd6-c7a71448f64c","AI-Powered Grants and Contributions Financial Forecasting","Housing, Infrastructure and Communities Canada has implemented an AI forecasting tool designed to improve financial processes and enhance the accuracy and efficiency of predictions for grants and contributions programs. The system analyzes historical grants and contributions financial data to generate forecasts that support better financial planning and decision-making across the organization.\n\nThis forecasting system is currently in production and is used by Government of Canada employees to support financial planning activities. The system does not process personal information, making it focused exclusively on financial data and program metrics. The tool aims to improve data accuracy, operational efficiency, and the reliability of financial forecasts for grant and contribution programs.\n\nAs a public sector AI system, this forecasting tool is part of Canada's commitment to transparent and accountable use of artificial intelligence in government operations. Citizens and stakeholders can learn more about how this system supports financial management and forecasting in federal grants and contributions programs.",[],{"purposes":2998,"decision_types":3000,"accountable":3002},[2999],{"id":704,"title":309,"icon":307,"key":309},[3001],{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":748,"title":2107,"icon":69,"key":2107},{"id":3004,"headline":3005,"subtitle":12,"intro_body":3006,"labels":3007,"dtpr_summary":3008},"1043412f-52a9-479d-aadb-827f4316f924","AI System for Detecting Watercraft at Border Crossings","The Remote Observation of Watercraft on Roads system is an AI-powered initiative developed by Fisheries and Oceans Canada to address the spread of aquatic invasive species across international borders. The system uses remote camera systems deployed at select land border entry points to automatically detect and identify watercraft being transported on vehicles. By capturing imagery of incoming vehicles and using machine learning to flag images containing watercraft, the system helps quantify the movement of watercraft into Canada and the potential risk of invasive species hitchhiking on boats and trailers.\n\nThis pilot system is currently in development and is designed to enhance understanding of the \"stowaway pathway\" – the process by which invasive species attach to watercraft and related equipment during transport between water bodies. The system will be used by Government of Canada employees involved in aquatic invasive species management and border monitoring.\n\nThe system does not involve collection of personal information about individuals. It focuses exclusively on detecting the presence of watercraft in border crossing imagery, supporting Canada's efforts to prevent the unintentional spread of aquatic invasive species across ecosystems.",[],{"purposes":3009,"decision_types":3011,"accountable":3013},[3010],{"id":1214,"title":264,"icon":262,"key":264},[3012],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":2050,"icon":75,"key":2050},{"id":3015,"headline":3016,"subtitle":12,"intro_body":3017,"labels":3018,"dtpr_summary":3019},"59cf0193-6722-45bf-8744-76d8aaed27ef","AI-Powered Salmon Fence Video Analysis","PSSIFence is an artificial intelligence system currently in development by Fisheries and Oceans Canada that automatically detects and counts salmon species from underwater camera footage at fish fence installations. Traditionally, DFO scientists manually review hours of underwater video to count and identify fish species passing through fences placed across rivers and streams. As monitoring obligations increase, manual video review has become unsustainable.\n\nThis AI system uses advanced computer vision technology to replace manual analysis, automatically processing fence videos to determine salmon counts by species. The system aims to reduce the manual effort required while providing more accurate and timely data for stock assessment and population monitoring. The system does not involve processing personal information.\n\nThe AI system is being developed by the Government of Canada and is primarily used by GC employees in the Science Branch - Stock Assessment Lab. This system is subject to federal AI notification requirements and transparency commitments.",[],{"purposes":3020,"decision_types":3022,"accountable":3024},[3021],{"id":1214,"title":264,"icon":262,"key":264},[3023],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":2050,"icon":69,"key":2050},{"id":3026,"headline":3027,"subtitle":12,"intro_body":3028,"labels":3029,"dtpr_summary":3030},"baff138c-ce16-4f0b-a613-47fa42bf2c06","AI-Powered Fisheries Information Retrieval System","The Pacific RAG Chatbot is an artificial intelligence system developed by Fisheries and Oceans Canada to help users find specific information about DFO policies, governance, scientific research, and fisheries management activities in British Columbia and the Yukon. The system uses retrieval-augmented generation (RAG) technology to search the DFO Pacific Fisheries website and return relevant documents and images based on user questions.\n\nThis system is designed to make it easier for users to access information that is already publicly available on the DFO website. Rather than manually searching through the website, users can ask the chatbot questions in plain language, and it will retrieve and present the most relevant information and images. The system currently does not involve the collection or use of personal information.\n\nThe chatbot is currently in development and is intended primarily for use by Government of Canada employees. As part of DFO's commitment to transparent and responsible AI deployment, this system has been registered and is subject to ongoing oversight and evaluation.",[],{"purposes":3031,"decision_types":3033,"accountable":3035},[3032],{"id":706,"title":294,"icon":292,"key":294},[3034],{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":2050,"icon":75,"key":2050},{"id":3037,"headline":3038,"subtitle":12,"intro_body":3039,"labels":3040,"dtpr_summary":3041},"27eb2a5e-0973-4726-8bf1-95ef7fa65afb","AI-Powered Semantic Search for Government Documents","The Factoid Finder Tool is an AI system developed by the Government of Canada to help employees efficiently search and extract information from large libraries of scientific and grey literature documents. Rather than relying on traditional keyword-based search methods, the system uses Small Language Models to perform semantic search, allowing users to find contextually relevant passages within PDF documents more effectively. This reduces the manual labor required for reviewing and organizing knowledge from documents.\n\nThe system is currently in production and is used by Government of Canada employees. It does not involve processing personal information. The Factoid Finder leverages machine learning to understand the meaning and context of search queries, enabling more intelligent document navigation and information retrieval across complex document collections.",[],{"purposes":3042,"decision_types":3045,"accountable":3047},[3043,3044],{"id":706,"title":294,"icon":292,"key":294},{"id":814,"title":314,"icon":312,"key":314},[3046],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":2050,"icon":75,"key":2050},{"id":3049,"headline":3050,"subtitle":12,"intro_body":3051,"labels":3052,"dtpr_summary":3053},"92361345-866c-45eb-b294-282068c07742","Digitizing Historical and Field Research Documents","Fisheries and Oceans Canada uses an Optical Character Recognition (OCR) system to digitize handwritten field notes and historical documents. The system extracts characters from paper-based salmon observations and stream inspection logs into structured digital formats, making scientific data more accessible and easier to analyze. This tool is currently in production and used by Government of Canada employees. The system does not process personal information, focusing instead on scientific observations and research data that spans from ~100 year old historical records to present-day field notes.",[],{"purposes":3054,"decision_types":3056,"accountable":3058},[3055],{"id":814,"title":314,"icon":312,"key":314},[3057],{"id":801,"title":802,"icon":488,"key":802},{"id":712,"title":2050,"icon":75,"key":2050},{"id":3060,"headline":3061,"subtitle":12,"intro_body":3062,"labels":3063,"dtpr_summary":3064},"5bfeee69-6aae-4b11-82e7-25d585f02e16","AI-Powered OCR Data Quality Validation System","The Data Validation Tool is an AI system currently in development by Fisheries and Oceans Canada that improves the accuracy of digitized documents. When handwritten or non-machine-readable documents are converted to digital text using optical character recognition (OCR), errors often occur. This system uses advanced language models to detect these errors and propose corrections, ensuring that extracted data is accurate and consistent.\n\nThe tool is designed to help GC employees who work with Area Stream Inspection Logs from Pacific Regions. By automatically validating and standardizing data, it reduces the time staff spend manually checking for transcription errors and helps ensure data quality before information enters databases. This means more reliable information for analysis and better integration across government systems.\n\nThis system does not involve personal information and is being developed using open source technologies. The validation occurs automatically after OCR processing, making the data review process more efficient and consistent across different documents and data entry operations.",[],{"purposes":3065,"decision_types":3069,"accountable":3073},[3066],{"id":3067,"title":3068,"icon":488,"key":3068},"data_quality","Data Quality",[3070],{"id":3071,"title":3072,"icon":488,"key":3072},"error_correction","OCR Error Detection and Correction",{"id":748,"title":2050,"icon":69,"key":2050},{"id":3075,"headline":3076,"subtitle":12,"intro_body":3077,"labels":3078,"dtpr_summary":3079},"f70351c8-1ad4-4472-ab5a-8a2a946f6d7c","AI-Powered Environmental Extreme Detection System","This artificial intelligence system identifies environmental extremes by analyzing oceanographic data such as temperature, oxygen levels, and acidity. The system segments data into regions with consistent environmental conditions and defines extremes based on historical patterns within each region, enabling more targeted analysis of environmental changes in Canada's waters.\n\nThe system is currently in development by Fisheries and Oceans Canada and is designed for use by Government of Canada employees. This system does not involve personal information and focuses exclusively on environmental monitoring and analysis. The AI uses machine learning algorithms to automatically detect and characterize unusual environmental conditions that may indicate ecological stress or changes in marine ecosystems.",[],{"purposes":3080,"decision_types":3083,"accountable":3085},[3081,3082],{"id":1214,"title":264,"icon":262,"key":264},{"id":704,"title":309,"icon":307,"key":309},[3084],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":2050,"icon":75,"key":2050},{"id":3087,"headline":3088,"subtitle":12,"intro_body":3089,"labels":3090,"dtpr_summary":3091},"fab9b1ed-167e-4072-bcb0-142a939a84f9","AI-Enhanced Hydrological Streamflow Forecasting","This AI system improves streamflow predictions by using neural networks to post-process outputs from the WRF-Hydro hydrological model. Streamflow forecasts are critical for water resource management, flood prediction, and environmental monitoring across Canada. The system combines traditional hydrological calibration methods with modern artificial intelligence techniques to increase the accuracy and reliability of water flow predictions.\n\nThe system is currently in development and is being used by Government of Canada employees to refine water management and environmental monitoring capabilities. This system does not process personal information—it works exclusively with environmental and hydrological data such as water flow measurements and atmospheric model outputs. By improving the accuracy of streamflow simulations, this AI helps support better decision-making for water resource management, flood prevention, and environmental protection.",[],{"purposes":3092,"decision_types":3094,"accountable":3096},[3093],{"id":704,"title":309,"icon":307,"key":309},[3095],{"id":2919,"title":2920,"icon":488,"key":2920},{"id":748,"title":2050,"icon":69,"key":2050},{"id":3098,"headline":3099,"subtitle":12,"intro_body":3100,"labels":3101,"dtpr_summary":3102},"58022b10-5c3e-4a61-b3bc-e59bd908d9f4","AI-Powered Smart Labels Classification Tool","The Labels Pilot is an artificial intelligence system being developed by Fisheries and Oceans Canada to support employees in document and data classification tasks. The system combines smart labeling technology with a copilot agent that helps validate user classifications, making the classification process faster and more consistent across the department.\n\nThis pilot system is designed specifically for use by Government of Canada employees and does not involve the collection or processing of personal information about the public. The system operates in a development phase and is being evaluated for its effectiveness in improving departmental workflow efficiency.\n\nKey information: Status is in development, primary users are GC employees, and the system does not process personal information.",[],{"purposes":3103,"decision_types":3106,"accountable":3111},[3104,3105],{"id":816,"title":239,"icon":237,"key":239},{"id":706,"title":294,"icon":292,"key":294},[3107,3108],{"id":744,"title":745,"icon":746,"key":745},{"id":3109,"title":3110,"icon":488,"key":3110},"copilot_validation_agent","Copilot-Assisted Validation Decision",{"id":712,"title":2050,"icon":75,"key":2050},{"id":3113,"headline":3114,"subtitle":12,"intro_body":3115,"labels":3116,"dtpr_summary":3117},"6a9e0aaa-1f88-496a-9e9a-264c456f02e4","AI-Powered Market Research for Public Opinion Analysis","This AI system was designed to support market research activities by analyzing public opinion and predicting human behavior regarding support for the National Capital Commission. The system used artificial intelligence techniques to process and analyze data collected from randomized, controlled samples of populations sourced through social media platforms.\n\nThe system was developed by Advanced Symbolics and primarily used by Government of Canada employees as part of a research program. This system has been retired and is no longer in active use.\n\n**Key Information for the Public:** This research program involved analyzing social media-derived data to assess public positions and predict behavioral patterns. No personal information handling has been disclosed for this system.",[],{"purposes":3118,"decision_types":3120,"accountable":3122},[3119],{"id":704,"title":309,"icon":307,"key":309},[3121],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":3123,"icon":75,"key":3123},"National Capital Commission",{"id":3125,"headline":3126,"subtitle":12,"intro_body":3127,"labels":3128,"dtpr_summary":3129},"465f7918-6b81-4cec-b3d0-5d9b6322c2d8","AI Alignment Assessment for Agricultural Development","This system analyzes Canada's development programming in agriculture and food to understand how well projects align with high-impact interventions from the Ceres2030 framework, which supports the United Nations Sustainable Development Goal 2 (zero hunger). Using machine learning and natural language processing, the system automatically extracts project characteristics and outcomes from departmental reports to identify causal relationships and support portfolio analysis.\n\nThe system processes unstructured project documents and reports to create structured data that enhances existing departmental reporting capabilities. This analysis helps inform whether development interventions and approaches—individually and jointly—meet strategic, programmatic, and policy needs related to sustainable agriculture and food security.\n\nNote: This system is now retired. It does not process personal information and was primarily used by Government of Canada employees. The system was developed by the University of Notre Dame as a vendor partner.",[],{"purposes":3130,"decision_types":3132,"accountable":3134},[3131],{"id":704,"title":309,"icon":307,"key":309},[3133],{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":1725,"icon":69,"key":1725},{"id":3136,"headline":3137,"subtitle":12,"intro_body":3138,"labels":3139,"dtpr_summary":3140},"3b9ecd9f-0de2-479b-b65c-80ef3600d255","AI-Powered Code Generation for Government Developers","The Treasury Board of Canada Secretariat is piloting AI code-generation tools to enhance the efficiency of software development and maintenance. This system uses the Cursor tool developed by Anysphere Inc. to provide intelligent code suggestions, automate repetitive programming tasks, and enable real-time collaboration among development teams. The pilot aims to measure improvements in team productivity and determine if industry-observed efficiency gains apply in the government's operating context.\n\nThis AI system is designed to assist Government of Canada employees working in software development roles. The system processes unclassified code for applications and does not involve personal information. The system is currently in production as a pilot project, allowing the development teams to evaluate its impact on their work velocity and overall productivity before making broader deployment decisions.",[],{"purposes":3141,"decision_types":3144,"accountable":3146},[3142,3143],{"id":704,"title":309,"icon":307,"key":309},{"id":816,"title":239,"icon":237,"key":239},[3145],{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":712,"title":3147,"icon":75,"key":3147},"Treasury Board of Canada Secretariat (TBS)",{"id":3149,"headline":3150,"subtitle":12,"intro_body":3151,"labels":3152,"dtpr_summary":3153},"b3237a0e-93a5-4d51-bdaf-ed9dd9fe45bb","AI-Powered Financial Risk Detection","Global Affairs Canada uses an artificial intelligence system to monitor financial risks in mission transactions and government spending. The system analyzes anonymized financial data—including expenses, vendor information, contracts, and payments—to identify potential financial irregularities and reduce risk exposure. The system is built on a customized version of a vendor's internal audit tool, enhanced with machine learning algorithms specifically developed for Global Affairs Canada's financial monitoring needs. This system is no longer in active use. Only Global Affairs Canada employees have access to the system's analysis, and no personal information about individuals is processed by this system.",[],{"purposes":3154,"decision_types":3156,"accountable":3158},[3155],{"id":704,"title":309,"icon":307,"key":309},[3157],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3160,"headline":3161,"subtitle":12,"intro_body":3162,"labels":3163,"dtpr_summary":3164},"17383d42-db60-45c8-8e04-cdeaddbebecf","Automating Grant Data Entry with AI","Global Affairs Canada uses an AI-assisted system to improve the accuracy and consistency of data entry for grants and international contributions. The system analyzes grant documents using advanced natural language processing and computer vision technologies to automatically extract and classify project information into standardized data fields. This automation helps ensure better tracking, reporting, and accountability of Canada's international assistance programs.\n\nThe system is currently in production and is used by Government of Canada employees. It does not process personal information about individuals. The system uses Azure AI Document Intelligence, AI Vision, and Large Language Models to read grant documents, extract key information, and automatically categorize projects by development assistance codes, policy markers, and countries. This technology supports both English and French language processing.",[],{"purposes":3165,"decision_types":3167,"accountable":3169},[3166],{"id":704,"title":309,"icon":307,"key":309},[3168],{"id":709,"title":710,"icon":488,"key":710},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3171,"headline":3172,"subtitle":12,"intro_body":3173,"labels":3174,"dtpr_summary":3175},"31c182bc-41c9-4e6a-9c97-255f61c1162a","Automated Export Permit Application System","The Export Control On-Line System (EXCOL) is an interactive, computerized application that allows clients to submit export applications and certificates online through a secure channel. Operated by Global Affairs Canada, this system is currently in production and processes export permit applications from both government employees and members of the public.\n\nEXCOL uses rule-based decision techniques to automatically grant EIPA permits when specific conditions are met, such as when importers and exporters have available quotas. The system reviews user-submitted applications containing required information and data files to determine permit eligibility. Because EXCOL processes personal information as part of export permit applications, the system includes safeguards to protect applicant data while enabling efficient permit processing.\n\nThe system was developed by CGI Group Inc. and represents an important part of Canada's export control infrastructure, streamlining the permit application process while maintaining necessary oversight and security through secure online channels.",[],{"purposes":3176,"decision_types":3179,"accountable":3184},[3177,3178],{"id":816,"title":239,"icon":237,"key":239},{"id":758,"title":274,"icon":272,"key":274},[3180,3181],{"id":744,"title":745,"icon":746,"key":745},{"id":3182,"title":3183,"icon":488,"key":3183},"quota_based_allocation","Quota-Based Resource Allocation",{"id":712,"title":1725,"icon":75,"key":1725},{"id":3186,"headline":3187,"subtitle":12,"intro_body":3188,"labels":3189,"dtpr_summary":3190},"acbca8b4-1aeb-4840-b3ea-a1d564e191ef","AI Accelerates Design Patent Examination Process","DesignVision is an artificial intelligence system that assists with the examination of design patent applications at Innovation, Science and Economic Development Canada (ISED). The system uses computer vision and deep learning algorithms to automatically search global design databases and identify similar designs, comparing tens of millions of existing designs against newly-filed applications in seconds. This replaces the labor-intensive manual visual inspection process that previously required human examiners to review thousands of designs individually.\n\nThe system affects applicants seeking design patents by significantly reducing processing times and improving the quality and consistency of examination decisions. DesignVision searches collective industrial design databases from 80 international intellectual property offices worldwide, enabling faster and more thorough comparisons than manual review. Since its deployment in 2022, the system has enhanced examination efficiency and quality while reducing the administrative burden on government employees.\n\n**Key Transparency Information:** This system does not collect or process personal information about individuals. It operates exclusively on design images and technical data from patent applications. The system is currently in production and is used by GC employees responsible for design patent examination. The technology was developed by Clarivate Analytics and is subject to regular monitoring to ensure accurate and fair examination outcomes across all design applications.",[],{"purposes":3191,"decision_types":3193,"accountable":3195},[3192],{"id":704,"title":309,"icon":307,"key":309},[3194],{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":3196,"icon":69,"key":3196},"Innovation, Science and Economic Development Canada (ISED)",{"id":3198,"headline":3199,"subtitle":12,"intro_body":3200,"labels":3201,"dtpr_summary":3202},"24209a41-5c81-4169-988f-3cf9200ad3a5","AI-Powered Employee Productivity and Innovation Tool","Radia is an experimental generative AI platform developed by the Communications Research Centre to help Government of Canada employees work more efficiently. The system provides access to advanced AI tools including document summarization, drafting, translation, coding assistance, and data analysis capabilities. Currently in development and restricted to unclassified information only, Radia aims to explore safe and responsible AI adoption within departmental operations while reducing repetitive tasks and improving productivity.\n\nThe platform works by allowing employees to interact with large language models and autonomous agents through simple interfaces. Users can upload documents, ask questions, and request various content generation or analysis tasks. Radia can integrate with internal knowledge bases and departmental systems to provide more contextual and useful responses. The system uses a combination of open-source and proprietary AI models delivered through cloud-based infrastructure.\n\nThis proof-of-concept platform does not involve processing personal information. All interactions are limited to unclassified government information and user-provided public content such as documents, text, images, and data. The system is available only to Government of Canada employees as part of the innovation testing initiative.",[],{"purposes":3203,"decision_types":3207,"accountable":3210},[3204,3205,3206],{"id":704,"title":309,"icon":307,"key":309},{"id":814,"title":314,"icon":312,"key":314},{"id":816,"title":239,"icon":237,"key":239},[3208,3209],{"id":835,"title":836,"icon":837,"key":836},{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":748,"title":3196,"icon":69,"key":3196},{"id":3212,"headline":3213,"subtitle":12,"intro_body":3214,"labels":3215,"dtpr_summary":3216},"e004f4b6-a2e6-465a-8153-b0c1130d2779","AI-Powered Employee Productivity and Content Generation","RadiaPRO is a generative AI platform developed by Innovation, Science and Economic Development Canada (ISED) to enhance employee productivity and streamline business processes. Currently in development, this enterprise platform will provide Government of Canada employees with advanced AI tools including document summarization, drafting, translation, code assistance, data analysis, and automated workflow design. The system will operate within a Protected B-certified cloud environment, ensuring secure handling of departmental information.\n\nThe platform integrates various large language models and intelligent agents hosted by Shared Services Canada, along with internal knowledge bases and future connections to systems like SharePoint and GCdocs. Users can upload documents, ask questions, and generate content while the system provides multiple model comparisons for transparency. RadiaPRO aims to reduce repetitive administrative tasks and explore responsible AI adoption within government operations. Note: This system does not process personal information about individuals; it focuses on improving departmental work processes and does not involve collection of personal data.",[],{"purposes":3217,"decision_types":3222,"accountable":3225},[3218,3219,3220,3221],{"id":2116,"title":2117,"icon":488,"key":2117},{"id":1598,"title":1603,"icon":488,"key":1603},{"id":814,"title":314,"icon":312,"key":314},{"id":816,"title":239,"icon":237,"key":239},[3223],{"id":1598,"title":3224,"icon":488,"key":3224},"Content Generation and Analysis",{"id":748,"title":3196,"icon":69,"key":3196},{"id":3227,"headline":3228,"subtitle":12,"intro_body":3229,"labels":3230,"dtpr_summary":3231},"a3185fcc-2199-4083-aa19-480e19fa7e57","AI-Powered Government Business Support Program Discovery","The Business Benefits Finder Daily Web Crawler and Daily Web Scraper is an artificial intelligence system developed by Innovation, Science and Economic Development Canada to automatically discover and extract information about government business-support programs at federal and provincial levels. The system uses machine learning and natural language processing to continuously scan official government websites, extract relevant program details, and provide structured data for government employees to review before publication on the Business Benefits Finder portal.\n\nThis system addresses a significant operational challenge: manually identifying and updating thousands of business support program entries is time-consuming and prone to delays. By automating the discovery and extraction process, the system improves the accuracy, timeliness, and comprehensiveness of program listings available to Canadian businesses seeking funding and support opportunities. The system currently operates in production and does not process personal information.\n\nGovernment employees use this system to streamline their workflow and ensure that Canadian businesses have access to the most current information about available support programs. The system enhances government efficiency while maintaining human oversight through a review process before any data is published.",[],{"purposes":3232,"decision_types":3237,"accountable":3240},[3233,3234,3235],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},{"id":3236,"title":249,"icon":247,"key":249},"commerce",[3238,3239],{"id":725,"title":726,"icon":727,"key":726},{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3242,"headline":3243,"subtitle":12,"intro_body":3244,"labels":3245,"dtpr_summary":3246},"e3baddaf-db14-4401-8956-2afdc349d9f3","AI-Powered Policy Marker Assessment Tool","Global Affairs Canada uses an AI-powered tool to help assess international assistance projects against Canada's policy objectives. The system analyzes project summaries and automatically assigns relevant policy markers—labels that indicate alignment with specific policy areas such as climate action, gender equality, or sustainable development. This automation helps GAC staff evaluate projects more efficiently while maintaining accuracy comparable to expert assessments.\n\nThe tool uses generative AI technology trained on the knowledge of experienced evaluators and GAC's assessment frameworks. When you enter a project description, the system analyzes it and suggests the most relevant policy markers, along with explanations for its recommendations. This allows expert staff to review and validate the AI's suggestions before finalizing assessments.\n\n**Status:** Currently in production and validation. **Primary Users:** Government of Canada employees. **Personal Information:** This system does not involve processing personal information about individuals.",[],{"purposes":3247,"decision_types":3249,"accountable":3251},[3248],{"id":704,"title":309,"icon":307,"key":309},[3250],{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3253,"headline":3254,"subtitle":12,"intro_body":3255,"labels":3256,"dtpr_summary":3257},"49a2dde1-f7ea-45d3-90c4-e72fefa344a4","AI-Powered Document Analysis for Program Evaluation","Document Analyzer is an artificial intelligence system developed by the Government of Canada that automates the structured analysis of multiple documents to support program and project evaluation. The system streamlines the evaluation process by enabling faster review and synthesis of findings from technical reports, research papers, financial reports, project documentation, and other sources stored in government systems like EDRMS, InfoBank, and SharePoint. This tool is currently in production and used by Government of Canada employees in evaluation teams.\n\nThe system helps evaluators identify trends, risks, and lessons learned more efficiently while reducing manual effort and supporting standardized assessments. Document Analyzer does not process personal information—it focuses on analyzing organizational documents and reports. By automating document analysis, the system improves both the speed and quality of evaluation outputs, helping evaluation teams adopt generative AI capabilities while maintaining focus on evidence-based decision-making.",[],{"purposes":3258,"decision_types":3261,"accountable":3263},[3259,3260],{"id":704,"title":309,"icon":307,"key":309},{"id":814,"title":314,"icon":312,"key":314},[3262],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":2390,"icon":69,"key":2390},{"id":3265,"headline":3266,"subtitle":12,"intro_body":3267,"labels":3268,"dtpr_summary":3269},"7865ae55-6541-4555-ac8a-47f1ecba26cc","AI-Powered Document Translation System","GAC Translate is an artificial intelligence system developed by the Government of Canada that enables users to upload documents and receive automated translations from most world languages. The system was originally created to quickly translate documents with unknown content that may contain personal information, helping determine if they require immediate and official translation. It was initially built for the Canadian Ombudsperson for Responsible Enterprise to handle Protected B Information, and has since been expanded to serve all Global Affairs Canada (GAC) employees.\n\nThe system accepts user-uploaded documents and processes them through machine translation technology to provide translations in multiple languages. This system is currently in production and is used by GAC employees across the department. Important to know: This system processes documents that may contain personal information, and users should be aware of data handling practices when uploading sensitive materials.\n\nAs an AI system that handles potentially sensitive government documents, GAC Translate includes safeguards and transparency measures to ensure responsible use. The system is designed to assist with document triage and initial translation needs, helping government staff quickly assess content before formal translation services are engaged.",[],{"purposes":3270,"decision_types":3274,"accountable":3277},[3271,3272,3273],{"id":874,"title":234,"icon":231,"key":234},{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[3275,3276],{"id":725,"title":726,"icon":727,"key":726},{"id":709,"title":710,"icon":488,"key":710},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3279,"headline":3280,"subtitle":12,"intro_body":3281,"labels":3282,"dtpr_summary":3283},"e1617202-8b17-4f2f-9753-287ed0d58b05","AI-Powered News and Social Media Monitoring","Situational Awareness is a custom artificial intelligence platform developed by Global Affairs Canada in partnership with the National Research Council to monitor and analyze information from news outlets and social media sources. The system continuously collects articles and social media posts every 15 minutes from sources like Factiva and Twitter, then uses advanced machine learning to analyze the emotional tone, identify key entities, translate content, and assess relevance to Canadian interests.\n\nThe platform helps Government of Canada employees understand global events and public sentiment more quickly by automatically organizing and ranking news stories by relevance. It uses machine translation to process content in multiple languages and applies sentiment analysis to understand whether reports are positive, negative, or neutral. The system then presents findings through ranked lists, interactive maps, and analysis matrices to support informed decision-making.\n\nThis system does not collect or process personal information about individuals. It focuses exclusively on analyzing publicly available news articles and social media posts. The platform has been retired and is no longer in active use.",[],{"purposes":3284,"decision_types":3287,"accountable":3290},[3285,3286],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[3288,3289],{"id":911,"title":912,"icon":913,"key":912},{"id":725,"title":726,"icon":727,"key":726},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3292,"headline":3293,"subtitle":12,"intro_body":3294,"labels":3295,"dtpr_summary":3296},"86712916-726c-4b57-8e17-bf891ca3bea1","AI-Powered Document Search and Analysis Tool","Document Cracker is an AI-powered document search and analysis tool developed by Global Affairs Canada to help government officials quickly find and understand information across large volumes of documents. The system uses advanced machine learning and natural language processing to automatically index documents, monitor for emerging trends and topics, and identify mentions of key people, locations, and organizations. This enables officials to rapidly identify pressing international issues, develop informed positions, and track how other countries' positions are evolving.\n\nThe system is currently in production and is used by Government of Canada employees. It does not involve the collection or processing of personal information. Document Cracker processes unclassified internal GAC documents such as situation reports, meeting readouts, and official statements, along with external news sources. The system leverages Azure Cognitive Search, machine learning algorithms, and GPT-3 for document summarization to provide comprehensive analysis capabilities.",[],{"purposes":3297,"decision_types":3300,"accountable":3303},[3298,3299],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[3301,3302],{"id":911,"title":912,"icon":913,"key":912},{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3305,"headline":3306,"subtitle":12,"intro_body":3307,"labels":3308,"dtpr_summary":3309},"0bcfffec-8e29-46bb-9cc8-ecc634629911","AI-Powered Quality Assurance for Financial Data","The SWS-QA-Tool is an artificial intelligence system developed by the Government of Canada to improve data quality and verification processes for the Chief Financial Officer's Statistical and Reporting Unit. The system uses algorithms, regression models, and data science techniques to automatically detect errors in financial data, prioritize quality assurance tasks, and generate status reports more quickly and reliably than manual processes. This system is currently in development and will replace a legacy SAP tool that is no longer supported.\n\nThe tool processes financial and project management data to compare observed values against expected values, identifying discrepancies and signaling issues to data owners. This helps the CFO's team improve data accuracy while also tracking progress on the government's data entry initiatives for grants and contributions. The system is designed for use by Government of Canada employees who work with financial and statistical data.\n\nThis system does not involve personal information about individuals. It focuses exclusively on financial and project data used for internal quality assurance and reporting purposes.",[],{"purposes":3310,"decision_types":3312,"accountable":3314},[3311],{"id":704,"title":309,"icon":307,"key":309},[3313],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3316,"headline":3317,"subtitle":12,"intro_body":3318,"labels":3319,"dtpr_summary":3320},"3232e187-2bd4-4b16-8e74-faed7661f7b8","AI-Powered International Assistance Response Generator","The AI Process Assistance Tool is an email generation system designed to help Global Affairs Canada's International Assistance Operations team respond to common inquiries more efficiently. The system analyzes documents related to international assistance programming and recommends appropriate responses based on the organization's established policies and procedures.\n\nThis tool does not process personal information about individuals. Instead, it works with documents and data related to international assistance programs to generate professional email responses. The system is currently in production and is used by Government of Canada employees who work on international assistance matters.\n\nThe tool uses natural language processing and a recommendation engine to analyze incoming inquiries and suggest responses, helping staff provide consistent and accurate information to external stakeholders while reducing the time spent drafting routine communications.",[],{"purposes":3321,"decision_types":3326,"accountable":3328},[3322,3323],{"id":706,"title":294,"icon":292,"key":294},{"id":3324,"title":3325,"icon":488,"key":3325},"staff_assistance_decision_support","Staff Assistance & Operational Efficiency",[3327],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":1725,"icon":69,"key":1725},{"id":3330,"headline":3331,"subtitle":12,"intro_body":3332,"labels":3333,"dtpr_summary":3334},"0f304e53-f28c-4a6e-90c7-d93ad2dd57e8","AI-Powered Chatbot and Agent Development Platform","Copilot Studio is an AI-powered platform developed by the Government of Canada that enables users to create, manage, and deploy custom chatbots and intelligent agents. The system is currently in production and is primarily used by Government of Canada employees to support citizen-led development initiatives.\n\nThe platform allows users to build conversational AI agents using their own knowledge bases and data sources, including files from SharePoint, Dataverse, Azure Search, the Internet, and user-uploaded files. Once created, these chatbots and agents can be deployed across multiple channels including SharePoint, Microsoft Teams, and as standalone or integrated applications.\n\nImportantly, Copilot Studio does not involve the collection or processing of personal information. The system focuses on enabling government employees to develop AI solutions that can better serve citizens through improved accessibility and user-driven innovation.",[],{"purposes":3335,"decision_types":3338,"accountable":3340},[3336,3337],{"id":874,"title":234,"icon":231,"key":234},{"id":816,"title":239,"icon":237,"key":239},[3339],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3342,"headline":3343,"subtitle":12,"intro_body":3344,"labels":3345,"dtpr_summary":3346},"c34c9a45-ba95-4f51-88d8-cc2e6d782c7f","Machine Learning Bridge Safety Monitoring","The Bridge Anomaly Detection Project is an artificial intelligence system developed by the Government of Canada that uses machine learning to automatically detect unusual patterns in sensor data collected from major bridges, including the Samuel de Champlain Bridge. The system analyzes continuous streams of sensor information to identify potential anomalies that may indicate structural issues or maintenance needs.\n\nThis system is currently in production and is used by Government of Canada employees to monitor bridge infrastructure and support maintenance decision-making. The system does not process personal information about individuals. By automatically detecting anomalies in bridge sensor data, this AI system helps ensure the safety and integrity of critical infrastructure while reducing the time needed for manual inspection and analysis.\n\nTransparency is important to us. This page explains how the system works, what data it uses, and the safeguards in place to ensure it operates reliably and safely.",[],{"purposes":3347,"decision_types":3349,"accountable":3352},[3348],{"id":706,"title":294,"icon":292,"key":294},[3350,3351],{"id":911,"title":912,"icon":913,"key":912},{"id":1605,"title":912,"icon":488,"key":912},{"id":712,"title":2107,"icon":75,"key":2107},{"id":3354,"headline":3355,"subtitle":12,"intro_body":3356,"labels":3357,"dtpr_summary":3358},"b1d2e18e-5d2a-479e-8a2e-18dd9b6bdc55","Employee-Powered AI Chatbot Platform","The Enterprise Self Serve AI platform is an in-development initiative at Global Affairs Canada that empowers government employees to create and deploy no-code or low-code chatbots without requiring specialized technical expertise. These chatbots interact with departmental data, files, SharePoint, and the intranet to improve accessibility and efficiency across the organization.\n\nThis system allows GC staff to leverage various AI models and tools to prototype workflows and experiment with new technologies as they are added to the platform. The chatbots can access enterprise data systems and help employees find information more quickly. The platform involves processing of personal information and has been registered in Canada's AI register for transparency and accountability.\n\nKey details: This system is currently in development, involves personal information processing, and is primarily used by Government of Canada employees across various departments.",[],{"purposes":3359,"decision_types":3363,"accountable":3365},[3360,3361,3362],{"id":874,"title":234,"icon":231,"key":234},{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[3364],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3367,"headline":3368,"subtitle":12,"intro_body":3369,"labels":3370,"dtpr_summary":3371},"54b3cb7c-1a63-4f59-9615-3670468741c7","AI-Powered Media Monitoring and Summarization System","Senior Management Briefs is an artificial intelligence system developed by the Government of Canada that automates the monitoring and summarization of media coverage. The system uses advanced language models to scan and interpret a wide range of news sources from Factiva, extracting key developments and producing concise, actionable summaries for senior management decision-making.\n\nThis system is currently in production and is used by Government of Canada employees to stay informed about important news and developments relevant to their work. The system does not process personal information about individuals; instead, it focuses on extracting and summarizing publicly available news content to support organizational intelligence and planning.\n\nThe system has been registered in the Government of Canada's AI registry (ID: 2526-GAC-AMC-017) as part of Canada's commitment to transparency and accountability in AI deployment. Senior management and policy teams rely on these AI-generated briefs to understand emerging issues, track global developments, and inform strategic decisions.",[],{"purposes":3372,"decision_types":3375,"accountable":3377},[3373,3374],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[3376],{"id":801,"title":802,"icon":488,"key":802},{"id":748,"title":1725,"icon":69,"key":1725},{"id":3379,"headline":3380,"subtitle":12,"intro_body":3381,"labels":3382,"dtpr_summary":3383},"09fc4de6-22f3-4270-b583-9dce656a6ee3","AI-Powered Trade Mission Report Synthesis","The Missions AI-Generated Briefs tool is an artificial intelligence system developed by the Government of Canada and deployed by Global Affairs Canada. This system automatically processes monthly trade-related reports submitted by Canadian missions across the United States and transforms them into concise, regionally structured briefing documents.\n\nThe system uses advanced natural language processing and large language models to analyze mission reports stored in SharePoint and generate clear summaries that highlight key trade events and activities. This automation enables Canadian government employees to focus their time and expertise on analyzing insights and taking action, rather than spending hours manually synthesizing information from multiple sources.\n\nThe system is currently in production and does not involve the processing of personal information. It is designed as an internal tool for Government of Canada employees who manage trade-related intelligence and strategic planning.",[],{"purposes":3384,"decision_types":3387,"accountable":3389},[3385,3386],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[3388],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3391,"headline":3392,"subtitle":12,"intro_body":3393,"labels":3394,"dtpr_summary":3395},"ce77ea08-202f-4dbc-b95f-64e2b8768bfc","Secure AI Assistant for Government Employees","GAC GPT is a secure, internal AI platform developed by Global Affairs Canada to provide conversational access to departmental knowledge and documents. The system is designed exclusively for use by Government of Canada employees and does not process personal information about citizens or the public.\n\nThe platform uses advanced AI technology (GPT-4 and Azure infrastructure) to enable employees to interact naturally with curated internal documents, policies, and domain-specific knowledge. This helps improve productivity and ensures consistent access to authoritative departmental information. The system is currently in production and has been designed with security safeguards to protect sensitive government data.\n\nAll data used by GAC GPT comes from internal departmental sources that are periodically updated through controlled data pipelines. The system does not collect, store, or process personal information about individuals outside the government.",[],{"purposes":3396,"decision_types":3399,"accountable":3401},[3397,3398],{"id":816,"title":239,"icon":237,"key":239},{"id":706,"title":294,"icon":292,"key":294},[3400],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3403,"headline":3404,"subtitle":12,"intro_body":3405,"labels":3406,"dtpr_summary":3407},"f6d39f39-1887-46f0-856b-b62980550300","AI-Powered Financial Policy Assistant","Global Affairs Canada has deployed an AI-powered chatbot to help employees quickly access financial accounting policies and procedures. The system uses advanced language technology to understand questions in both English and French, then searches through official policy documents to provide relevant answers with citations and links to source materials.\n\nThis tool is designed to streamline how staff interact with financial and procurement policies, reducing time spent searching documents and allowing financial experts to focus on complex analysis and decision-making tasks. The chatbot operates on unclassified documents only and does not process personal information about individuals.\n\n**Status**: In production | **Primary Users**: Government of Canada employees | **Personal Information**: No",[],{"purposes":3408,"decision_types":3411,"accountable":3413},[3409,3410],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[3412],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1725,"icon":69,"key":1725},{"id":3415,"headline":3416,"subtitle":12,"intro_body":3417,"labels":3418,"dtpr_summary":3419},"56798710-f5a8-4d70-8997-fe729a9fbd77","AI-Powered Trade Support Chatbot","The Trade Commissioner Service (TCS) has deployed an AI-powered chatbot on its refreshed website to help Canadian exporters access trade information and support services more easily. This intelligent assistant uses generative AI technology to answer questions about trade opportunities, services, and export resources in both English and French.\n\nThe chatbot works by analyzing user questions and matching them against the TCS website content, frequently asked questions, and information from other government departments. When users ask questions, the system generates responses with citations showing where the information comes from, ensuring transparency and accuracy. The chatbot also logs information about user interactions to help improve its performance and user experience over time.\n\nThis system is currently in production and is available to members of the public. The chatbot does not collect or store personal information about users—it only tracks general engagement metrics and session activity to measure effectiveness. The system is designed to enhance accessibility to trade resources while maintaining user privacy.",[],{"purposes":3420,"decision_types":3422,"accountable":3424},[3421],{"id":706,"title":294,"icon":292,"key":294},[3423],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1725,"icon":75,"key":1725},{"id":3426,"headline":3427,"subtitle":12,"intro_body":3428,"labels":3429,"dtpr_summary":3430},"9812090b-b189-4629-be6f-ec486069960e","AI-Powered Scientific Literature Review Tool","Health Canada uses machine learning technology to improve the efficiency of conducting scientific literature reviews, including systematic reviews and scoping reviews. This AI system helps researchers and GC employees streamline the review process by automatically removing duplicate references and assisting with screening and data extraction from scientific publications.\n\nThe system is currently in production and is designed to support the work of Government of Canada employees who conduct literature reviews as part of their research and policy development activities. The machine learning algorithms analyze scientific publications to identify relevant studies and extract key information, reducing the manual effort required for these comprehensive literature review processes.\n\nThis system does not collect or process personal information about individuals. It focuses solely on analyzing scientific publications and reference materials to improve research efficiency and accuracy in the literature review process.",[],{"purposes":3431,"decision_types":3434,"accountable":3437},[3432,3433],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[3435,3436],{"id":911,"title":912,"icon":913,"key":912},{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":3438,"icon":69,"key":3438},"Health Canada",{"id":3440,"headline":3441,"subtitle":12,"intro_body":3442,"labels":3443,"dtpr_summary":3444},"f43315fd-81bb-4578-b024-e753708019e9","AI-Powered Product Label Compliance Checker","Project Cyclops is a digital inspection tool currently in development by Health Canada that helps product inspectors quickly assess whether product labels comply with Canadian regulations. Using optical character recognition (OCR) technology, the system analyzes uploaded images of product labels to identify ingredients and validate them against Health Canada's restricted and prohibited ingredient lists. The system generates compliance reports to support inspectors' decision-making. This tool is designed for Government of Canada employees involved in product compliance inspection and does not collect or process personal information about consumers or individuals.",[],{"purposes":3445,"decision_types":3447,"accountable":3449},[3446],{"id":758,"title":274,"icon":272,"key":274},[3448],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":3438,"icon":69,"key":3438},{"id":3451,"headline":3452,"subtitle":12,"intro_body":3453,"labels":3454,"dtpr_summary":3455},"5184e39f-34b3-4628-a23c-c1ca6b5fceea","AI-Powered Scientific Literature Review for Pesticide Assessment","Science-GPT is an AI tool developed by Health Canada to help scientists review pesticide safety information more efficiently. The system uses advanced language models and retrieval technology to summarize and organize scientific literature, including published studies and grey literature, to support chemical assessment decisions at the Pest Management Regulatory Agency (PMRA).\n\nThe system is designed to assist Government of Canada employees who work on pesticide reviews by quickly finding relevant information, extracting key data, and summarizing findings from large volumes of scientific documents. This helps reduce the time needed to complete chemical assessments while maintaining scientific rigor.\n\nScience-GPT is currently in development and does not process personal information. The tool is being built and tested with subject matter experts to ensure it produces accurate, reliable results and to build internal capacity within Health Canada on AI applications in scientific research.",[],{"purposes":3456,"decision_types":3459,"accountable":3463},[3457,3458],{"id":704,"title":309,"icon":307,"key":309},{"id":814,"title":314,"icon":312,"key":314},[3460,3461],{"id":801,"title":802,"icon":488,"key":802},{"id":1528,"title":3462,"icon":488,"key":3462},"Information Retrieval & Search",{"id":748,"title":3438,"icon":69,"key":3438},{"id":3465,"headline":3466,"subtitle":12,"intro_body":3467,"labels":3468,"dtpr_summary":3469},"3cdf34c4-0b1c-4e07-b127-f1c47ae6e486","AI Tool Simplifies Business Regulatory Compliance","BizPal is an online tool currently in development that helps businesses understand and navigate the complex landscape of permits and licences required across federal, provincial, and territorial governments. The system uses artificial intelligence, including machine learning and generative AI, to automatically classify regulatory requirements, extract key details, and provide personalized recommendations tailored to each business's specific situation.\n\nThe tool affects businesses of all sizes by reducing the time and effort required to understand their compliance obligations. Instead of manually searching through fragmented regulatory information across multiple government jurisdictions, businesses can receive clear, tailored guidance. The system uses generative AI to create simplified summaries of permits, licences, and legislative requirements, which are then reviewed and edited by BizPal content experts to ensure accuracy and clarity.\n\nBizPal does not involve the collection of personal information about users. It is being developed by Innovation, Science and Economic Development Canada and is intended for members of the general public seeking regulatory guidance. The system currently includes approximately 1,200 permits and licences in its database and is designed to improve accuracy, efficiency, and user experience in navigating regulatory requirements.",[],{"purposes":3470,"decision_types":3473,"accountable":3476},[3471,3472],{"id":704,"title":309,"icon":307,"key":309},{"id":874,"title":234,"icon":231,"key":234},[3474,3475],{"id":775,"title":776,"icon":777,"key":776},{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3478,"headline":3479,"subtitle":12,"intro_body":3480,"labels":3481,"dtpr_summary":3482},"4468ace6-c01a-4727-88ec-4d9f7aa04af9","AI System for Food Product Data Classification","FLAIME is an artificial intelligence system developed by Health Canada to monitor the food environment by collecting and analyzing publicly available food product information from the internet. The system gathers data about food products, nutrition facts tables, and ingredient lists, then uses machine learning to automatically classify this information and generate reports that help Health Canada understand trends and patterns in the food marketplace.\n\nThis system does not collect or process personal information about individuals. Instead, it focuses on analyzing publicly available product data to support evidence-based decision-making in food policy and regulation. The system is currently in production and is used by Government of Canada employees to monitor food labeling practices and nutritional information across the marketplace.\n\nThe system uses optical character recognition technology to read food labels and automated data classification to organize the collected information into structured databases. This enables Health Canada to maintain a comprehensive understanding of food products available to Canadian consumers without processing any personal data.",[],{"purposes":3483,"decision_types":3485,"accountable":3487},[3484],{"id":704,"title":309,"icon":307,"key":309},[3486],{"id":709,"title":710,"icon":488,"key":710},{"id":712,"title":3438,"icon":75,"key":3438},{"id":3489,"headline":3490,"subtitle":12,"intro_body":3491,"labels":3492,"dtpr_summary":3493},"6f1676ee-cddd-4485-832b-55ce54afe964","AI-Powered Drug Product Information Database","Dark Matter is a database system developed by Health Canada to store and manage results from machine learning models that analyze pharmaceutical product information. The system extracts and organizes data from product monographs, the Drug Product Database, and natural health products databases, allowing AI systems to identify document importance and discover relationships between different types of pharmaceutical text. This system is currently in development and does not collect personal information about individuals.\n\nThe primary users of Dark Matter are Government of Canada employees who work with pharmaceutical product information. The system enhances the accuracy of AI-powered document analysis by allowing users to review and correct any errors detected by the machine learning models, ensuring high-quality pharmaceutical data management. Users can search across multiple databases and export relevant data for their work.\n\nAs an AI system used within government operations, Dark Matter supports Health Canada's mission to regulate and monitor pharmaceutical products while improving the efficiency and accuracy of document processing through machine learning.",[],{"purposes":3494,"decision_types":3496,"accountable":3498},[3495],{"id":704,"title":309,"icon":307,"key":309},[3497],{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":3438,"icon":69,"key":3438},{"id":3500,"headline":3501,"subtitle":12,"intro_body":3502,"labels":3503,"dtpr_summary":3504},"474e7df2-0a22-42d6-9dbc-ae8061756133","Cancer Treatment Product Information Finder","Observatory is a visualization tool currently in development by Health Canada that helps users find and explore product monographs used to treat cancer. The system displays comprehensive Drug Product Database (DPD) details for current products and their previous versions, allowing easy access to cancer treatment information. Observatory is designed for Government of Canada employees and enables users to visualize search results and export data for further analysis. This system does not involve the collection or processing of personal information about individuals.",[],{"purposes":3505,"decision_types":3507,"accountable":3509},[3506],{"id":706,"title":294,"icon":292,"key":294},[3508],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":3438,"icon":75,"key":3438},{"id":3511,"headline":3512,"subtitle":12,"intro_body":3513,"labels":3514,"dtpr_summary":3515},"efc9a4a3-4605-4532-94b6-569e7f0fccdd","AI-Powered Parliamentary Committee Information Dashboard","The Parliamentary Affairs Dashboard is an AI-powered system developed by the Government of Canada that automatically analyzes and presents information from Parliamentary and Senate committee meetings. The system uses artificial intelligence classification techniques to extract, identify, and organize meeting topics, questions, interventions, and speaker information into an easy-to-use dashboard format. This system is currently in production and is primarily used by Government of Canada employees to access and analyze parliamentary proceedings more efficiently.\n\nThe dashboard does not process personal information. It focuses on extracting and analyzing publicly available parliamentary committee data to help users understand legislative discussions, committee activities, and parliamentary proceedings. By automating the identification and categorization of committee meeting content, the system makes parliamentary information more accessible and easier to navigate for government staff who need to track legislative developments and committee activities.",[],{"purposes":3516,"decision_types":3519,"accountable":3521},[3517,3518],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[3520],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":2107,"icon":75,"key":2107},{"id":3523,"headline":3524,"subtitle":12,"intro_body":3525,"labels":3526,"dtpr_summary":3527},"ba0a29bd-fb17-4772-882d-14e7c2a2b4b0","AI-Powered Generative Chat System for Government","The Adaptation of Canchat is a generative AI system currently in development by Housing, Infrastructure and Communities Canada (HICC). This system adapts the Canchat platform to meet the specific needs of the department, including the integration of departmental knowledge repositories, customized models, and sector-specific use cases. The system is designed to support Government of Canada employees in their daily work by providing intelligent conversational AI capabilities.\n\nThis AI system does not involve the collection or processing of personal information about members of the public. It is intended for internal use by GC employees to enhance productivity and access to departmental knowledge. As an in-development system, it continues to be refined and adapted to ensure it meets departmental requirements and maintains appropriate safeguards for government operations.\n\nGovernment of Canada remains accountable for the deployment and use of this system, ensuring that it operates in accordance with federal AI governance requirements and maintains transparency about its capabilities and limitations.",[],{"purposes":3528,"decision_types":3531,"accountable":3533},[3529,3530],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[3532],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":2107,"icon":69,"key":2107},{"id":3535,"headline":3536,"subtitle":12,"intro_body":3537,"labels":3538,"dtpr_summary":3539},"5db8dc83-89dc-457f-a2a9-efa8779c82f5","AI-Powered Immigration Application Guidance","Immigration, Refugees and Citizenship Canada (IRCC) uses an AI-powered chatbot deployed on Facebook to help potential clients navigate the immigration application process. The system uses natural language processing and dialogue management technology to understand what clients are asking and provide relevant guidance about IRCC services and procedures.\n\nThe chatbot is available to members of the public who are considering making an immigration application with IRCC. It processes the text questions you ask and uses artificial intelligence to determine your intent and provide helpful answers. This helps reduce wait times and provides immediate assistance to applicants.\n\nThe system does not retain personal information after the conversation ends. However, it is important to understand that this is an automated system providing general guidance only—it cannot make official decisions about your application and should not replace professional legal or immigration advice. For sensitive personal matters, you should contact IRCC directly or seek assistance from a qualified immigration lawyer.",[],{"purposes":3540,"decision_types":3543,"accountable":3545},[3541,3542],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[3544],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":850,"icon":75,"key":850},{"id":3547,"headline":3548,"subtitle":12,"intro_body":3549,"labels":3550,"dtpr_summary":3551},"d34e48b5-ca15-4667-be4e-a7a7c49f263b","Fast-Track Processing for Routine Visa Applications","Immigration, Refugees and Citizenship Canada (IRCC) uses advanced analytics to automatically identify routine and straightforward visa applications for faster processing. The system analyzes temporary resident visa applications (visitors), visitor records, and spouse\u002Fcommon-law partner applications to determine which cases can be processed quickly without requiring additional review.\n\nThis system affects people applying for temporary residence in Canada by potentially reducing their processing time. Applications identified as routine by the system move through the approval process more quickly than standard applications. The system is currently in use and processes personal information about visa applicants, including their application details and supporting documentation.\n\nKey transparency information: This system is operated by IRCC staff and uses IBM technology. It analyzes personal data to make decisions about application routing and processing speed.",[],{"purposes":3552,"decision_types":3554,"accountable":3556},[3553],{"id":704,"title":309,"icon":307,"key":309},[3555],{"id":725,"title":726,"icon":727,"key":726},{"id":712,"title":850,"icon":75,"key":850},{"id":3558,"headline":3559,"subtitle":12,"intro_body":3560,"labels":3561,"dtpr_summary":3562},"486e5f91-2d77-4d1a-af72-42bdb8faa2c2","AI-Powered Client Enquiry Routing System","Immigration, Refugees and Citizenship Canada (IRCC) uses artificial intelligence to automatically organize and route client enquiries to the appropriate teams. The system uses Amazon Web Services AI tools (Textract and SageMaker) to analyze incoming client requests and categorize them based on their subject matter and urgency.\n\nThis system helps IRCC respond to clients more quickly and efficiently by directing enquiries to the right department on the first attempt, reducing wait times and improving the overall client experience. The system is designed to learn from patterns in enquiries to continuously improve routing accuracy.\n\n**Key Information:** This system is currently in development and is used by Government of Canada employees. The system processes client enquiries which may contain personal information. Amazon Web Services provides the underlying AI technology and cloud infrastructure for this system.",[],{"purposes":3563,"decision_types":3565,"accountable":3568},[3564],{"id":706,"title":294,"icon":292,"key":294},[3566,3567],{"id":725,"title":726,"icon":727,"key":726},{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":850,"icon":75,"key":850},{"id":3570,"headline":3571,"subtitle":12,"intro_body":3572,"labels":3573,"dtpr_summary":3574},"7a44b613-107b-4241-901a-21f740b4d126","AI-Powered 1931 Census Transcription and Indexing","Library and Archives Canada has partnered with Ancestry and FamilySearch to create a comprehensive digital index of the 1931 Canadian Census using advanced handwriting recognition (HTR) technology and artificial intelligence. This system processes approximately 230,000 digitized census images containing roughly 10 million names, automatically transcribing handwritten entries into searchable digital records.\n\nThis project makes historical census information more accessible to members of the public for genealogical research and historical studies. The AI system recognizes handwritten text from the original census documents and converts it into readable, indexed data. Because this project involves personal information from historical census records, Library and Archives Canada has implemented safeguards to protect privacy while making this important historical resource publicly available.\n\nThe system is currently in production and available for public use. Users should be aware that the transcription is performed through automated AI technology developed by Ancestry, which means there may be occasional errors in the conversion of handwritten text. Library and Archives Canada works with its partners to continuously improve accuracy and ensure the historical record is preserved effectively.",[],{"purposes":3575,"decision_types":3578,"accountable":3580},[3576,3577],{"id":874,"title":234,"icon":231,"key":234},{"id":814,"title":314,"icon":312,"key":314},[3579],{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":3581,"icon":75,"key":3581},"Library and Archives Canada (LAC)",{"id":3583,"headline":3584,"subtitle":12,"intro_body":3585,"labels":3586,"dtpr_summary":3587},"b76efbe9-3312-41d6-bcab-6effef12ba86","Automated Study Permit Application Review","Immigration, Refugees and Citizenship Canada (IRCC) uses an AI system to help review study permit applications from international students. The system processes applications from applicants of different nationalities, including those from Saudi Arabia and India, to assess their eligibility for study permits in Canada.\n\nThe AI system reviews key documentation submitted with applications, including proof of identity, evidence of financial sufficiency, and interview records. This automated assessment helps IRCC staff process applications more efficiently while maintaining consistent evaluation standards across different application types.\n\nThis system is used by Government of Canada employees involved in study permit processing. Please note: This system processes personal information from applicants, including identity documents and financial records. Citizens have rights regarding access to their data, understanding how decisions are made, and contesting outcomes that affect them.",[],{"purposes":3588,"decision_types":3590,"accountable":3592},[3589],{"id":1385,"title":279,"icon":277,"key":279},[3591],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":850,"icon":69,"key":850},{"id":3594,"headline":3595,"subtitle":12,"intro_body":3596,"labels":3597,"dtpr_summary":3598},"5ab1bd33-5608-4c38-a78a-d20d458daabb","AI-Powered Trademark Application Pre-Assessment","The Canadian Intellectual Property Office uses an artificial intelligence system to automatically analyze goods and services descriptions in new trademark applications. This system detects potential issues before formal examination and suggests appropriate Nice classification codes, helping applicants correct deficiencies early in the process.\n\nWhen you submit a trademark application, the system automatically reviews your goods and services descriptions and generates a pre-assessment letter with recommendations. For existing trademarks being renewed, the system suggests appropriate Nice classes if the original classification is unclear. This automated analysis has helped the Office process applications faster, reduce backlogs, and maintain consistent examination quality.\n\nThis system does not use or store personal information about applicants. The system is currently in production and is used by members of the public applying for trademark protection. The AI-powered pre-assessment is one step in the examination process—applications still receive full human examination by trained patent examiners.",[],{"purposes":3599,"decision_types":3603,"accountable":3606},[3600,3601,3602],{"id":706,"title":294,"icon":292,"key":294},{"id":3236,"title":249,"icon":247,"key":249},{"id":704,"title":309,"icon":307,"key":309},[3604,3605],{"id":744,"title":745,"icon":746,"key":745},{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":3196,"icon":69,"key":3196},{"id":3608,"headline":3609,"subtitle":12,"intro_body":3610,"labels":3611,"dtpr_summary":3612},"3bb8abe4-6ace-4705-8ac6-c956514bf26f","AI-Powered Trademark Application Analysis System","Onscope is an artificial intelligence system used by Government of Canada employees to assist with trademark examination. The system uses advanced AI technologies including natural language processing, optical character recognition, and image recognition to compare newly-filed trademark applications against existing Canadian trademark registrations and applications. By automating parts of the comparison and analysis process, Onscope helps trademark examiners work more efficiently and consistently when determining whether new trademark applications meet the requirements for registration. The system is currently in production and has been operational since 2001. This system does not involve the collection or processing of personal information about individuals. The primary users are Government of Canada employees responsible for trademark examination.",[],{"purposes":3613,"decision_types":3615,"accountable":3617},[3614],{"id":704,"title":309,"icon":307,"key":309},[3616],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3619,"headline":3620,"subtitle":12,"intro_body":3621,"labels":3622,"dtpr_summary":3623},"795ec887-0ec3-4900-8372-e41e896eed18","AI-Powered Productivity Assistant for Government Employees","Microsoft 365 Copilot is a generative artificial intelligence tool being piloted by Innovation, Science and Economic Development Canada to assist Government of Canada employees with knowledge work tasks. The system integrates AI capabilities directly into commonly used Microsoft 365 applications including Word, Excel, PowerPoint, and Outlook, helping employees draft documents, create presentations, analyze data, and manage email more efficiently.\n\nThe tool uses enterprise content from SharePoint, Outlook, and OneDrive combined with Microsoft's large language models to provide personalized assistance. Since this pilot involves processing personal information, the department is carefully evaluating the system's performance and impacts before broader deployment. This is a limited trial conducted to explore how generative AI can improve government workplace productivity while maintaining appropriate safeguards.\n\nAs this system is still in development, the department continues to assess its effectiveness and ensure alignment with government privacy and security requirements.",[],{"purposes":3624,"decision_types":3627,"accountable":3629},[3625,3626],{"id":704,"title":309,"icon":307,"key":309},{"id":816,"title":239,"icon":237,"key":239},[3628],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3631,"headline":3632,"subtitle":12,"intro_body":3633,"labels":3634,"dtpr_summary":3635},"66ac5cb1-2ef3-471f-b1b1-eab866fe22ad","AI-Powered Clean Technology Investment Tracking","The Clean Technology Data Strategy uses artificial intelligence to automatically identify and classify federal investments in clean technology projects. By analyzing publicly disclosed grants and contributions data, the system aims to reduce the administrative burden of manual data collection and reporting, which previously required annual gathering from multiple programs.\n\nThis machine learning model identifies clean technology projects and categorizes them by subsector, enabling the government to better track federal clean technology investments and inform policy development. The system was developed by the Government of Canada using open-source software and trained on historical grant and contribution data. It is currently in production and used by Government of Canada employees to support program administration and policy decisions.\n\nImportantly, this system does not involve the collection or processing of personal information about individuals. It works exclusively with publicly available administrative data about government funding programs and projects.",[],{"purposes":3636,"decision_types":3638,"accountable":3640},[3637],{"id":704,"title":309,"icon":307,"key":309},[3639],{"id":709,"title":710,"icon":488,"key":710},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3642,"headline":3643,"subtitle":12,"intro_body":3644,"labels":3645,"dtpr_summary":3646},"c1033a2b-4123-4e16-85f1-3ad96c904251","AI Risk Assessment for Technician Oversight","The Recognized Technician Monitoring Program is an AI system developed by Innovation, Science and Economic Development Canada that assesses risk levels for service providers and individual technicians. The system collects performance data from inspections and qualitative information through web forms, then assigns risk scores to determine appropriate monitoring frequency. This pilot program is currently in development and is used by Government of Canada employees. The system does not involve personal information processing, instead focusing on organizational and professional performance metrics to identify areas requiring increased oversight.",[],{"purposes":3647,"decision_types":3649,"accountable":3651},[3648],{"id":704,"title":309,"icon":307,"key":309},[3650],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":3196,"icon":69,"key":3196},{"id":3653,"headline":3654,"subtitle":12,"intro_body":3655,"labels":3656,"dtpr_summary":3657},"0d88aa9b-cf32-4eff-bbd3-f2dbb6f48b33","AI-Powered Email Summary and Translation System","The Executive Correspondence Workflow Automation Tool is an AI-enabled application that helps Government of Canada employees process ministerial emails more efficiently. The system uses large language models to automatically generate bilingual summaries (in both English and French) of incoming correspondence, maintaining consistent formatting and tone. This reduces the manual effort required to process over 5,500 emails annually while improving accuracy and timeliness.\n\nThe tool works through a web-based interface where users input email text, select opening phrases, and specify the desired summary length. The system automatically detects the language of the email, creates summaries, and generates translations. All outputs are reviewed by human staff before use to ensure quality and mitigate potential risks.\n\n**Status:** Currently in production. **Primary Users:** Government of Canada employees. **Personal Information:** This system does not involve personal information—it processes only ministerial correspondence text. AI transparency notice: Yes, this system has been flagged for AI transparency.",[],{"purposes":3658,"decision_types":3661,"accountable":3663},[3659,3660],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[3662],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":3196,"icon":69,"key":3196},{"id":3665,"headline":3666,"subtitle":12,"intro_body":3667,"labels":3668,"dtpr_summary":3669},"26a80323-0814-4734-bd09-4b8739f49c3c","AI-Powered Parliamentary Meeting Transcription and Summarization","ParlBrief is an artificial intelligence system designed to automatically transcribe and summarize bilingual parliamentary committee meetings. The system was created to address a critical operational challenge: parliamentary affairs units across the Government of Canada were required to deliver meeting summaries to the Privy Council Office within three hours of each meeting's conclusion, resulting in significant overtime costs and staff burnout. Existing commercial tools could not handle the length and complexity of parliamentary meetings or adequately manage bilingual content.\n\nThe system uses a combination of proprietary and open-source language models to transcribe audio recordings, translate content between English and French, generate structured summaries, and assess the tone of discussions. By automating these time-intensive tasks, ParlBrief aims to reduce the manual workload on government employees, improve the timeliness and accuracy of meeting summaries, and enhance employee well-being across departments.\n\nParlBrief processes audio and video data from parliamentary committee meetings sourced from the House of Commons website and the ParlVU recording system. The system does not involve the processing of personal information about individuals. It is currently in development and is being deployed for use by Government of Canada employees who work in parliamentary affairs units.",[],{"purposes":3670,"decision_types":3672,"accountable":3674},[3671],{"id":704,"title":309,"icon":307,"key":309},[3673],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":3196,"icon":69,"key":3196},{"id":3676,"headline":3677,"subtitle":12,"intro_body":3678,"labels":3679,"dtpr_summary":3680},"1bd7bab7-7f65-4780-b863-8bd2caa28685","AI-Powered Document Declassification and Redaction","The Declassification and Redaction Tool is an AI-based system developed by the Government of Canada to assist with Access to Information and Privacy (ATIP) requests. The tool uses multiple AI models combined with human oversight to identify and redact sensitive information from government documents before they are released to the public. This system helps streamline the document review process while ensuring that protected information remains confidential.\n\nThe tool is currently in development and uses non-production and publicly available documents for testing. Once deployed in production, it will process documents containing personal information and will be classified as Protected B, Medium Integrity, Medium Availability (Pro B MM). Primary users include Government of Canada employees who handle ATIP requests and document declassification. Because this system processes sensitive government information and personal data, it includes human-in-the-loop review to ensure accuracy and appropriate redaction decisions.\n\nKey transparency information: This system involves personal information processing, includes mandatory human review of AI recommendations, and follows strict classification protocols. Users should understand that while AI assists in identifying redactable content, final decisions about what information is released remain subject to human review and legal requirements under Canadian access to information legislation.",[],{"purposes":3681,"decision_types":3683,"accountable":3685},[3682],{"id":758,"title":274,"icon":272,"key":274},[3684],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":3686,"icon":75,"key":3686},"Department of National Defence (DND)",{"id":3688,"headline":3689,"subtitle":12,"intro_body":3690,"labels":3691,"dtpr_summary":3692},"c932ca57-ca7d-4909-aa14-0403e18ae361","Automated Healthcare Form Classification","Veterans Affairs Canada developed an artificial intelligence system to automatically identify and classify forms submitted through its healthcare provider portal. The system analyzes documents received from healthcare providers and determines their form type, which helps reduce the need for manual administrative processing by staff. This system was used by Government of Canada employees to streamline document handling workflows. The system is currently retired and no longer in active use. This system does not involve processing personal information.",[],{"purposes":3693,"decision_types":3695,"accountable":3698},[3694],{"id":704,"title":309,"icon":307,"key":309},[3696],{"id":709,"title":3697,"icon":488,"key":3697},"Document Classification",{"id":748,"title":1132,"icon":69,"key":1132},{"id":3700,"headline":3701,"subtitle":12,"intro_body":3702,"labels":3703,"dtpr_summary":3704},"f8c16853-0b53-4262-9651-5f8bdfb3be8e","AI-Powered Insolvency Anomaly Detection System","The Debtor Detection Anomaly System is an artificial intelligence tool used by Innovation, Science and Economic Development Canada to identify unusual patterns and anomalies in bankruptcy and insolvency filings submitted to the Office of the Superintendent of Bankruptcy. The system uses unsupervised machine learning to flag high-risk cases for further manual review by government analysts, helping to protect the integrity of Canada's insolvency system.\n\nThis system supports human decision-making rather than making automated decisions on its own. It complements existing oversight processes including manual selection, random compliance reviews, and referrals from Licensed Insolvency Trustees. Analysts use the system's insights to improve risk-based oversight and better allocate resources to cases that may require closer examination.\n\nThe system is currently in production and is used by Government of Canada employees. It does not process personal information and serves as a tool to enhance the efficiency and effectiveness of insolvency compliance monitoring.",[],{"purposes":3705,"decision_types":3710,"accountable":3712},[3706,3707],{"id":704,"title":309,"icon":307,"key":309},{"id":3708,"title":3709,"icon":488,"key":3709},"risk_assessment_oversight","Risk-Based Oversight and Compliance Assessment",[3711],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3714,"headline":3715,"subtitle":12,"intro_body":3716,"labels":3717,"dtpr_summary":3718},"93e5702f-8a88-4fc6-a74c-e622432aa57f","Confidential AI Assistant for Employee Support Services","Ombot is an artificial intelligence-powered virtual assistant available on Innovation, Science and Economic Development Canada's intranet. It provides employees with confidential, private access to information about the Ombuds Office services without fear of exposure. The system was created to address employee concerns about privacy and reduce barriers to accessing employee support services, particularly in sensitive situations.\n\nThe system uses generative artificial intelligence and natural language processing to have conversations with employees in both English and French, providing accurate, real-time answers about Ombuds services sourced from a controlled knowledge base. Ombot is designed for Government of Canada employees and is currently in production. The system does not collect or process personal information about users.\n\nOmbot includes safeguards and governance measures to ensure privacy, safety, and responsible use. The goal is to increase employee trust in support services and enable the system to be deployed across multiple departments as a scalable \"bot-in-a-box\" model.",[],{"purposes":3719,"decision_types":3722,"accountable":3724},[3720,3721],{"id":874,"title":234,"icon":231,"key":234},{"id":816,"title":239,"icon":237,"key":239},[3723],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3726,"headline":3727,"subtitle":12,"intro_body":3728,"labels":3729,"dtpr_summary":3730},"4eeec4cb-e5dc-4821-85c8-f970b40a36e0","AI-Powered Spectrum Licence Information Extraction","This AI system automatically extracts spectrum licence conditions from regulatory documents and presents them in a structured, machine-readable format. Rather than requiring time-consuming manual review by specialists, the system uses advanced language models to identify, organize, and structure critical regulatory information from unstructured documents and sector websites.\n\nThe system is currently in development and is being created by the Government of Canada (Innovation, Science and Economic Development Canada) to support GC employees working in the Spectrum and Telecommunications Sector. By automating information extraction, the system aims to improve efficiency and accuracy while enabling faster access to essential licence conditions that inform evidence-based decision-making. This system does not involve personal information and processes only publicly available regulatory documents.",[],{"purposes":3731,"decision_types":3734,"accountable":3736},[3732,3733],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[3735],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3738,"headline":3739,"subtitle":12,"intro_body":3740,"labels":3741,"dtpr_summary":3742},"6c0de37f-dd28-4534-a8b8-49bc3095fd98","AI-Powered Spectrum Data Quality Verification","This artificial intelligence system automatically detects and labels errors or anomalies in spectrum licence site data submitted by wireless service providers to Innovation, Science and Economic Development Canada. The system uses machine learning to identify data quality issues that would traditionally require time-consuming manual review by government staff.\n\nThe system is designed to improve the accuracy, consistency, and speed of data validation for spectrum management and regulatory compliance. By automating anomaly detection, the system enables regulators to identify compliance issues more quickly and make better-informed decisions about spectrum allocation and management. This system is currently in development and does not involve the processing of personal information about individuals.\n\nThe system is used by Government of Canada employees who work in spectrum management and regulatory oversight. As a government-to-business system, it does not directly affect members of the public, but it supports the regulatory infrastructure that ensures fair and efficient management of Canada's wireless spectrum resources.",[],{"purposes":3743,"decision_types":3746,"accountable":3748},[3744,3745],{"id":3067,"title":3068,"icon":488,"key":3068},{"id":758,"title":274,"icon":272,"key":274},[3747],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3750,"headline":3751,"subtitle":12,"intro_body":3752,"labels":3753,"dtpr_summary":3754},"bbc1e1ed-737d-4eff-8af9-e5d4e632194d","Automating Web Accessibility and Content Standards","The AI-based Web Accessibility Review and Enhancement (AWARE) system is a pilot project developed by Innovation, Science and Economic Development Canada to automate and optimize web publishing workflows. The system converts various document formats (Word, PDF, HTML, Excel, CSV, and images) into compliant HTML5 content while improving accessibility standards.\n\nThis system is designed for Government of Canada employees who publish web content. It generates clean, accessible code by converting and processing multi-format documents, facilitating integration with content management systems like Drupal, and supporting language translation. The system does not collect or process personal information about citizens or external users.\n\nAs of now, this system is in development. The Government of Canada is committed to transparency about how this AI tool works, including how it processes your documents and what technical measures ensure your content meets accessibility standards.",[],{"purposes":3755,"decision_types":3758,"accountable":3760},[3756,3757],{"id":874,"title":234,"icon":231,"key":234},{"id":816,"title":239,"icon":237,"key":239},[3759],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3762,"headline":3763,"subtitle":12,"intro_body":3764,"labels":3765,"dtpr_summary":3766},"f992fc87-bd04-4e79-a786-a5dfcea568d2","AI Risk Assessment for Dangerous Goods Transport","This AI system has been developed to help Transport Canada assess and manage the risks associated with dangerous goods transportation operations. The system analyzes large datasets of past transportation incidents to identify patterns and leading indicators that could signal emerging safety risks. By processing historical incident data, the system helps transport safety officials better understand what conditions and factors are most likely to result in dangerous goods incidents, enabling more proactive risk management and resource allocation.\n\nThe system is used by Government of Canada employees involved in transportation safety oversight and regulation. It does not process personal information about individuals, focusing instead on incident data, operational conditions, and safety metrics. The system's primary function is to support decision-making and planning efforts to prevent dangerous goods transportation incidents and protect public safety.",[],{"purposes":3767,"decision_types":3769,"accountable":3774},[3768],{"id":704,"title":309,"icon":307,"key":309},[3770,3771],{"id":911,"title":912,"icon":913,"key":912},{"id":3772,"title":3773,"icon":488,"key":3773},"hazmat_operational_risk_patterns","Hazardous Materials Operational Risk Pattern Recognition",{"id":748,"title":965,"icon":69,"key":965},{"id":3776,"headline":3777,"subtitle":12,"intro_body":3778,"labels":3779,"dtpr_summary":3780},"248d85ae-fcf5-4305-8c5e-6d466a63bc99","AI-Powered Public Opinion Research Analysis","This system analyzes public opinion research responses using artificial intelligence to improve the speed and consistency of qualitative analysis. Developed by Innovation, Science and Economic Development Canada, it applies advanced natural language processing and large language models to understand patterns and themes in structured and semi-structured research data, including responses from Library and Archives Canada studies.\n\nThe system is currently in development as a pilot project. It is designed for use by Government of Canada employees who conduct public opinion research and analysis. The system does not involve the processing of personal information about individuals—it focuses on analyzing aggregate research responses to extract insights and themes that support government decision-making.\n\nThis AI system helps reduce the resource-intensive manual work traditionally required for qualitative analysis, allowing analysts to work more efficiently while maintaining high-quality, consistent results. By automating routine analytical tasks, the system frees up human analysts to focus on interpretation, validation, and ensuring findings are accurately contextualized for policy development.",[],{"purposes":3781,"decision_types":3783,"accountable":3785},[3782],{"id":704,"title":309,"icon":307,"key":309},[3784],{"id":801,"title":802,"icon":488,"key":802},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3787,"headline":3788,"subtitle":12,"intro_body":3789,"labels":3790,"dtpr_summary":3791},"6f4b43fb-e166-40b3-b917-17f9d401034e","AI-Powered Competition Enforcement Analysis Platform","COMPASS is a secure, generative artificial intelligence platform developed by Innovation, Science and Economic Development Canada to support competition enforcement and market analysis. The system processes large volumes of sensitive and confidential information—including consultation feedback, market studies, legal texts, and competition-related digital sources—to identify patterns, trends, and insights that support complex investigations and legal analysis.\n\nThe platform enhances analytical capabilities by leveraging large language models to perform advanced text analysis, summarization, and pattern detection. This enables faster and more efficient identification of key information in complex cases, reducing the manual effort previously required. COMPASS is currently in production and is used by Government of Canada employees who work on competition policy and enforcement matters.\n\nIMPORTANT: This system does not process personal information about individuals. It focuses exclusively on organizational and market-level data related to competition enforcement. The system maintains Protected B security standards to protect the confidentiality of sensitive case documents and consultations.",[],{"purposes":3792,"decision_types":3795,"accountable":3797},[3793,3794],{"id":704,"title":309,"icon":307,"key":309},{"id":758,"title":274,"icon":272,"key":274},[3796],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3196,"icon":69,"key":3196},{"id":3799,"headline":3800,"subtitle":12,"intro_body":3801,"labels":3802,"dtpr_summary":3803},"f3a95d3d-ecc7-4009-8b70-428e32a5955e","AI-Powered Name Content Screening System","ISCAN is an internal artificial intelligence tool developed by Corporations Canada to assist in reviewing name filings for Individuals with Significant Control (ISC). The system uses machine learning and natural language processing to automatically identify names that may be potentially inappropriate, non-genuine, or offensive, flagging them for human review by staff members. This helps improve operational efficiency and maintain data integrity in the ISC registry.\n\nThe system is currently in development and involves processing of personal information. It is used by Government of Canada employees and does not make final administrative decisions—all flagged cases are reviewed and validated by human staff before any action is taken. This ensures that the system serves as a screening tool to support decision-making rather than replacing human judgment.",[],{"purposes":3804,"decision_types":3807,"accountable":3809},[3805,3806],{"id":706,"title":294,"icon":292,"key":294},{"id":758,"title":274,"icon":272,"key":274},[3808],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3811,"headline":3812,"subtitle":12,"intro_body":3813,"labels":3814,"dtpr_summary":3815},"69dd567b-0dca-4e64-970b-2ce0ac3c307a","AI-Powered Threat Detection Query Generation","The Cyber Threat Hunting System is an AI-powered tool developed by the Government of Canada to accelerate the creation of advanced security queries. Using generative AI models like Anthropic Claude and Copilot, the system helps security professionals quickly develop Kusto Query Language queries to detect potential cyber threats in internal security logs. This significantly reduces the time and complexity of writing advanced threat detection queries, particularly when correlating data across multiple security sources.\n\nThe system is currently in production and is used by Government of Canada employees to enhance cybersecurity operations. The system does not process personal information; it focuses exclusively on security event logs and threat detection queries. Security teams interact with the system by providing prompts, and the AI generates optimized query code that can be executed against internal security logs collected through Security Information and Event Management systems.",[],{"purposes":3816,"decision_types":3819,"accountable":3821},[3817,3818],{"id":758,"title":274,"icon":272,"key":274},{"id":737,"title":319,"icon":317,"key":319},[3820],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3823,"headline":3824,"subtitle":12,"intro_body":3825,"labels":3826,"dtpr_summary":3827},"8d7d467e-2ae6-4857-8c3d-fe1cd83dcef7","AI-Powered Cybersecurity Threat Detection","The Entity and User Behavior Analytics system is an artificial intelligence tool deployed by Innovation, Science and Economic Development Canada to enhance cybersecurity across the department's information technology environment. The system monitors and analyzes patterns of user and entity activity to detect abnormal or suspicious behavior that may indicate cybersecurity threats, insider risks, or compromised accounts.\n\nThis system uses machine learning and large language models to identify anomalies in system logs, network activity, and security event data. When unusual patterns are detected, the system presents visual trends and security alerts to enable proactive threat detection and response. The system is currently in production and is used by Government of Canada employees to strengthen the department's security posture.\n\nImportant to know: This system does not involve the collection or processing of personal information. It operates exclusively within the department's internal IT infrastructure and is designed to protect government systems and data from security threats.",[],{"purposes":3828,"decision_types":3830,"accountable":3832},[3829],{"id":737,"title":319,"icon":317,"key":319},[3831],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3196,"icon":69,"key":3196},{"id":3834,"headline":3835,"subtitle":12,"intro_body":3836,"labels":3837,"dtpr_summary":3838},"ca62d658-d07e-4d78-87a2-ac8ac0bb9e4b","AI-Powered Policy Information Assistant","Polly is an AI-powered chatbot developed by the Royal Canadian Mounted Police (RCMP) to help government employees quickly access policy information. The system is currently in production and is used by Government of Canada employees who need to reference official RCMP policy manuals. Polly streamlines the process of finding policy content by allowing employees to ask questions in natural language and receive relevant information from official policy documents.\n\nThe system does not collect or process personal information about its users. It operates as an internal tool that connects employees to existing policy documentation, making policy information more accessible and easier to search through. Polly uses Microsoft technology infrastructure to deliver this service.\n\nAs a government AI system, Polly is subject to transparency and accountability requirements. This page provides information about how the system works, what data it uses, and how it makes decisions about which policy information to return to users.",[],{"purposes":3839,"decision_types":3841,"accountable":3843},[3840],{"id":706,"title":294,"icon":292,"key":294},[3842],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3844,"icon":69,"key":3844},"Royal Canadian Mounted Police (RCMP)",{"id":3846,"headline":3847,"subtitle":12,"intro_body":3848,"labels":3849,"dtpr_summary":3850},"b448f399-013c-425d-8c7d-8fe83f1fa6b9","AI-Powered Yeast Cell Image Analysis","YeastNet is an artificial intelligence system developed by the National Research Council Canada in collaboration with the University of Ottawa that automatically segments and tracks yeast cells in microscope images for biomedical research applications. The system is currently in development as a research prototype that has been published in peer-reviewed literature. This technology is designed to improve the efficiency and accuracy of high-throughput biology experiments by automating the analysis of live-cell images, which would otherwise require manual processing.\n\nYeastNet does not involve the collection or processing of personal information. The system is used by both government employees and members of the public research community who conduct biomedical experiments. Users interact with the system by providing microscope images of yeast cells, and the AI automatically identifies and tracks individual cells within those images, extracting quantitative data for downstream analysis.\n\nThe system uses deep learning algorithms trained on microscope images to recognize yeast cell structures and boundaries. Researchers can use YeastNet to accelerate their experimental workflows, reduce manual annotation time, and generate consistent, reproducible measurements of cellular behavior in biomedical research applications.",[],{"purposes":3851,"decision_types":3853,"accountable":3855},[3852],{"id":814,"title":314,"icon":312,"key":314},[3854],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":3856,"icon":75,"key":3856},"National Research Council Canada (NRC)",{"id":3858,"headline":3859,"subtitle":12,"intro_body":3860,"labels":3861,"dtpr_summary":3862},"9d547148-90ac-4cd4-b370-ddde8a3f1556","AI-Powered Debt Relief Guidance System","The Debt Questionnaire is an AI-powered decision-support tool designed to help Canadians facing financial distress explore debt relief options. Developed by Innovation, Science and Economic Development Canada, this system analyzes historical bankruptcy and insolvency data to identify patterns and provide personalized guidance based on your financial profile.\n\nThe system works by comparing your financial information with data from previous insolvency filings, allowing it to suggest what type of debt relief options others with similar financial situations have chosen. This is a decision-support tool, not an automated decision-maker—it provides information to help you make informed choices about your financial future, but you remain in control of all decisions.\n\n**Status:** In production | **Primary Users:** Members of the public | **Personal Information Used:** No | This system is designed with transparency in mind, giving you access to AI-driven insights while maintaining your autonomy in financial decision-making.",[],{"purposes":3863,"decision_types":3865,"accountable":3867},[3864],{"id":706,"title":294,"icon":292,"key":294},[3866],{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3869,"headline":3870,"subtitle":12,"intro_body":3871,"labels":3872,"dtpr_summary":3873},"5f7f228f-b610-46a3-8fc9-449bea3123c6","AI-Powered Business Name Registration Prediction System","The NUANS Business Name Submission Prediction and Scoring Filings Improvement Project is a planned artificial intelligence system being developed by Innovation, Science and Economic Development Canada to help predict whether business name registration requests will be accepted across Canadian jurisdictions. This system is currently in development and is not yet deployed.\n\nThis AI system will assist members of the public who submit business name registration requests by providing predictions about the likelihood of acceptance. The system does not collect or process personal information about individuals. By analyzing business name submissions and their outcomes across different jurisdictions, the system aims to improve the efficiency and predictability of the business registration filing process.\n\nAs this system is still under development, the specific capabilities, data sources, and technical details are yet to be determined. The Government of Canada is committed to transparency regarding this AI system and will continue to provide updates as the project progresses.",[],{"purposes":3874,"decision_types":3877,"accountable":3879},[3875,3876],{"id":704,"title":309,"icon":307,"key":309},{"id":3236,"title":249,"icon":247,"key":249},[3878],{"id":725,"title":726,"icon":727,"key":726},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3881,"headline":3882,"subtitle":12,"intro_body":3883,"labels":3884,"dtpr_summary":3885},"3af718c1-0a1a-4dcc-9c99-75a843adeb5f","AI-Powered Business Service Recommendations","The Canada Business App helps Canadian business owners discover and access federal, provincial, and territorial services to start and grow their businesses. Starting in development, the app will use artificial intelligence to provide personalized service recommendations tailored to each business's unique profile. Rather than requiring users to manually navigate thousands of government resources, the AI system will intelligently match businesses with the programs, financing options, licensing requirements, and permits most relevant to their needs.\n\nThis system is being developed by Innovation, Science and Economic Development Canada and is intended for members of the public who are Canadian business owners. The AI does not process personal information—it works with curated, unclassified datasets about government services, financing programs, innovation initiatives, and regulatory requirements. By using large language models to understand business contexts and match them to appropriate resources, the system aims to reduce the time and effort required to find the right government support.",[],{"purposes":3886,"decision_types":3888,"accountable":3891},[3887],{"id":816,"title":239,"icon":237,"key":239},[3889,3890],{"id":835,"title":836,"icon":837,"key":836},{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":3196,"icon":75,"key":3196},{"id":3893,"headline":3894,"subtitle":12,"intro_body":3895,"labels":3896,"dtpr_summary":3897},"d9733e4e-3031-485a-93e2-000ea92080ea","AI-Powered Liquid Chromatography Experiment Monitoring","QuaLC is an artificial intelligence system developed by the National Research Council Canada in collaboration with the University of Ottawa. This system creates a 'digital shadow' of liquid chromatography experiments, continuously monitoring pressure profiles to detect potential problems before they occur. The system provides early warning notifications to help researchers identify and address experimental issues in real-time, improving the reliability and efficiency of laboratory work.\n\nThe system is currently in development and does not collect or process personal information. It is designed for use by both government employees and members of the public conducting liquid chromatography research. By analyzing pressure patterns from chromatography equipment, QuaLC helps prevent failed experiments and reduces wasted resources, making scientific research more efficient and productive.\n\nThe prototype is being prepared for publication and will be hosted on complimet.ca, Canada's central repository for compliant AI systems. This transparency initiative ensures that the research community and the public can understand how this AI tool works and how it supports laboratory science.",[],{"purposes":3898,"decision_types":3900,"accountable":3902},[3899],{"id":706,"title":294,"icon":292,"key":294},[3901],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3856,"icon":69,"key":3856},{"id":3904,"headline":3905,"subtitle":12,"intro_body":3906,"labels":3907,"dtpr_summary":3908},"79f3ebd5-a9f9-44ff-a6a6-def96b61985e","AI-Powered Inspection Scheduling for Fair Market Compliance","This AI system helps Measurement Canada determine where and when inspections should occur to monitor compliance with the Weights and Measures Act. By analyzing historical inspection records and compliance data, the algorithm uses predictive analytics to identify high-risk areas and overdue devices, improving the efficiency and fairness of enforcement activities across Canadian marketplaces.\n\nThe system is currently in production and is used by Government of Canada employees. It does not involve personal information about individuals. The algorithm is designed to make enforcement activities more strategic and equitable by focusing inspection resources where they are most needed based on risk patterns identified in the data.",[],{"purposes":3909,"decision_types":3911,"accountable":3915},[3910],{"id":758,"title":274,"icon":272,"key":274},[3912,3913],{"id":725,"title":726,"icon":727,"key":726},{"id":1605,"title":3914,"icon":488,"key":3914},"Anomaly Detection Decision",{"id":748,"title":3196,"icon":69,"key":3196},{"id":3917,"headline":3918,"subtitle":12,"intro_body":3919,"labels":3920,"dtpr_summary":3921},"0ee8daa3-1120-445f-a0e3-7cd7763a722c","Automated Document Classification for Digital Archives","Library and Archives Canada developed an AI textual analysis tool as a pilot project to automatically categorize and create metadata for digital archival materials. The system analyzes up to 25,000 digital files to automatically classify documents and integrate them into the institution's information architecture, improving discoverability and organization of historical records.\n\nThis system was primarily used by Government of Canada employees to enhance archival management workflows. The system does not process personal information, focusing instead on document classification and metadata creation tasks. This pilot project has been retired and is no longer in active use.",[],{"purposes":3922,"decision_types":3925,"accountable":3927},[3923,3924],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[3926],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":3581,"icon":69,"key":3581},{"id":3929,"headline":3930,"subtitle":12,"intro_body":3931,"labels":3932,"dtpr_summary":3933},"27c34a69-82ad-4895-91ec-cba17435db10","AI-Powered Historical Document Transcription System","This AI system uses Transkribus technology to automatically transcribe historical Canadian documents, including newspaper indexes and government Order-in-Council Registers from 1925 to 1940. The system employs Intelligent Character Recognition (ICR) and Handwritten Text Recognition (HTR) models developed by READ-COOP to convert images of handwritten and printed text into searchable digital text. This pilot project, now retired, was developed by Library and Archives Canada in collaboration with the EU-funded READ project to improve public access to historical records and enable better digital preservation.\n\nThe system processes historical records that may contain personal information about individuals mentioned in the documents. The transcription results are made available to both Library and Archives Canada employees and the general public to enhance research capabilities and accessibility to Canada's historical heritage. While the project has been retired, understanding how this system operated provides insights into the application of AI technologies for cultural heritage digitization.",[],{"purposes":3934,"decision_types":3938,"accountable":3940},[3935,3936,3937],{"id":874,"title":234,"icon":231,"key":234},{"id":706,"title":294,"icon":292,"key":294},{"id":814,"title":314,"icon":312,"key":314},[3939],{"id":801,"title":802,"icon":488,"key":802},{"id":712,"title":3581,"icon":75,"key":3581},{"id":3942,"headline":3943,"subtitle":12,"intro_body":3944,"labels":3945,"dtpr_summary":3946},"1c71fafc-47cd-4249-b268-5ab96f982748","AI-Powered Metadata Generation for Digital Archives","Library and Archives Canada developed a proof of concept system in partnership with Oproma to automatically generate and enrich metadata descriptions for digitized government publications. The system processes digital documents to create structured metadata that improves discoverability and organization of archival materials.\n\nThis system is designed for use by Government of Canada employees who manage digital collections and archival materials. The metadata enrichment process helps organize and describe government publications more efficiently, making them easier to find and understand through library systems and archives.\n\nPlease note: This is a retired proof of concept system. It does not process personal information. The system uses artificial intelligence to analyze document content and generate descriptive metadata rather than making decisions about individuals or allocating resources.",[],{"purposes":3947,"decision_types":3949,"accountable":3951},[3948],{"id":706,"title":294,"icon":292,"key":294},[3950],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3581,"icon":69,"key":3581},{"id":3953,"headline":3954,"subtitle":12,"intro_body":3955,"labels":3956,"dtpr_summary":3957},"eb7e60c1-af47-4e24-bc78-db583be3364b","Digitizing Historical Immigration Records","This system uses AWS Textract, an optical character recognition (OCR) technology, to extract and organize information from over 11,000 pages of Canada Gazette immigration records. The project was developed by Library and Archives Canada to make historical immigration documents more accessible for genealogy research and public record searches.\n\nThe system automatically reads text and data from scanned historical documents, structures the information in searchable formats, and makes it available through an ElasticSearch database. This allows researchers and the general public to quickly find relevant immigration information without manually reviewing thousands of pages of historical archives.\n\nPlease note: This system has been retired and is no longer in active use. However, the digitized records remain available for research purposes. The system processes personal information such as names, dates, and immigration details contained in historical government records. Both Library and Archives Canada employees and members of the public can access the indexed information for genealogical research.",[],{"purposes":3958,"decision_types":3961,"accountable":3963},[3959,3960],{"id":814,"title":314,"icon":312,"key":314},{"id":706,"title":294,"icon":292,"key":294},[3962],{"id":801,"title":802,"icon":488,"key":802},{"id":748,"title":3581,"icon":69,"key":3581},{"id":3965,"headline":3966,"subtitle":12,"intro_body":3967,"labels":3968,"dtpr_summary":3969},"96363945-a399-4e10-a347-171e785fd8df","AI-Powered Extraction of Clinical Trial Evidence","ExaCT is an artificial intelligence system developed by the National Research Council Canada that automatically extracts key information from published clinical trial research. The system helps medical researchers and clinicians quickly locate and identify important characteristics of randomized controlled trials from scientific journal articles, reducing the time-consuming manual work required for systematic reviews, meta-analyses, and evidence synthesis studies.\n\nClinical trials represent one of the most important sources of evidence for guiding evidence-based medical practice and designing new research. However, this valuable information is typically buried in the free text of published articles, making it labor-intensive to extract manually. ExaCT partially automates this extraction process, allowing researchers to focus on analysis rather than data collection.\n\nThis system does not process personal information about individuals. It is designed for use by members of the public, researchers, and medical professionals who need to analyze clinical trial evidence. The system is currently retired but represents an important example of how AI can support evidence-based medicine and accelerate the pace of medical research.",[],{"purposes":3970,"decision_types":3972,"accountable":3974},[3971],{"id":814,"title":314,"icon":312,"key":314},[3973],{"id":801,"title":802,"icon":488,"key":802},{"id":712,"title":3856,"icon":75,"key":3856},{"id":3976,"headline":3977,"subtitle":12,"intro_body":3978,"labels":3979,"dtpr_summary":3980},"6cdf5362-ff96-494a-a734-0a7078914f4d","Canadian AI Chatbot for Government Employees","CANChat is a generative AI chatbot system developed by Shared Services Canada and trained on Canadian data to support Government of Canada employees in their daily work. The system uses a large language model trained on 50 terabytes of unclassified Canadian government information, including content from the Government of Canada Web Archive, internal service desk articles, intranet resources, and Library and Archives Canada procedures. This approach ensures the system operates with Canadian data sovereignty while being hosted in Canadian data centres.\n\nThe chatbot is designed to enhance employee productivity by assisting with text drafting, research support, and knowledge management tasks. The system is currently in production and is available to GC employees. Importantly, CANChat does not process personal information about individuals—it focuses exclusively on supporting government work with unclassified data. The system represents Canada's commitment to digital independence and reducing reliance on foreign AI platforms for government operations.",[],{"purposes":3981,"decision_types":3984,"accountable":3987},[3982,3983],{"id":2116,"title":2117,"icon":488,"key":2117},{"id":704,"title":309,"icon":307,"key":309},[3985],{"id":3986,"title":836,"icon":488,"key":836},"text_generation",{"id":712,"title":3988,"icon":75,"key":3988},"Shared Services Canada (SSC)",{"id":3990,"headline":3991,"subtitle":12,"intro_body":3992,"labels":3993,"dtpr_summary":3994},"517dac42-9854-4c19-9d40-8e71541307ca","Automated Transcription of Indigenous Affairs Records","The RG10 Transcription System uses artificial intelligence to automatically transcribe approximately 6 million pages of historical records from Canada's Department of Indian Affairs and Northern Development. These records are crucial to understanding Indigenous history in Canada. The system employs Intelligent Character Recognition (ICR) and Handwritten Text Recognition (HTR) technology to convert images of historical documents into searchable, readable text.\n\nThis system affects members of the public by making these important historical records more accessible and easier to search. Instead of manually reading through images of old documents, people can now search for specific names, places, and topics within the transcribed text. The transcription technology was developed by Transkribus (READ-COOP), an organization based at the University of Innsbruck, in collaboration with Library and Archives Canada and the Canadian Research Knowledge Network.\n\nPlease note: This system is currently retired and no longer in active use. The system involved processing of personal information contained within the historical records being transcribed.",[],{"purposes":3995,"decision_types":3998,"accountable":4000},[3996,3997],{"id":874,"title":234,"icon":231,"key":234},{"id":814,"title":314,"icon":312,"key":314},[3999],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":3581,"icon":69,"key":3581},{"id":4002,"headline":4003,"subtitle":12,"intro_body":4004,"labels":4005,"dtpr_summary":4006},"c6fae63e-e0f1-4d1b-b15b-79e6d73b44a2","AI-Powered Document Classification and Organization System","Library and Archives Canada (LAC) deployed an automated document classification system to manage approximately 10 million documents from legacy Network Shared Drives (NSD). This AI system automatically classifies documents, creates metadata, and identifies redundant, obsolete, or trivial information for removal, helping to streamline document management and integrate information architecture.\n\nThe system was developed through a competitive Request for Proposal process and is now retired. Government of Canada employees were the primary users of this system. This system processes personal information and has been notified to relevant oversight bodies. The system was developed by a vendor partner, Oproma, and integrates classified documents into the GCdocs platform for improved accessibility and organization.",[],{"purposes":4007,"decision_types":4009,"accountable":4011},[4008],{"id":704,"title":309,"icon":307,"key":309},[4010],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":3581,"icon":69,"key":3581},{"id":4013,"headline":4014,"subtitle":12,"intro_body":4015,"labels":4016,"dtpr_summary":4017},"317fe350-21df-4644-a693-cd18d040a4f4","AI Chatbot Answers Common Public Questions","The National Capital Commission operated a digital chatbot on Facebook Messenger to help answer frequently asked questions from members of the public. This AI system simulated human-like conversations to provide information and assistance to users who interacted with the commission through the popular messaging platform.\n\nThe chatbot was designed to handle common inquiries automatically, allowing the public to receive quick responses to routine questions without requiring direct contact with commission staff. The system processed user messages and generated responses based on pre-programmed knowledge about frequently asked topics.\n\nThis system has been retired and is no longer in active use. The chatbot did not involve the collection or processing of personal information beyond what is necessary for basic message routing on the Facebook Messenger platform.",[],{"purposes":4018,"decision_types":4020,"accountable":4022},[4019],{"id":706,"title":294,"icon":292,"key":294},[4021],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3123,"icon":69,"key":3123},{"id":4024,"headline":4025,"subtitle":12,"intro_body":4026,"labels":4027,"dtpr_summary":4028},"ba344b77-0554-4b98-9b40-af840956b2be","Arctic Sea Ice Forecasting System for Safe Shipping","The AI-based Sea-Ice Presence Forecasting Model is an artificial intelligence system developed by the National Research Council Canada in collaboration with the University of Waterloo to provide accurate and timely forecasts of sea ice conditions in the Canadian Arctic and other ice-infested waters. The system combines sea-ice model outputs with observational data using advanced statistical and machine learning methods to generate daily seasonal forecasts that support safe shipping operations.\n\nThis system affects maritime operators, shipping companies, and Arctic researchers who rely on accurate ice forecasts for tactical and strategic planning. The forecasts are integrated into the Canadian Arctic Shipping Risk Assessment System (CASRAS) and made available to both NRC employees and external stakeholders, including shipping companies and government agencies. The system does not process personal information and is designed specifically to improve maritime safety and operational decision-making in Arctic waters.\n\nAs a production system in active use, the model generates daily forecast products that help reduce risks associated with Arctic shipping by providing state-of-the-art predictions of harbor ice conditions and sea ice extent across different seasons.",[],{"purposes":4029,"decision_types":4032,"accountable":4036},[4030,4031],{"id":704,"title":309,"icon":307,"key":309},{"id":737,"title":319,"icon":317,"key":319},[4033],{"id":4034,"title":4035,"icon":488,"key":4035},"probability_based_decision_support","Probability-Based Decision Support",{"id":748,"title":3856,"icon":69,"key":3856},{"id":4038,"headline":4039,"subtitle":12,"intro_body":4040,"labels":4041,"dtpr_summary":4042},"30bfd1db-4379-416b-9ee5-af4bc335d0e4","AI-Powered Official Language Translation","DeepL Pro is an artificial intelligence-powered translation system deployed by the National Capital Commission to support clear and accurate translation between Canada's two official languages—English and French. The system is designed to assist Government of Canada employees in their daily work by providing high-quality machine translation capabilities.\n\nThis system processes text input in one official language and generates translated output in the other. Government employees who use this tool should understand that their translations are processed by DeepL's AI model. The system is currently in production and is actively being used across the organization.\n\nThe National Capital Commission is accountable for how this system is deployed and used. While the system does not involve the collection of personal information about individuals, employees should be aware that text they submit for translation is processed through the AI system.",[],{"purposes":4043,"decision_types":4046,"accountable":4048},[4044,4045],{"id":874,"title":234,"icon":231,"key":234},{"id":816,"title":239,"icon":237,"key":239},[4047],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3123,"icon":69,"key":3123},{"id":4050,"headline":4051,"subtitle":12,"intro_body":4052,"labels":4053,"dtpr_summary":4054},"7ba3f4fd-7f6d-454b-b9a5-d63331c39847","Automated Classification of LiDAR Data","This AI system automatically classifies features in LiDAR (Light Detection and Ranging) data collected across Canada. The system identifies and categorizes buildings, ground surfaces, water bodies, and other geographic features from aerial LiDAR scans and derived products. This automated classification helps Natural Resources Canada process vast amounts of geographic data more efficiently and consistently.\n\nThe system is currently in production and is used by Government of Canada employees to support natural resource management and mapping activities. The system does not process personal information, as it focuses on classifying geographic and physical features rather than individual data. The classification framework includes trained models, documentation, and guidance for continuous improvement as needed.",[],{"purposes":4055,"decision_types":4057,"accountable":4059},[4056],{"id":704,"title":309,"icon":307,"key":309},[4058],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":4060,"icon":69,"key":4060},"Natural Resources Canada (NRCan)",{"id":4062,"headline":4063,"subtitle":12,"intro_body":4064,"labels":4065,"dtpr_summary":4066},"88bf1058-3c98-480c-8053-04138fced2e7","AI Chatbot for Defence Policy Search","The Information Retrieval Chatbot, known as Long Wizard, is an artificial intelligence system currently in development by the Government of Canada's Department of National Defence. This chatbot is designed to help Government of Canada employees quickly search through and find answers within Department of National Defence and Canadian Armed Forces policy documents that are publicly available.\n\nThe system does not involve the collection or processing of personal information about individuals. Instead, it operates by analyzing publicly available policy documents to provide relevant answers to user queries about defence policies and procedures. When you interact with this chatbot, you are asking it to search through existing policy materials rather than providing personal data that the system will store or analyze.\n\nThis system is currently in the development phase, meaning it is still being built and tested before full deployment. The chatbot aims to improve access to important policy information for government employees by making it faster and easier to find specific answers within complex policy documents.",[],{"purposes":4067,"decision_types":4069,"accountable":4071},[4068],{"id":706,"title":294,"icon":292,"key":294},[4070],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3686,"icon":69,"key":3686},{"id":4073,"headline":4074,"subtitle":12,"intro_body":4075,"labels":4076,"dtpr_summary":4077},"15ecff20-7033-4567-bc25-d2145feff483","Video Frame Synthesis Technology","The Image Interpolation System is an AI technology developed by the National Film Board that synthesizes intermediate video frames between existing frames. This technology was explored during the development phase of a project but was ultimately not used in production. The system uses open-source algorithms to estimate and generate new frames that did not exist in the original video recording.\n\nThis system was tested by Government of Canada employees as part of research and development activities. The system is currently retired and no longer in active use. This technology does not involve the collection or processing of personal information about individuals.\n\nAs this was a development-phase technology that did not proceed to production, there is limited operational impact. The system demonstrates the National Film Board's exploration of emerging AI capabilities for creative and technical applications in film production.",[],{"purposes":4078,"decision_types":4080,"accountable":4082},[4079],{"id":814,"title":314,"icon":312,"key":314},[4081],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":4083,"icon":69,"key":4083},"National Film Board of Canada",{"id":4085,"headline":4086,"subtitle":12,"intro_body":4087,"labels":4088,"dtpr_summary":4089},"3cb8106c-d97d-41a8-80c2-a038b1cfc77c","AI Safety Enhancement for Advanced Driver Assistance","This AI system is being developed to improve vehicle safety by predicting driver intentions and actions before they occur. By analyzing driver movements, particularly eye gaze patterns, and aligning them with changes in the external environment, the system can enhance traditional advanced driver assistance systems (ADAS) with a broader understanding of what drivers are likely to do next.\n\nThe system works by processing multi-modal data—combining information from different sensors and cameras—to create predictive models of driver behavior. This extended prediction capability allows safety alerts to be triggered earlier and more accurately, helping prevent accidents before they happen. The technology is being co-developed by the National Research Council Canada and the University of Western Ontario.\n\nCurrently in development, this system does not involve the collection of personal information about drivers. The system is primarily intended for research and development purposes rather than direct use by employees or the general public. All processing focuses on real-time safety prediction without creating persistent personal records.",[],{"purposes":4090,"decision_types":4092,"accountable":4095},[4091],{"id":737,"title":319,"icon":317,"key":319},[4093],{"id":821,"title":4094,"icon":488,"key":4094},"Driver Behavior & Action Prediction",{"id":748,"title":3856,"icon":69,"key":3856},{"id":4097,"headline":4098,"subtitle":12,"intro_body":4099,"labels":4100,"dtpr_summary":4101},"449738b8-702e-449f-865c-5b9ec1a1bfd1","AI-Powered Legacy Code Modernization","The Code Conversion System is an artificial intelligence tool developed by the Government of Canada to automate the migration of legacy programming code to modern languages. The system uses generative AI and natural language processing to convert outdated codebases written in languages like COBOL, Fortran, or older versions of Java and C# into modern, maintainable languages such as Python, Java, or Go. This system is currently in development and is intended for use by Government of Canada employees. The tool does not involve the processing of personal information, focusing instead on technical code transformation to improve software modernization efforts across the federal government.",[],{"purposes":4102,"decision_types":4105,"accountable":4107},[4103,4104],{"id":704,"title":309,"icon":307,"key":309},{"id":814,"title":314,"icon":312,"key":314},[4106],{"id":1587,"title":1588,"icon":488,"key":1588},{"id":712,"title":3686,"icon":75,"key":3686},{"id":4109,"headline":4110,"subtitle":12,"intro_body":4111,"labels":4112,"dtpr_summary":4113},"a7cf452f-8db4-43fd-a6fd-d46e7aa20318","AI-Powered Budget Expenditure Forecasting System","The Predictive Expenditure Modelling Tool is a financial forecasting system developed by the Government of Canada to assist financial comptrollers and ADM (Finance) officers in predicting in-year budget expenditures. The tool analyzes historical financial data from previous years to identify patterns and generate accurate forecasts, helping government organizations better manage their budgets and financial planning.\n\nThis system is currently in development and is designed exclusively for use by Government of Canada employees responsible for financial management and budgeting. The tool does not process personal information and uses only non-publicly available Department of National Defence and Canadian Armed Forces financial data as input. By leveraging historical financial patterns, the system enables more informed decision-making and improved resource allocation across government operations.\n\nAs an in-development system used internally by financial professionals, the Predictive Expenditure Modelling Tool operates within controlled government environments where users have appropriate authorization to access sensitive financial data. The system is designed to enhance forecasting accuracy and support sound financial stewardship across the defence portfolio.",[],{"purposes":4114,"decision_types":4116,"accountable":4118},[4115],{"id":704,"title":309,"icon":307,"key":309},[4117],{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":712,"title":3686,"icon":75,"key":3686},{"id":4120,"headline":3266,"subtitle":12,"intro_body":4121,"labels":4122,"dtpr_summary":4123},"8f96d3c1-ca37-49b6-a84a-ec7ebb777041","The Translation Engine is an AI-based document translator developed by the Government of Canada for use by GC employees. This system is currently in development and uses multiple AI models to translate both text and voice documents while preserving all formatting from the original file. The system processes publicly available Department of National Defence and Canadian Armed Forces documents.\n\nThis system does not involve the collection or processing of personal information. It is designed to improve efficiency in document translation across Government of Canada operations by automating the translation process while maintaining document integrity and formatting.\n\nAs this system is still in development, ongoing evaluation and refinement are taking place to ensure it meets operational requirements and maintains quality standards for government document translation.",[],{"purposes":4124,"decision_types":4126,"accountable":4128},[4125],{"id":706,"title":294,"icon":292,"key":294},[4127],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":3686,"icon":75,"key":3686},{"id":4130,"headline":4131,"subtitle":12,"intro_body":4132,"labels":4133,"dtpr_summary":4134},"07832344-2e50-482e-81fb-3f2f6473f624","AI-Powered Data Classification for Security Compliance","This AI system automatically classifies government data according to security and retention policies established by the Department of National Defence. By analyzing documents and datasets, the system assigns appropriate security and retention classifications, helping reduce compliance risks and ensuring sensitive information is properly protected.\n\nThe system is used by Government of Canada employees who handle classified and sensitive information. The automated classification process streamlines compliance work while maintaining the security standards required for defence-related data. This system does not involve processing personal information about individuals—it focuses on classifying information based on its security sensitivity and required retention periods.\n\nThe automation reduces manual classification errors and ensures consistent application of security policies across the organization. Users receive clear classifications that guide how data should be stored, accessed, and eventually destroyed.",[],{"purposes":4135,"decision_types":4141,"accountable":4143},[4136,4137,4138],{"id":758,"title":274,"icon":272,"key":274},{"id":704,"title":309,"icon":307,"key":309},{"id":4139,"title":4140,"icon":488,"key":4140},"compliance_auditing_and_reporting","Compliance Auditing and Reporting",[4142],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":3686,"icon":69,"key":3686},{"id":4145,"headline":4146,"subtitle":12,"intro_body":4147,"labels":4148,"dtpr_summary":4149},"b88cd6fc-29bf-4950-9958-d0c6afd2cb2c","AI Tool for Industrial Energy and Emissions Optimization","EXPLORE is a machine learning software tool developed by Natural Resources Canada that helps industrial organizations reduce energy consumption and greenhouse gas emissions. The system connects to industrial databases, automatically cleans data, and develops predictive models to optimize manufacturing processes and monitor key performance indicators. This AI tool is currently in production and is used by both government employees and public sector industries.\n\nThe system works locally within each industry's own data infrastructure, meaning companies process their own operational data using EXPLORE without sending sensitive information to external servers. EXPLORE can identify patterns in energy use and production processes, helping organizations make data-informed decisions about efficiency improvements. The tool has been integrated with Canada's industrial emissions tracking system (iEMIS) to support environmental reporting and compliance.\n\nIMPORTANT: This system does not involve collection of personal information about individuals. It focuses exclusively on industrial process data and operational metrics. Industries retain full control over their data and determine how EXPLORE's recommendations are implemented.",[],{"purposes":4150,"decision_types":4155,"accountable":4158},[4151,4153,4154],{"id":4152,"title":269,"icon":267,"key":269},"energy_efficiency",{"id":1214,"title":264,"icon":262,"key":264},{"id":704,"title":309,"icon":307,"key":309},[4156,4157],{"id":725,"title":726,"icon":727,"key":726},{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":712,"title":4060,"icon":75,"key":4060},{"id":4160,"headline":4161,"subtitle":12,"intro_body":4162,"labels":4163,"dtpr_summary":4164},"a229a581-2d66-4704-9d36-2f0b755dda74","AI-Powered Interactive Virtual Reality Film","The Interactive VR Film Experience System is an innovative application developed by the National Film Board that combines virtual reality technology with artificial intelligence to create personalized, randomized viewing experiences. The system uses heuristic and reinforced learning algorithms to dynamically adapt the film narrative and interactive elements based on user interactions, ensuring that each viewing is unique.\n\nThis system is designed for both public audiences and employees, allowing users to engage with short-form VR content in ways that respond to their choices and behaviors in real-time. The AI algorithms learn from user interactions to continuously improve and personalize the experience. Please note that this system does not involve the collection or processing of personal information, ensuring user privacy is maintained throughout the interactive experience.\n\nThe application was developed by Transitional Forms in partnership with the National Film Board. Users should understand that their interactions within the VR environment influence how the AI adapts the content, creating a truly personalized entertainment experience.",[],{"purposes":4165,"decision_types":4167,"accountable":4169},[4166],{"id":706,"title":294,"icon":292,"key":294},[4168],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":4083,"icon":69,"key":4083},{"id":4171,"headline":4172,"subtitle":12,"intro_body":4173,"labels":4174,"dtpr_summary":4175},"45070274-a58a-4387-b777-e890ef7ccfe7","AI-Powered Conversation for Creative Expression","The National Film Board uses Conversational AI to enable interactive machine learning-based conversations within artistic projects. Since 2019, this system has powered user-machine interactions through machine learning processes (AAPs) designed to create engaging dialogues in creative contexts. The system is used by both employees and members of the public as part of artistic installations and projects. This AI processes conversational data to facilitate artistic expression and user engagement, with underlying processing handled through cloud infrastructure provided by Microsoft Azure and Descript technologies.",[],{"purposes":4176,"decision_types":4181,"accountable":4183},[4177,4179],{"id":4178,"title":324,"icon":322,"key":324},"social",{"id":4180,"title":244,"icon":242,"key":244},"arts_culture",[4182],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":4083,"icon":69,"key":4083},{"id":4185,"headline":4186,"subtitle":12,"intro_body":4187,"labels":4188,"dtpr_summary":4189},"4eddf87a-476b-4176-90c8-635d5cbcdda5","Automated Tweet Tone Analysis and Categorization","The National Film Board uses IBM Watson Tone Analyzer to automatically categorize tweets for display on its live website. This AI system analyzes the emotional tone and sentiment of tweets in real-time to help organize and present content appropriately. The system is used by Government of Canada employees who manage the NFB's online presence.\n\nThe tool processes incoming tweets to detect emotional undertones such as joy, sadness, anger, or confidence, then categorizes them accordingly. This helps ensure that displayed content matches the intended audience experience and brand voice.\n\nThis system operates on an ongoing basis as a continuous service. While the system performs automated tone analysis, it is important to understand that this involves processing of tweet content to extract emotional and tonal characteristics.",[],{"purposes":4190,"decision_types":4192,"accountable":4194},[4191],{"id":1127,"title":1128,"icon":488,"key":1128},[4193],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":4083,"icon":75,"key":4083},{"id":4196,"headline":4197,"subtitle":12,"intro_body":4198,"labels":4199,"dtpr_summary":4200},"6a183416-9d8c-4932-8550-49d7972a80fa","AI-Powered Text-to-Speech for Website Accessibility","The National Film Board uses Amazon Polly, a cloud-based text-to-speech service, to provide audio versions of website content. This AI system converts written text into natural-sounding speech, making website content more accessible to users who prefer or require audio formats. The system is actively used by Government of Canada employees and is maintained as an ongoing service. This system does not involve the processing of personal information.",[],{"purposes":4201,"decision_types":4204,"accountable":4206},[4202,4203],{"id":874,"title":234,"icon":231,"key":234},{"id":706,"title":294,"icon":292,"key":294},[4205],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":4083,"icon":75,"key":4083},{"id":4208,"headline":4209,"subtitle":12,"intro_body":4210,"labels":4211,"dtpr_summary":4212},"4849891f-129a-4f68-806e-fba7a2545e51","AI-Powered Molecular Gel Discovery for Carbon Capture","Natural Resources Canada has developed a computational AI system designed to accelerate the discovery of molecular gels that can capture carbon dioxide (CO2) from liquid and supercritical environments. This system applies machine learning and advanced molecular modeling to identify promising building block molecules and predict how different molecular structures will perform in CO2 capture applications. By simulating molecular properties computationally, the system significantly reduces the need for extensive laboratory experimentation, making the material discovery process faster and more efficient.\n\nThe system is currently in production and is primarily used by Government of Canada employees working in research and development. It does not involve the processing of personal information. The AI analyzes molecular structures, calculated properties, and experimentally measured properties to train predictive models that help guide and optimize the discovery of new CO2-philic low-molecular-weight gels (LMWGs).\n\nThis system represents an important application of AI in environmental science and materials research, supporting Canada's efforts in carbon capture and climate mitigation strategies.",[],{"purposes":4213,"decision_types":4216,"accountable":4219},[4214,4215],{"id":814,"title":314,"icon":312,"key":314},{"id":1214,"title":264,"icon":262,"key":264},[4217,4218],{"id":744,"title":745,"icon":746,"key":745},{"id":725,"title":726,"icon":727,"key":726},{"id":712,"title":4060,"icon":75,"key":4060},{"id":4221,"headline":4222,"subtitle":12,"intro_body":4223,"labels":4224,"dtpr_summary":4225},"563508a0-fb4c-4bdf-b178-6469cb72837e","AI-Powered Artistic Style Transfer for Images","The Style Transfer Image Processing System is an artificial intelligence tool developed by the National Film Board during the research and development phase of a creative project. This system uses neural networks to analyze artistic styles from works of art and apply those visual characteristics to other images, enabling creative experimentation with different artistic approaches. The system is currently in development and testing phases, and is used by Government of Canada employees working on film and media projects. This technology processes images to understand and transfer artistic elements such as color palettes, brushwork patterns, and compositional techniques. While the system is designed to work with images, users should be aware that the AI analyzes visual content to perform its style transfer function.",[],{"purposes":4226,"decision_types":4229,"accountable":4231},[4227,4228],{"id":814,"title":314,"icon":312,"key":314},{"id":4180,"title":244,"icon":242,"key":244},[4230],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":4083,"icon":75,"key":4083},{"id":4233,"headline":4234,"subtitle":12,"intro_body":4235,"labels":4236,"dtpr_summary":4237},"90f2747f-fbf4-40a0-9c22-b3b1fb41b1c4","ML-Powered Semiconductor Design Optimization","The Virtual Semiconductor Fabrication Model is a machine learning system developed by the National Research Council Canada in collaboration with McGill University. This digital solution helps reduce the impact of fabrication imperfections on semiconductor component optical performance by predicting how design layouts will perform during manufacturing. Designers can conduct virtual trials on the model to verify that client expectations will be met and gather valuable data before sending designs to manufacturers. The system uses deep learning trained on internal research data and fabrication\u002Fimaging data from Applied Nanotools Inc. Primary users are Government of Canada employees. This system does not involve personal information.",[],{"purposes":4238,"decision_types":4241,"accountable":4243},[4239,4240],{"id":704,"title":309,"icon":307,"key":309},{"id":814,"title":314,"icon":312,"key":314},[4242],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4245,"headline":4246,"subtitle":12,"intro_body":4247,"labels":4248,"dtpr_summary":4249},"03be0f32-31b1-43cc-bc45-5fe91b2aac94","AI Assistant for Energy Data Analysis","The CanmetENERGY Devon AI Assistant is a Large Language Model system deployed by Natural Resources Canada to help government employees analyze and interpret energy-related data. The system accepts documents and media uploads from users and provides customized analytical responses and opinions based on the submitted information. This AI assistant is currently in production and is designed to support internal government analysis work.\n\nThe system is built on open-source technology (Ollama and Anything LLM) and processes private data sources. It is accessible to Government of Canada employees only. The system does not involve processing of personal information about individuals. Users should be aware that this is an AI-assisted tool that interprets data based on learned patterns and should be used as a decision-support aid rather than a definitive source of truth.",[],{"purposes":4250,"decision_types":4252,"accountable":4254},[4251],{"id":706,"title":294,"icon":292,"key":294},[4253],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":4060,"icon":69,"key":4060},{"id":4256,"headline":4257,"subtitle":12,"intro_body":4258,"labels":4259,"dtpr_summary":4260},"dd8b441f-dc9d-495a-b238-c0edbc462f1a","AI-Powered Ocean Health Monitoring","The Ocean Health and Carbon Sequestration Monitoring System is a collaborative research initiative between the National Research Council Canada (NRC) and the University of Victoria designed to assess ocean ecosystem health and measure carbon sequestration capacity. The system combines advanced sensor technology, remotely operated vehicles (ROV), and machine learning to continuously monitor marine conditions in Canadian waters.\n\nThe system uses a transformer-based machine learning model trained on publicly available historical data to predict chlorophyll concentrations, a key indicator of marine ecosystem productivity and carbon uptake potential. This technology helps researchers understand how oceans respond to environmental changes and their role in carbon cycling. The system is currently in development and is used by Government of Canada employees and researchers to support ocean conservation and climate science research.\n\nThe project does not involve the collection or processing of personal information. A cybersecurity component has been integrated to assess and protect the sensor network's vulnerabilities, ensuring the integrity and privacy of research data collected during monitoring operations.",[],{"purposes":4261,"decision_types":4264,"accountable":4266},[4262,4263],{"id":1214,"title":264,"icon":262,"key":264},{"id":814,"title":314,"icon":312,"key":314},[4265],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4268,"headline":4269,"subtitle":12,"intro_body":4270,"labels":4271,"dtpr_summary":4272},"60f4849f-2a00-4b26-8604-9376c7398f71","AI-Powered Nutrition Tracking for Healthy Aging","The Nutritional Intake Monitoring System is an AI research tool developed by the National Research Council Canada to help older adults track their eating patterns and dietary habits. The system is currently in development and is designed to detect changes in nutrition that could impact health outcomes, helping seniors prevent or manage conditions like dementia while maintaining independence and quality of life at home.\n\nThis system works by automatically analyzing eating patterns to provide more accurate monitoring than traditional self-reporting methods. Rather than requiring older adults to manually record everything they eat, the AI tool simplifies the tracking process and reduces the burden of data entry. The system does not collect personal identifying information, making it focused purely on nutritional data analysis.\n\nThe system is intended for use by Government of Canada employees involved in research and development. As this tool is still in development, the system represents an important step forward in using AI to support healthy aging and nutritional wellness for vulnerable populations.",[],{"purposes":4273,"decision_types":4275,"accountable":4277},[4274],{"id":739,"title":289,"icon":287,"key":289},[4276],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4279,"headline":4280,"subtitle":12,"intro_body":4281,"labels":4282,"dtpr_summary":4283},"6f338fd1-362f-4586-b798-3b2dcd4ed12a","AI-Powered Bridge Infrastructure Health Monitoring","Canada's transportation infrastructure faces significant challenges, with over 50,000 publicly owned bridges and 11% currently in poor or very poor condition. The Bridge Health Monitoring and Maintenance Decision Support System is an artificial intelligence tool being developed by the National Research Council of Canada in partnership with Housing, Infrastructure and Communities Canada, Esri Canada, and the University of Manitoba to help governments make better decisions about bridge maintenance, renewal, and replacement.\n\nThis AI system analyzes bridge monitoring data to predict infrastructure health and support long-term investment planning. By enabling remote monitoring capabilities and providing decision support for maintenance prioritization, the system aims to reduce both the physical risks of bridge failure and the economic costs of infrastructure management. The system is currently in development and does not involve the processing of personal information.\n\nThe primary users of this system are Government of Canada employees who will use the AI-based bridge health predictions to inform infrastructure management decisions. This system represents an important step toward more efficient and data-driven management of Canada's critical transportation infrastructure.",[],{"purposes":4284,"decision_types":4286,"accountable":4288},[4285],{"id":704,"title":309,"icon":307,"key":309},[4287],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4290,"headline":4291,"subtitle":12,"intro_body":4292,"labels":4293,"dtpr_summary":4294},"6b014c7b-0d05-4b78-8b59-e32e423244ff","Smart AI-Driven Truck Route Optimization","The AI Truck Route Planning System is a collaborative initiative developed by the National Research Council of Canada, the University of Calgary, the City of Calgary, and two of Canada's largest transportation companies. This intelligent system uses artificial intelligence to anticipate traffic patterns and weather conditions, helping transportation planners select the most efficient and effective truck routes. The system is currently in production and primarily serves members of the public through improved transportation efficiency.\n\nThe system does not collect or process personal information. Instead, it analyzes traffic data and weather patterns to provide route optimization recommendations. This means that while the system may indirectly benefit individuals through more efficient delivery services and reduced traffic congestion, it operates without identifying or tracking specific individuals.",[],{"purposes":4295,"decision_types":4297,"accountable":4299},[4296],{"id":704,"title":309,"icon":307,"key":309},[4298],{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4301,"headline":4302,"subtitle":12,"intro_body":4303,"labels":4304,"dtpr_summary":4305},"4dfa70dc-b4f8-4375-8c3f-6c764296912f","Accelerating Scientific Discovery Through AI","The National Research Council Canada, in collaboration with Mila, McGill University, and SickKids, has developed an AI system to accelerate the discovery of molecules for healthcare, clean energy, and environmental applications. The system uses artificial intelligence to rapidly analyze large datasets and candidate molecules to identify the most promising compounds, significantly reducing both time and costs compared to traditional discovery methods.\n\nThis AI system is currently in development and is primarily used by Government of Canada employees involved in scientific research. The system does not process personal information about individuals. Instead, it focuses entirely on analyzing molecular data, chemical properties, and scientific research datasets to support discoveries in healthcare applications, green energy materials, battery technology for electric vehicles, and carbon capture and storage innovations.",[],{"purposes":4306,"decision_types":4309,"accountable":4311},[4307,4308],{"id":704,"title":309,"icon":307,"key":309},{"id":814,"title":314,"icon":312,"key":314},[4310],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4313,"headline":4314,"subtitle":12,"intro_body":4315,"labels":4316,"dtpr_summary":4317},"44cd21bb-89eb-47b3-be01-e4b02325aed9","AI-Powered Real-Time Event Monitoring and Summarization","The DataMinr First Alert ReGenAI Feature is an artificial intelligence system currently in development that helps Government of Canada employees monitor and understand events as they happen. The system collects publicly available information from multiple sources including text, images, video, and audio, then uses advanced AI technology to select relevant information, create easy-to-understand summaries, and provide translations when needed.\n\nThis tool is designed to help the Privy Council Office's event monitoring team work more efficiently by automatically processing large amounts of publicly available information and presenting it in a digestible format. The system does not process personal information and is being piloted to evaluate its effectiveness for real-time event analysis and contextualization.\n\nKey transparency information: This is a vendor-supplied service (DataMinr) that uses proprietary generative AI technology. The system is currently in development and intended for use by Government of Canada employees only. Users should be aware that while the system aims to provide accurate summaries, it relies on publicly available sources and AI-generated analysis.",[],{"purposes":4318,"decision_types":4321,"accountable":4323},[4319,4320],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[4322],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":4324,"icon":69,"key":4324},"Privy Council Office",{"id":4326,"headline":4327,"subtitle":12,"intro_body":4328,"labels":4329,"dtpr_summary":4330},"f6f75f7e-2ad4-41c3-8b14-b5dd1bdec603","AI-Powered Passive Drone Detection","The Drone Detection System is an innovative AI-powered solution developed by the National Research Council Canada to identify and track uncrewed aerial systems (drones) in complex environments. Currently in development, this system uses artificial intelligence to detect, track, and characterize drones based on the acoustic and electromagnetic signals generated by their rotating propellers, rather than relying on image recognition or visual identification methods.\n\nThe system is designed to enhance security and safety by accurately identifying low-flying drones that may attempt to evade detection using natural terrain features. It generates very few false alarms, making it a reliable tool for protecting privacy, security, and infrastructure. The primary users of this system are Government of Canada employees. Please note that this system does not involve the collection or processing of personal information about individuals.",[],{"purposes":4331,"decision_types":4333,"accountable":4335},[4332],{"id":737,"title":319,"icon":317,"key":319},[4334],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4337,"headline":4338,"subtitle":12,"intro_body":4339,"labels":4340,"dtpr_summary":4341},"278c2eb8-7609-4039-9c5d-06ae3f4e1a5c","AI-Powered Water Quality Forecasting System","The Oxygen Predictor for Atlantic Estuaries is an artificial intelligence system developed by the National Research Council of Canada to forecast dissolved oxygen levels in coastal waters. This system uses machine learning to predict low-oxygen events several days in advance, helping environmental managers protect marine ecosystems and support sustainable aquaculture operations.\n\nThe system analyzes water quality data from Atlantic estuary environments to anticipate problems such as eutrophication and harmful algal blooms. By providing early warning of oxygen depletion events, the system enables proactive management of coastal water quality and protection of marine biodiversity. The system is currently in development and is used by Government of Canada employees. This system does not involve the processing of personal information.\n\nThis transparent overview explains how the system works, what data it processes, and how decisions are made to support environmental stewardship in Atlantic coastal regions.",[],{"purposes":4342,"decision_types":4345,"accountable":4347},[4343,4344],{"id":704,"title":309,"icon":307,"key":309},{"id":1214,"title":264,"icon":262,"key":264},[4346],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4349,"headline":4350,"subtitle":12,"intro_body":4351,"labels":4352,"dtpr_summary":4353},"f024c1ac-3f43-449e-b64f-5358e0f7a89e","Automated Drone Bridge Defect Detection","This AI-powered system uses drone technology to automatically detect and identify surface defects on bridges, displaying them in augmented reality for inspectors. The system is currently in development as a proof of concept and is designed to make bridge inspections safer, more efficient, and more cost-effective by combining drone capabilities with advanced AI and digital technologies.\n\nThe system is intended for use by Government of Canada employees conducting bridge inspections. It does not involve processing of personal information. The system uses computer vision and object detection algorithms trained on the CODEBRIM dataset to analyze visual data captured by drones and provide real-time feedback to inspectors through augmented reality interfaces.",[],{"purposes":4354,"decision_types":4357,"accountable":4359},[4355,4356],{"id":737,"title":319,"icon":317,"key":319},{"id":704,"title":309,"icon":307,"key":309},[4358],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4361,"headline":4362,"subtitle":12,"intro_body":4363,"labels":4364,"dtpr_summary":4365},"1727e73d-2f2b-4021-aa03-64bfeefee4c4","AI-Powered Early Warning for Global Health Threats","The Global Public Health Intelligence Network (GPHIN) is an automated system designed to detect and analyze potential public health threats in real-time, including chemical, biological, radiological, and nuclear (CBRN) events. Operating 24\u002F7, the system monitors news sources worldwide using advanced AI capabilities to identify early warning signals that could indicate emerging health crises.\n\nGPHIN combines cutting-edge automated processing with human expertise to translate information from global media sources, score relevance, map geographic locations, detect anomalies, and categorize health-related events. This allows public health officials and authorized users to respond quickly to potential threats. The system is currently in production and serves both government employees and the public. Please note that this system does not process personal information about individuals.",[],{"purposes":4366,"decision_types":4369,"accountable":4371},[4367],{"id":4368,"title":284,"icon":282,"key":284},"fire_emergency",[4370],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4373,"headline":4374,"subtitle":12,"intro_body":4375,"labels":4376,"dtpr_summary":4377},"5ad5847c-2f16-4a46-a233-cc8115a803ae","AI-Powered Agricultural Trade Monitoring System","FIESCA is an artificial intelligence platform developed by the National Research Council Canada that monitors agricultural trade publications from countries that export food to Canada. The system automatically scans news sources and agricultural trade publications to detect newly authorized pesticides and other regulatory changes in foreign countries, allowing Canada to proactively increase food safety testing at its borders.\n\nThe system uses advanced AI capabilities including translation, relevance scoring, geographic mapping, and content categorization to process large volumes of agricultural trade information. By identifying emerging food safety concerns before products reach Canadian borders, FIESCA helps protect public health and supports evidence-based decision-making for food import inspections.\n\nStatus: In production. Primary users: Government of Canada employees. Personal information: No personal data is collected or processed by this system.",[],{"purposes":4378,"decision_types":4381,"accountable":4383},[4379,4380],{"id":704,"title":309,"icon":307,"key":309},{"id":737,"title":319,"icon":317,"key":319},[4382],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4385,"headline":4386,"subtitle":12,"intro_body":4387,"labels":4388,"dtpr_summary":4389},"e51c7834-f780-4898-9f45-484b2799cb7d","International Crisis Response Media Monitoring System","GLOSSE is a retired AI platform developed by the Government of Canada that monitored local news media overseas to support international Watch Offices in responding to local crises. The system was designed to help quickly identify the most suitable evacuation countries and routes for Canadians overseas during conflicts and other emergency situations. GLOSSE processed news from major international sources including Dow Jones Factiva and RSS news feeds, applying advanced language processing to translate content, score relevance, map geographic locations, detect duplicate stories, and categorize information by crisis type and location.\n\nThe system was used exclusively by Government of Canada employees to support rapid decision-making during international emergencies. GLOSSE did not involve the collection or processing of personal information about individuals. As a retired system, it is no longer in active operation.",[],{"purposes":4390,"decision_types":4392,"accountable":4395},[4391],{"id":706,"title":294,"icon":292,"key":294},[4393,4394],{"id":725,"title":726,"icon":727,"key":726},{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":2390,"icon":75,"key":2390},{"id":4397,"headline":4398,"subtitle":12,"intro_body":4399,"labels":4400,"dtpr_summary":4401},"8345c0bd-5345-4ab6-b8cc-5fbb9256be0c","AI-Powered Translation for Parliament","The Parliamentary Machine Translation System is a neural machine translation tool developed by the National Research Council Canada's Digital Technologies Research Centre in collaboration with the Translation Bureau. The system is designed to assist House of Commons and Senate translators by providing domain-specific machine translation capabilities for parliamentary documents and communications.\n\nThis system is currently in production and is used by Government of Canada employees who work as parliamentary translators. It does not process personal information. The system learns from historical translations produced by human translators, allowing it to understand and replicate the specialized terminology and translation conventions used in parliamentary contexts.\n\nAs a government AI system deployed in a transparent manner, this tool represents Canada's commitment to modernizing parliamentary translation services while maintaining the high standards required for official legislative proceedings.",[],{"purposes":4402,"decision_types":4405,"accountable":4407},[4403,4404],{"id":706,"title":294,"icon":292,"key":294},{"id":2374,"title":2375,"icon":488,"key":2375},[4406],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4409,"headline":4410,"subtitle":12,"intro_body":4411,"labels":4412,"dtpr_summary":4413},"9f80be57-d5c3-42cd-8eba-5996b27a6c1d","Secure Bilingual AI Translation for Government","GCtranslate is a secure, enterprise-grade artificial intelligence system developed by Public Services and Procurement Canada (PSPC) to rapidly translate English text and documents into French. The system uses neural machine translation technology to help government departments meet Canada's growing demand for timely bilingual content, significantly reducing translation turnaround times for non-official publications and internal communications.\n\nThe system is currently in production and used by Government of Canada employees across federal departments. It operates at the Protected B security classification level and does not process personal information. GCtranslate works by accepting text and document inputs from authorized government users and applications through a secure API interface, translating them using pre-trained neural translation models, and returning translated content along with usage analytics. The system includes role-based access controls and specialized glossary and terminology support to ensure accurate, consistent translations aligned with government standards.\n\nAs an AI-powered service, GCtranslate helps government departments serve Canadians more efficiently by removing language barriers to accessing bilingual government content and services. Citizens may encounter translations produced by this system when accessing federal government resources, forms, or communications in their preferred official language.",[],{"purposes":4414,"decision_types":4416,"accountable":4418},[4415],{"id":706,"title":294,"icon":292,"key":294},[4417],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":4419,"icon":75,"key":4419},"Public Services and Procurement Canada (PSPC)",{"id":4421,"headline":4422,"subtitle":12,"intro_body":4423,"labels":4424,"dtpr_summary":4425},"90b42b5d-cb87-46df-83fc-d9276c34873d","AI-Powered Procurement Document Processing System","The Defence Procurement Intelligent Document Processing (IDP) system is an artificial intelligence tool currently in development by Public Services and Procurement Canada (PSPC) to automate the processing of government procurement documents. The system automatically extracts, classifies, and validates data from procurement documents such as Requests for Proposals, bids, contracts, and Statements of Work, significantly reducing the time and effort required for manual data entry and analysis.\n\nThis system affects Government of Canada employees who work in procurement by streamlining their workflow and improving the accuracy of compliance checking. The IDP system uses document classification, optical character recognition (OCR), entity extraction, and validation against established rules and schemas to process documents efficiently. The system is powered by Microsoft technology and integrates with existing procurement workflows through dashboard interfaces.\n\nImportant transparency information: This pilot does not collect or process personal information about individuals. It is designed to work only with procurement-related documents and metadata. As this system is still in development, PSPC is committed to ensuring it meets all government standards for accuracy, compliance, and responsible AI deployment before full implementation.",[],{"purposes":4426,"decision_types":4428,"accountable":4430},[4427],{"id":704,"title":309,"icon":307,"key":309},[4429],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":4419,"icon":75,"key":4419},{"id":4432,"headline":4433,"subtitle":12,"intro_body":4434,"labels":4435,"dtpr_summary":4436},"9f3a27ff-e402-46ed-a134-7d9a1459ac15","AI-Powered Research Facility Mapping and Analysis","SciMap is an AI-assisted geospatial reporting system developed by Public Services and Procurement Canada (PSPC) to track and visualize research facilities, scientists, and publications across Canada. The system uses artificial intelligence, specifically Google's Gemini model, to clean and compare research data, helping government decision-makers identify partnership opportunities and inform investment decisions in Canada's research infrastructure.\n\nThe system processes research facility datasets, publication metadata, and scientist registries from Government of Canada and open data sources. It provides multiple capabilities including automated data cleaning, dataset comparison, geospatial visualization, and report generation. The system is currently in development and is designed primarily for use by Government of Canada employees. **Important note:** This system involves processing personal information about researchers and scientists. Multiple AI use cases are being explored, including chatbot interfaces and advanced decision support features.\n\nAs a geospatial intelligence tool, SciMap helps PSPC and partner organizations make evidence-based decisions about research investments and collaboration opportunities across Canadian institutions. The system is hosted on SharePoint and built on Microsoft Power BI infrastructure.",[],{"purposes":4437,"decision_types":4440,"accountable":4442},[4438,4439],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[4441],{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":4419,"icon":75,"key":4419},{"id":4444,"headline":1232,"subtitle":12,"intro_body":4445,"labels":4446,"dtpr_summary":4447},"7a01748d-c8ea-4cc5-83cf-42f9962d4a99","MAX is a conversational AI assistant developed by Public Services and Procurement Canada (PSPC) to provide 24\u002F7 IT support to Government of Canada employees. The system helps employees with common IT requests such as password resets, software requests, and how-to guidance. By automatically handling routine support tickets (Tier-0 and Tier-1 issues), MAX aims to reduce wait times, improve resolution speed, and free up IT support staff to focus on more complex problems. The system can escalate issues to human agents when needed.\n\nThis AI system is currently in development and involves the collection and processing of personal information from employees who interact with it. The system uses natural language processing to understand questions, searches internal IT knowledge bases and service catalogs, and learns from usage patterns to continuously improve its responses. Employees should be aware that their interactions with MAX, including the questions they ask and issues they report, are processed and analyzed by the system.\n\nMAX was developed in partnership with Microsoft and is designed to operate continuously to serve Government of Canada employees regardless of time of day or day of week.",[],{"purposes":4448,"decision_types":4451,"accountable":4454},[4449,4450],{"id":816,"title":239,"icon":237,"key":239},{"id":706,"title":294,"icon":292,"key":294},[4452,4453],{"id":744,"title":745,"icon":746,"key":745},{"id":725,"title":726,"icon":727,"key":726},{"id":712,"title":4419,"icon":75,"key":4419},{"id":4456,"headline":4457,"subtitle":12,"intro_body":4458,"labels":4459,"dtpr_summary":4460},"93d64cba-f000-48e1-977c-445800fa6af2","AI-Powered Historical Imagery Georeferencing","Natural Resources Canada operates an artificial intelligence system that processes and aligns historical aerial imagery from the National Air Photo Library. The system automatically detects reference points, aligns images to geographic coordinates, enhances image resolution, and colorizes black-and-white photographs. This technology enables researchers, planners, and the public to access historical aerial images and study environmental and landscape changes over time.\n\nThe system is currently in production use by Government of Canada employees. It does not process personal information. The AI performs technical image processing tasks including image matching, control point detection, mosaicking, super-resolution enhancement, and colorization of NAPL imagery to make historical aerial photos more accessible and useful for analysis.\n\nThis system helps unlock decades of archived aerial photography, making it possible to track changes in land use, vegetation, infrastructure, and natural features across Canada's landscapes. By automatically aligning and enhancing these historical images, the system reduces manual effort and enables large-scale analysis of temporal changes.",[],{"purposes":4461,"decision_types":4464,"accountable":4466},[4462,4463],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[4465],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":4060,"icon":69,"key":4060},{"id":4468,"headline":4469,"subtitle":12,"intro_body":4470,"labels":4471,"dtpr_summary":4472},"18e3802b-702d-46cd-b96a-601356836a42","AI-Powered MEMS Actuator Design Optimization","This system uses artificial intelligence to design and optimize electromagnetic actuators for deformable mirrors used in optical communications and astronomical observations. The AI algorithm, called Surrogate-Assisted Multi-Objective Optimization, helps engineers find better design solutions even when they have limited data from simulations and prototype testing. The system is currently in production and is used by Government of Canada employees.\n\nThe system does not collect or process personal information about individuals. Instead, it works with technical simulation data generated from COMSOL to improve the performance of optical devices that compensate for atmospheric turbulence. This AI approach demonstrates how machine learning can accelerate the engineering design process for complex micro-electromechanical systems (MEMS) devices, including electromagnetic, electrostatic, and thermal applications.",[],{"purposes":4473,"decision_types":4475,"accountable":4477},[4474],{"id":814,"title":314,"icon":312,"key":314},[4476],{"id":2919,"title":2920,"icon":488,"key":2920},{"id":712,"title":3856,"icon":75,"key":3856},{"id":4479,"headline":4480,"subtitle":12,"intro_body":4481,"labels":4482,"dtpr_summary":4483},"eafaac4a-c3ec-456e-ab95-4a104ea26dfe","Real-time Hydrogen Safety Monitoring System","The Hydrogen Leakage Monitor is an AI-powered system developed by the National Research Council Canada to detect and track hydrogen losses at refueling stations in real-time. Hydrogen leaks represent a serious safety hazard for station operations, and this system helps identify leaks quickly and pinpoint which components are responsible for the losses.\n\nThe system analyzes streaming operational data from hydrogen stations to calculate hydrogen loss based on production and filling metrics. It generates daily, weekly, and monthly statistics, monitors overall station health, and detects abnormal operations. This helps station operators respond quickly to potential safety issues and optimize facility performance.\n\nThis system is currently in production and does not involve personal information collection. Members of the public may benefit from the improved safety monitoring at hydrogen refueling stations. The system processes real operational data from hydrogen refueling facilities to ensure stations operate safely and efficiently.",[],{"purposes":4484,"decision_types":4486,"accountable":4488},[4485],{"id":737,"title":319,"icon":317,"key":319},[4487],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4490,"headline":4491,"subtitle":12,"intro_body":4492,"labels":4493,"dtpr_summary":4494},"e3886f8a-a3c3-4746-b476-7586310f6703","AI-Powered Materials Discovery for Clean Energy","This artificial intelligence system helps researchers discover and synthesize novel perovskite materials more rapidly and efficiently than traditional trial-and-error methods. Perovskites are a class of materials with important applications in clean energy technologies and other engineering fields. The system combines generative AI for material discovery with Bayesian optimization for synthesis parameters, accelerating the research process.\n\nDeveloped by the National Research Council Canada in collaboration with the University of Ottawa as part of the AI for Design Challenge Program, this system is currently in development. The system uses only public datasets and does not involve the processing of personal information. Primary users include Government of Canada employees conducting materials research and development.\n\nThis transparency page provides information about how the system works, the data it processes, and the decisions it supports in the research pipeline.",[],{"purposes":4495,"decision_types":4497,"accountable":4500},[4496],{"id":814,"title":314,"icon":312,"key":314},[4498,4499],{"id":744,"title":745,"icon":746,"key":745},{"id":2919,"title":2920,"icon":488,"key":2920},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4502,"headline":4503,"subtitle":12,"intro_body":4504,"labels":4505,"dtpr_summary":4506},"d2994db4-07f4-4279-8b1e-a41d823c7b1f","AI-Powered Scientific Discovery and Materials Innovation","This AI system is being developed by the National Research Council Canada to accelerate scientific discovery in areas such as pharmaceuticals and battery materials. The system is designed to identify novel compounds and optimize material properties that could lead to breakthrough innovations in cancer therapies and energy storage solutions.\n\nThe system is currently in development and is primarily used by Government of Canada employees and research collaborators as part of the AI for Design Challenge program. This system does not involve the collection or processing of personal information about members of the public.\n\nKey transparency information: The AI supports scientific research and discovery processes rather than making decisions about individuals. It is designed to assist researchers in identifying promising candidates for further investigation, such as new lithium cathode configurations for batteries or T-cell protein editing approaches for personalized cancer therapies.",[],{"purposes":4507,"decision_types":4509,"accountable":4511},[4508],{"id":814,"title":314,"icon":312,"key":314},[4510],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4513,"headline":4514,"subtitle":12,"intro_body":4515,"labels":4516,"dtpr_summary":4517},"0f4fd125-6083-400c-82b4-06574e2eb03f","AI-Powered News Article Generation System","Statistics Canada operates an AI-assisted drafting system designed to augment the creation of articles for The Daily, a citizen-facing communications product. This exploratory platform uses artificial intelligence to support journalists and communications professionals in developing statistical news content. The system is currently in production and serves both government employees and the general public.\n\nThis system does not involve the collection or processing of personal information about individuals. Instead, it works with Statistics Canada's pre-release statistical data to assist in the drafting and communication of statistical findings. The AI augments the human editorial process, helping to generate article drafts that communicate complex statistical information in accessible ways for citizens.\n\nThe system has been notified as an AI application under Canada's Algorithmic Impact Assessment framework. Citizens should be aware that articles produced with AI assistance are reviewed and edited by human journalists before publication, maintaining editorial oversight of all public-facing content.",[],{"purposes":4518,"decision_types":4520,"accountable":4523},[4519],{"id":706,"title":294,"icon":292,"key":294},[4521,4522],{"id":835,"title":836,"icon":837,"key":836},{"id":1598,"title":1603,"icon":488,"key":1603},{"id":748,"title":713,"icon":69,"key":713},{"id":4525,"headline":4526,"subtitle":12,"intro_body":4527,"labels":4528,"dtpr_summary":4529},"ce6eb361-c26f-436f-981e-e047827ba257","Detecting Emerging Technology Signals","The National Research Council Canada has developed an AI system to detect weak signals of emerging technologies in scientific publications that may impact national and international security. This system analyzes scholarly literature using scientometrics—the science of measuring and analyzing research trends—to identify technology developments earlier than traditional methods. The AI simplifies detection of emerging risks and opportunities while introducing new techniques for predicting technological impacts.\n\nThis system is currently in development and is designed for use by both Government of Canada employees and the public. The system does not involve the processing of personal information. By automatically scanning vast amounts of scientific literature, it helps decision-makers understand technology trends and potential security implications before they become widely recognized threats or opportunities.",[],{"purposes":4530,"decision_types":4533,"accountable":4535},[4531,4532],{"id":704,"title":309,"icon":307,"key":309},{"id":737,"title":319,"icon":317,"key":319},[4534],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3856,"icon":69,"key":3856},{"id":4537,"headline":4538,"subtitle":12,"intro_body":4539,"labels":4540,"dtpr_summary":4541},"6177c264-fdea-484b-a883-5063527ed7b5","Automated Discovery of Geospatial Web Services","This AI system automatically identifies and catalogs standards-based geospatial web services across Canada's internet domain (.ca) and Arctic regions. The system discovers services such as Web Map Services (WMS), Web Feature Services (WFS), Web Map Tile Services (WMTS), and Esri REST services that provide access to geospatial data. By identifying these services, the system helps Natural Resources Canada understand how widely geospatial standards are being adopted and which services contribute to the Canadian Geospatial Data Infrastructure (CGDI) and Arctic Spatial Data Infrastructure (ArcticSDI).\n\nThe system operates in production and is available to both government employees and the general public. It processes only publicly available web services that are accessed over the Internet—no personal information is collected or processed by this system. The AI uses machine learning to automatically filter and categorize discovered services, making it easier for organizations to participate in and benefit from Canada's geospatial data ecosystem.",[],{"purposes":4542,"decision_types":4545,"accountable":4547},[4543,4544],{"id":704,"title":309,"icon":307,"key":309},{"id":814,"title":314,"icon":312,"key":314},[4546],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":4060,"icon":75,"key":4060},{"id":4549,"headline":4550,"subtitle":12,"intro_body":4551,"labels":4552,"dtpr_summary":4553},"151ca6bd-8c56-4634-bd9e-b321cc52d0d9","AI-Powered Industrial Equipment Fault Detection","Natural Resources Canada operates an Automated Process Fault Diagnosis Tool that uses machine learning and causality analysis to detect and diagnose equipment failures, energy inefficiencies, and quality issues in industrial processes and buildings. This system automates a task that is traditionally time-consuming and expensive for the process industry.\n\nThe tool connects to online databases to collect operational data, prepares this information, builds machine learning performance models, and automatically identifies problems across industrial and building systems. It affects both government employees and the public by improving operational efficiency and reducing costs in facilities management and industrial operations.\n\nThis system is currently in production and uses data from both public and private sources. The system does not involve personal information. Users should know that the tool makes automated diagnostic recommendations based on pattern analysis, and that these recommendations should be reviewed by qualified personnel before implementation.",[],{"purposes":4554,"decision_types":4557,"accountable":4559},[4555,4556],{"id":4152,"title":269,"icon":267,"key":269},{"id":704,"title":309,"icon":307,"key":309},[4558],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":4060,"icon":69,"key":4060},{"id":4561,"headline":4562,"subtitle":12,"intro_body":4563,"labels":4564,"dtpr_summary":4565},"f25793e7-3218-425a-90a5-97e925d8fb12","AI-Powered Geospatial Data Extraction System","The CCMEO GeoAI Factory and GeoAI Data Series is an artificial intelligence system developed by the Government of Canada to automatically extract geospatial information from satellite and aerial imagery. The system identifies and maps buildings, roads, water features, and forested areas across Canada's landscape, providing continuously updated location-based data to improve the accuracy and currency of Canada's geographic information.\n\nThis system processes multi-modal satellite and aerial imagery to automatically detect and extract geographic features over time and space. The extracted data is primarily used by Government of Canada employees to support mapping initiatives and inform decision-making about Canada's land, water, and infrastructure. The system does not process personal information.\n\nThe system is currently in production and has been registered with the Government of Canada's AI inventory. All processing uses licensed imagery and NRCan-owned geographic data sources to ensure the quality and accuracy of the extracted geographic information.",[],{"purposes":4566,"decision_types":4568,"accountable":4570},[4567],{"id":704,"title":309,"icon":307,"key":309},[4569],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":4060,"icon":75,"key":4060},{"id":4572,"headline":4573,"subtitle":12,"intro_body":4574,"labels":4575,"dtpr_summary":4576},"8d4d7347-9511-40aa-ba34-900d67fefdf1","National AI-Powered Flood Risk Mapping","The Flood Susceptibility Index is a machine learning system developed by Natural Resources Canada that creates a national map showing how likely different areas across Canada are to be affected by flooding. The system analyzes patterns from historical flood events and uses climate variables and hydro-geomorphological data to predict flood-prone areas. This tool is currently in production and is used by Government of Canada employees to inform flood risk planning and decision-making.\n\nThe system does not involve the collection of personal information about individuals. Instead, it processes geographic and environmental data to generate predictions about flood susceptibility across different regions. By providing a data-driven assessment of flood risks, this system helps support disaster preparedness and infrastructure planning at the national level.\n\nThe AI system uses an ensemble machine learning model that tests the impact of multiple climate variables and hydro-geomorphological factors to improve the accuracy of flood susceptibility predictions. Citizens and communities can benefit from this publicly available flood risk information for emergency planning and property assessment purposes.",[],{"purposes":4577,"decision_types":4579,"accountable":4581},[4578],{"id":704,"title":309,"icon":307,"key":309},[4580],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":4060,"icon":75,"key":4060},{"id":4583,"headline":4584,"subtitle":12,"intro_body":4585,"labels":4586,"dtpr_summary":4587},"a164ec3e-da23-40ca-a7da-c518097f6ea6","Geospatial AI Foundation Model for Canada","The Canadian Geospatial Foundation Model is an advanced artificial intelligence system developed by Natural Resources Canada that processes large-scale geospatial satellite imagery and related data to create a unified, comprehensive framework for geospatial AI applications across Canada. This system is currently in production and is primarily used by Government of Canada employees.\n\nThe foundation model learns to describe and understand diverse geospatial data including satellite imagery from open sources like Sentinel and Landsat, as well as licensed high-resolution imagery. It processes multiple types of information including elevation models, geographic coordinates, time data, spectral information from sensors, and descriptive text to build a comprehensive representation of Canadian geospatial patterns.\n\nThis system does not involve the collection or processing of personal information about individuals. The model's purpose is to increase the efficiency, operationalization, and scalability of geospatial AI solutions across government and research organizations in Canada.",[],{"purposes":4588,"decision_types":4591,"accountable":4593},[4589,4590],{"id":704,"title":309,"icon":307,"key":309},{"id":814,"title":314,"icon":312,"key":314},[4592],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":4060,"icon":69,"key":4060},{"id":4595,"headline":4596,"subtitle":12,"intro_body":4597,"labels":4598,"dtpr_summary":4599},"c9f79619-ca22-48eb-9651-0a6069b43609","Industrial Process Forecasting for Steel Production","This AI system provides stochastic forecasting of electric arc furnace (EAF) gas composition, flow rate, temperature, and pressure. It helps modelers and industry partners predict furnace operations using probabilistic methods that account for both historical data and future conditions. The tool is currently in production and is developed and maintained by the Government of Canada.\n\nThe system uses both public and private data sources to generate accurate predictions of industrial furnace properties. These forecasts support better planning and optimization of steel production processes. The tool is primarily used by Government of Canada employees and does not involve the processing of personal information.\n\nThis transparent disclosure explains how the forecasting system operates, what data it uses, and the decisions it supports for industrial operations planning and management.",[],{"purposes":4600,"decision_types":4602,"accountable":4604},[4601],{"id":704,"title":309,"icon":307,"key":309},[4603],{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":712,"title":4060,"icon":75,"key":4060},{"id":4606,"headline":4607,"subtitle":12,"intro_body":4608,"labels":4609,"dtpr_summary":4610},"c1244542-3d6c-4950-8a88-24ae6f98b496","AI-Powered Analysis for Steel Production Research","This AI system analyzes computational fluid dynamics (CFD) simulations of electric arc furnaces used in steel production. The tool uses artificial intelligence techniques to identify patterns in complex simulation data that would be difficult for human analysts to detect manually. This helps researchers understand how biomass-derived carbon particles behave inside furnaces, supporting Canada's industrial decarbonization efforts.\n\nThe system is currently in production and is used by Government of Canada employees conducting research on cleaner steel production methods. The AI analyzes simulation data generated by Natural Resources Canada to accelerate the discovery of insights about particle behavior and furnace efficiency. No personal information is collected or processed by this system.\n\nAs a research support tool, this system helps make industrial decarbonization research faster and more effective by automating the analysis of complex simulation outputs and uncovering hidden patterns that inform better decisions about steel production processes.",[],{"purposes":4611,"decision_types":4613,"accountable":4615},[4612],{"id":814,"title":314,"icon":312,"key":314},[4614],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":4060,"icon":75,"key":4060},{"id":4617,"headline":4618,"subtitle":12,"intro_body":4619,"labels":4620,"dtpr_summary":4621},"364d1383-bcfc-4673-83ed-81796aff9a8c","AI-Powered CO2 Capture Technology Assessment","Natural Resources Canada operates the National CCUS Assessment Framework CO2 Capture Tools, an AI system designed to predict the performance, cost, and environmental impact of carbon capture and utilization\u002Fstorage (CCUS) technologies. The system uses an automated machine learning pipeline that combines process simulation data, costing information, and life cycle assessment data to create accurate predictions about how different CO2 capture technologies will perform in real-world applications.\n\nThis system is currently in production and is used by Government of Canada employees to evaluate and compare CCUS technology options. The AI system does not process personal information. By providing reliable, data-driven assessments of capture technologies, the system helps inform strategic decisions about climate change mitigation investments and technology development priorities.",[],{"purposes":4622,"decision_types":4625,"accountable":4627},[4623,4624],{"id":704,"title":309,"icon":307,"key":309},{"id":1214,"title":264,"icon":262,"key":264},[4626],{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":712,"title":4060,"icon":75,"key":4060},{"id":4629,"headline":4630,"subtitle":12,"intro_body":4631,"labels":4632,"dtpr_summary":4633},"613fc92d-a2ce-4dc2-a0e4-4995571aa7cc","AI-Powered CO2 Mineralization Optimization System","This AI tool helps predict and optimize how different parameters affect the CO2 mineralization process when treating industrial waste feedstocks. The system uses machine learning with artificial neural networks combined with statistical analysis methods to understand complex interactions between variables in different environmental and operating conditions.\n\nThe tool is designed for Government of Canada employees who work on CO2 mineralization research and optimization. It processes publicly available data combined with experimental data to provide insights that improve process efficiency and effectiveness. The system is currently in production use.\n\nThis system does not involve personal information processing. It focuses purely on technical and operational parameters for industrial waste treatment optimization.",[],{"purposes":4634,"decision_types":4636,"accountable":4640},[4635],{"id":704,"title":309,"icon":307,"key":309},[4637],{"id":2919,"title":4638,"icon":4639,"key":4638},"Optimization Algorithm","https:\u002F\u002Fdtpr.io\u002Fdtpr-icons\u002Fprocessing_optimization-algorithm.svg",{"id":712,"title":4060,"icon":75,"key":4060},{"id":4642,"headline":4643,"subtitle":12,"intro_body":4644,"labels":4645,"dtpr_summary":4646},"e29a0306-8ba0-48a3-b5ca-0d4a378232c2","AI-Powered Revenue Forecasting for Government Services","The Vote Netted Revenue (VNR) Forecasting System is an artificial intelligence tool being developed by Shared Services Canada to optimize and improve the revenue forecasting process. This system helps predict financial outcomes to better support service delivery to government partners and clients across Canada.\n\nThe system is currently in development and uses financial data to generate forecasts and predictions about revenue. It is designed for use by Government of Canada employees who manage financial planning and service delivery. The system does not involve processing personal information about individuals.\n\nThis AI system applies forecasting and prediction techniques to historical financial data to help departments make more informed decisions about resource allocation and service planning.",[],{"purposes":4647,"decision_types":4649,"accountable":4651},[4648],{"id":704,"title":309,"icon":307,"key":309},[4650],{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":712,"title":3988,"icon":75,"key":3988},{"id":4653,"headline":4654,"subtitle":12,"intro_body":4655,"labels":4656,"dtpr_summary":4657},"39af4d61-bdd1-4c69-8748-89f056fcf38b","AI-Powered Geospatial Data Search","GEO.CA Semantic Search Engine is an artificial intelligence system that helps users discover Canada's geospatial data more effectively. The system uses advanced natural language processing and machine learning to understand what users are looking for, not just the exact words they type. This means you can search for geospatial information in a more natural way, and the system will understand the context and intent behind your search query.\n\nThe system searches across the largest collection of Canadian geospatial data available—datasets from federal, provincial, and territorial governments consolidated in one location. The semantic search feature significantly improves search accuracy and user experience on the GEO.CA platform by understanding the meaning behind search terms rather than just matching keywords.\n\nThis system is currently in production and is used by members of the public who access the GEO.CA portal. The system does not process personal information—it only analyzes search queries to help deliver better geospatial data results. Natural Resources Canada is accountable for this system's development and deployment.",[],{"purposes":4658,"decision_types":4660,"accountable":4662},[4659],{"id":706,"title":294,"icon":292,"key":294},[4661],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":4060,"icon":75,"key":4060},{"id":4664,"headline":4665,"subtitle":12,"intro_body":4666,"labels":4667,"dtpr_summary":4668},"587d97a6-56bc-482d-8838-57ee12d455b4","Free Open Maps of Vegetation Variables","The Landscape Evolution and Forecasting Toolbox (LEAF Toolbox) is a web-based system developed by Natural Resources Canada that provides free and open access to maps of vegetation variables. The system uses satellite data from sources like Sentinel and Landsat to create transparent, replicable vegetation products that users can visualize or export on demand.\n\nLEAF Toolbox is available to members of the public and does not involve the collection or processing of personal information. The system is designed to be accessible on any web-enabled device, including desktop computers, mobile devices, and handheld computers. Users can customize analyses using their own algorithms, with results conditional on available satellite data and algorithm performance.\n\nThis system operates in production status and represents a transparent approach to environmental monitoring, allowing scientists, planners, and community members to access consistent, reproducible vegetation data for landscape analysis and forecasting applications.",[],{"purposes":4669,"decision_types":4673,"accountable":4675},[4670,4671,4672],{"id":1214,"title":264,"icon":262,"key":264},{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[4674],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":4060,"icon":69,"key":4060},{"id":4677,"headline":4678,"subtitle":12,"intro_body":4679,"labels":4680,"dtpr_summary":4681},"e25cd04a-a8ae-42d8-b272-85146e721910","AI-Powered Real-Time Captioning and Interpretation","Wordly is an AI-powered system that provides closed captioning and simultaneous interpretation services to support accessibility and communication across Government of Canada operations. The system processes audio and speech content in real-time to generate accurate captions and interpretations, enabling broader participation and understanding across language and hearing ability barriers.\n\nThis system is currently in production and is used by Government of Canada employees. The system does not involve the collection or processing of personal information beyond what is necessary to provide captioning and interpretation services in the moment. By automating these accessibility services, Wordly helps ensure that all participants can fully engage with meetings, presentations, and communications regardless of their language preferences or hearing abilities.\n\nThe service is provided by a vendor partner and has been evaluated for compliance with Government of Canada AI and accessibility standards. This transparency page explains how the system works, what data it processes, and what safeguards are in place to protect user privacy and ensure equitable service delivery.",[],{"purposes":4682,"decision_types":4686,"accountable":4688},[4683,4684,4685],{"id":874,"title":234,"icon":231,"key":234},{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[4687],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":4689,"icon":69,"key":4689},"Natural Sciences and Engineering Research Council of Canada (NSERC)",{"id":4691,"headline":4692,"subtitle":12,"intro_body":4693,"labels":4694,"dtpr_summary":4695},"a930f9e9-45c2-4418-bb80-aaad89877f5a","Automated Analysis of Committee Member Survey Responses","The Survey Analysis System is an artificial intelligence tool developed by the Natural Sciences and Engineering Research Council of Canada (NSERC) to automatically process and analyze large volumes of survey responses from committee members. The system helps NSERC efficiently extract insights and patterns from survey data to support organizational decision-making.\n\nThis system is currently in production and is used by Government of Canada employees who need to understand survey feedback at scale. The system processes survey responses to identify trends, themes, and key findings without requiring manual review of every individual response.\n\nCitizens and stakeholders should know that this system may process personal information depending on survey content. NSERC remains accountable for how survey data is collected, analyzed, and used. If you have questions about surveys you've participated in or how your feedback is being analyzed, you can contact NSERC directly.",[],{"purposes":4696,"decision_types":4698,"accountable":4700},[4697],{"id":704,"title":309,"icon":307,"key":309},[4699],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":4689,"icon":69,"key":4689},{"id":4702,"headline":4703,"subtitle":12,"intro_body":4704,"labels":4705,"dtpr_summary":4706},"0f422119-416a-49ee-9c00-9a1ffa0d0831","AI-Powered Quality Assurance and Chatbot Platform","Azure AI Foundry is an AI system in development by the Natural Sciences and Engineering Research Council of Canada (NSERC) to support quality assurance and testing automation. The platform uses artificial intelligence models to generate, execute, and validate test cases, significantly improving testing accuracy and efficiency for internal development processes.\n\nBeyond testing, Azure AI Foundry is being explored for building customized chatbots that leverage organizational data to deliver tailored, secure, and policy-compliant responses. These chatbots are designed to enhance user support and streamline information access for GC employees who interact with the system.\n\nThis system is currently in development and will primarily serve Government of Canada employees. It does not involve the processing of personal information of members of the public.",[],{"purposes":4707,"decision_types":4712,"accountable":4717},[4708,4711],{"id":4709,"title":4710,"icon":488,"key":4710},"quality_assurance","Quality Assurance and Testing",{"id":816,"title":239,"icon":237,"key":239},[4713,4716],{"id":4714,"title":4715,"icon":488,"key":4715},"test_case_generation","Test Case Generation and Validation",{"id":1528,"title":1529,"icon":488,"key":1529},{"id":748,"title":4689,"icon":69,"key":4689},{"id":4719,"headline":4720,"subtitle":12,"intro_body":4721,"labels":4722,"dtpr_summary":4723},"43bdf8d2-570b-4166-9671-204161b31dec","AI-Powered Global Research Discovery and Analysis","Dimension AI is an integrated research intelligence platform currently in development that provides Government of Canada employees with access to a comprehensive, interconnected database of global research outputs. The system enables users to discover, analyze, and evaluate scholarly publications, grants, patents, and other research outcomes to support informed decision-making in the research ecosystem.\n\nThe platform performs bibliometric analyses to assess research impact, identifies suitable peer reviewers based on publication data and expertise, and provides insights to support due diligence and research security assessments. By aggregating and analyzing vast amounts of research data from around the world, Dimension AI helps Canadian researchers and administrators make better-informed decisions about research priorities, collaborations, and grant management.\n\nThis system does not currently involve the collection of personal information about individuals. It focuses on analyzing published research outputs and institutional research data to generate insights for Government of Canada employees who use the platform.",[],{"purposes":4724,"decision_types":4727,"accountable":4729},[4725,4726],{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[4728],{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":4689,"icon":69,"key":4689},{"id":4731,"headline":4732,"subtitle":12,"intro_body":4733,"labels":4734,"dtpr_summary":4735},"2c7d71b0-5d1f-4d20-9075-15be2a7e39e1","AI Writing and Research Assistant for Government Staff","M365 Copilot is a generative AI chatbot deployed by the Patented Medicine Prices Review Board Canada to support internal government work. The system helps employees draft documents, summarize information, generate ideas, and answer general questions to improve productivity. This tool does not make or recommend administrative decisions about clients or the public. The system is currently in production and is used by Government of Canada employees. M365 Copilot does not process personal information about individuals outside the organization—it only works with internal organizational content from Microsoft 365 services (such as SharePoint, OneDrive, and Outlook) that remains within the organization's security boundary. The system uses publicly available text and licensed datasets for its foundational training.",[],{"purposes":4736,"decision_types":4739,"accountable":4741},[4737,4738],{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[4740],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":4742,"icon":69,"key":4742},"Patented Medicine Prices Review Board Canada",{"id":4744,"headline":4745,"subtitle":12,"intro_body":4746,"labels":4747,"dtpr_summary":4748},"99e0cacd-8d61-4600-9149-dcfba8967395","Automated Text Extraction and Classification from Web Documents","Statistics Canada is developing the AI Website Analysis Tool (AiWAT) and AI Document Analysis Tool (AiDAT) to automatically extract and analyze textual information from PDF reports and documents found on websites. These complementary systems use artificial intelligence to identify, extract, and classify information from web-based sources, helping Government of Canada employees process large volumes of documents more efficiently.\n\nThe system is currently in development and is designed primarily for use by Government of Canada employees working in statistical analysis and research roles. It does not involve the processing of personal information. The tools employ text extraction and classification models to organize and interpret the content of PDF documents without human review of each individual document.",[],{"purposes":4749,"decision_types":4753,"accountable":4755},[4750,4751,4752],{"id":706,"title":294,"icon":292,"key":294},{"id":814,"title":314,"icon":312,"key":314},{"id":704,"title":309,"icon":307,"key":309},[4754],{"id":709,"title":710,"icon":488,"key":710},{"id":712,"title":713,"icon":75,"key":713},{"id":4757,"headline":4758,"subtitle":12,"intro_body":4759,"labels":4760,"dtpr_summary":4761},"e952f1cf-6cff-4e07-bd68-f0409124fc9f","On-Premises AI Language Model Research Platform","The Public Service Commission of Canada operates a self-hosted Large Language Model (LLM) framework using the open-source Ollama solution. This system is currently in development and enables Government of Canada employees to experiment with advanced AI models for research and development purposes. All data processing occurs on-premises within a protected environment, ensuring that organizational data remains within the department's control.\n\nThe framework allows specialized teams to test and develop AI-based solutions tailored to government needs without relying on external cloud services. This approach prioritizes data security and organizational sovereignty while supporting innovation in artificial intelligence applications. **Important note:** This system processes personal information and is designed exclusively for authorized GC employees engaged in approved research activities.",[],{"purposes":4762,"decision_types":4764,"accountable":4766},[4763],{"id":814,"title":314,"icon":312,"key":314},[4765],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":4767,"icon":69,"key":4767},"Public Service Commission of Canada (PSC)",{"id":4769,"headline":4770,"subtitle":12,"intro_body":4771,"labels":4772,"dtpr_summary":4773},"fc2dde1b-1672-4b7b-a0fd-d3d5fcb9e026","AI-Assisted Professional Translation for Government","The Public Service Commission of Canada uses DeepL Pro, an advanced AI translation tool, to support its translation operations. The system provides professional-grade translation assistance to help PSC employees generate first-draft translations of internal documents more quickly and efficiently. DeepL Pro is not a replacement for human translators—instead, it serves as a first-line tool whose outputs are carefully reviewed, validated, and refined by certified human translation specialists before being finalized. This hybrid approach allows the department to optimize its translation budget while maintaining the quality and accuracy standards required for government communications.\n\nThe system processes only internal PSC documents and does not involve the collection or use of personal information about members of the public. The system is currently in production and has 25 licenses distributed to translation specialists and administrative personnel across the department as of mid-2025. Users should understand that while DeepL Pro accelerates the initial translation phase, all final outputs undergo human expert review to ensure they meet departmental style, accuracy, and contextual requirements.",[],{"purposes":4774,"decision_types":4777,"accountable":4779},[4775,4776],{"id":816,"title":239,"icon":237,"key":239},{"id":814,"title":314,"icon":312,"key":314},[4778],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":4767,"icon":75,"key":4767},{"id":4781,"headline":4782,"subtitle":12,"intro_body":4783,"labels":4784,"dtpr_summary":4785},"3fee67ff-548a-422f-9ab3-87a8accc1748","RCMP MS Copilot AI Productivity Assistant Pilot","The Royal Canadian Mounted Police (RCMP) is piloting MS Copilot, a generative AI productivity assistant developed by Microsoft. This system is designed to enhance employee productivity by providing AI-powered assistance to Government of Canada employees. Currently, the system is in pilot phase with potential for enterprise-wide deployment.\n\nMS Copilot operates exclusively with unclassified data and does not process personal information. The system functions as a productivity tool to help employees with routine tasks and information retrieval. As this technology is still in development, the RCMP is carefully evaluating its performance, reliability, and organizational impact before making decisions about broader implementation.\n\nEmployees should be aware that this is an experimental system and that their interactions may be monitored as part of the pilot evaluation. The RCMP is committed to responsible AI deployment and has initiated this pilot to assess how generative AI can effectively support government operations while maintaining appropriate safeguards.",[],{"purposes":4786,"decision_types":4788,"accountable":4790},[4787],{"id":816,"title":239,"icon":237,"key":239},[4789],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3844,"icon":69,"key":3844},{"id":4792,"headline":4793,"subtitle":12,"intro_body":4794,"labels":4795,"dtpr_summary":4796},"c5993941-d17e-4cd6-b29a-904e642b795c","AI-Powered Access to Information Redaction Assistant","ATIPXpress AI Functionality is an artificial intelligence system developed by Public Services and Procurement Canada (PSPC) to assist Government of Canada employees in processing Access to Information and Privacy (ATIP) requests. The system uses natural language processing, automated pattern recognition, and machine learning to suggest intelligent redactions of sensitive information from government documents, making the ATIP process faster and more consistent.\n\nThis AI assistant analyzes historical ATIP submissions, documentation, and redaction patterns to learn from past decisions and provide real-time suggestions to human reviewers. Employees use the system to improve both the accuracy and efficiency of the redaction process, reducing the time required to review documents while maintaining privacy protection standards.\n\nThe system is currently in development and will process personal information contained in ATIP submissions and historical government documents. All recommendations remain subject to human review and decision-making, ensuring that government employees maintain full control over what information is redacted and released.",[],{"purposes":4797,"decision_types":4799,"accountable":4801},[4798],{"id":706,"title":294,"icon":292,"key":294},[4800],{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":4419,"icon":75,"key":4419},{"id":4803,"headline":4804,"subtitle":12,"intro_body":4805,"labels":4806,"dtpr_summary":4807},"83b79a11-0bed-4b45-8ea5-e6eeffa517d8","AI-Powered Media Story Identification System","The Copyright Media Clearance Program (CMCP) is an AI pilot project developed by Public Services and Procurement Canada to automate the identification and prioritization of top news stories from licensed media monitoring feeds. The system uses artificial intelligence to analyze news content, detect topics, and rank stories by relevance and importance for Government of Canada analysts.\n\nThis system processes textual content and metadata from news articles to help federal employees more efficiently identify and summarize significant media coverage. The AI analyzes patterns in news content to automatically rank stories and detect emerging topics, reducing the time analysts spend manually reviewing large volumes of media feeds. As this system is still in development, it is being evaluated as an initial pilot project.\n\nKey transparency information: The system processes non-personal media content (does not involve personal information about individuals); it is used by Government of Canada employees; the technology is still being developed and tested; and it involves partnership with NewsDesk for data feeds and the National Research Council's AI Accelerator for development support.",[],{"purposes":4808,"decision_types":4811,"accountable":4814},[4809,4810],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[4812,4813],{"id":725,"title":726,"icon":727,"key":726},{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":4419,"icon":75,"key":4419},{"id":4816,"headline":4817,"subtitle":12,"intro_body":4818,"labels":4819,"dtpr_summary":4820},"5d0c4004-15b0-4e35-99fe-ef1f1a305861","AI Assistant Supporting Compensation Case Processing","The Human Capital Management Artificial Intelligence Virtual Assistant (AIVA) is an AI system currently in development by Public Services and Procurement Canada (PSPC) to support compensation agents in processing pay cases more efficiently. The system is designed to help reduce the existing backlog of cases by providing advice, information, and automated support for case closure tasks.\n\nAIVA works by analyzing compensation case data and reference materials from authorized government systems (Phoenix and CMT), policy manuals, and historical case notes. The system can classify documents, extract key information, validate data against rules and schemas, and integrate with existing workflows to provide compensation agents with dashboard summaries and recommendations.\n\nThis system processes personal information about Government of Canada employees and their compensation cases. The system is currently in development and will primarily be used by GC compensation agents. Citizens and employees should understand that their compensation case data may be analyzed by this AI system to support case processing decisions.",[],{"purposes":4821,"decision_types":4824,"accountable":4826},[4822,4823],{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[4825],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":4419,"icon":75,"key":4419},{"id":4828,"headline":4829,"subtitle":12,"intro_body":4830,"labels":4831,"dtpr_summary":4832},"e18f63fe-63c3-4c82-b95b-fcf67bffdb0c","AI-Powered Payment Fraud Detection System","The Receiver General – Fraud Detection (Payments) system is an artificial intelligence tool designed to identify unusual or potentially fraudulent payment activity across Government of Canada payment streams. The system analyzes payment metadata and historical transaction data to score and rank transactions by risk level, surfacing patterns that warrant closer examination by financial analysts.\n\nThis system augments existing fraud prevention controls by automating the detection of anomalous payment behavior that might indicate fraud, error, or other irregularities. Government employees use the system's analyst workbench to review flagged transactions and investigate high-risk patterns. The system includes explainability features to help analysts understand why specific transactions were flagged. This system is currently in development and involves the processing of personal information, though payment data is hashed or pseudonymized where applicable.",[],{"purposes":4833,"decision_types":4835,"accountable":4837},[4834],{"id":737,"title":319,"icon":317,"key":319},[4836],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":4419,"icon":75,"key":4419},{"id":4839,"headline":4840,"subtitle":12,"intro_body":4841,"labels":4842,"dtpr_summary":4843},"19e3c0b9-c31f-4b93-a39e-aa7136c3fcca","AI-Powered Policy Guidance Assistant for Government","The Enterprise Policy Chatbot is an artificial intelligence system developed by the Government of Canada to help employees quickly find answers to questions about Government of Canada and Public Services and Procurement Canada (PSPC) policies, standards, and procedures. The system uses advanced retrieval-augmented technology to search official policy documents and provide consistent guidance with proper source citations.\n\nThis system is designed for Government of Canada employees who need quick access to policy information. By providing immediate, accurate answers to common policy questions, the chatbot aims to reduce the burden on policy teams who currently handle repetitive inquiries, while ensuring all employees receive consistent guidance based on official sources.\n\nThe system does not collect or process personal information about users. It is currently in development and will include safeguards such as access controls and user feedback mechanisms to ensure accurate and appropriate responses.",[],{"purposes":4844,"decision_types":4847,"accountable":4849},[4845,4846],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[4848],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":4419,"icon":75,"key":4419},{"id":4851,"headline":4852,"subtitle":12,"intro_body":4853,"labels":4854,"dtpr_summary":4855},"865659fa-7437-4fed-9e2d-d9ea873c8c83","AI-Powered Child Exploitation Investigation Tool","Spotlight is an AI-powered platform developed by Thorn and operated by the Royal Canadian Mounted Police (RCMP) to help locate and identify exploited children who are publicly advertised on the internet. The system uses image and object recognition technology along with advanced open text searches to analyze open-source information available online. This tool assists law enforcement investigators in child trafficking and exploitation cases by helping them identify victims more efficiently.\n\nThe platform includes facial recognition technology that has been developed by the vendor but is currently disabled and not in use by RCMP personnel. The system processes personal information and is currently in production use by Government of Canada employees. Notifications are provided when the system is used in investigations. All processing relies on publicly available open-source information rather than data collected directly from individuals.",[],{"purposes":4856,"decision_types":4859,"accountable":4861},[4857,4858],{"id":758,"title":274,"icon":272,"key":274},{"id":737,"title":319,"icon":317,"key":319},[4860],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":3844,"icon":75,"key":3844},{"id":4863,"headline":4864,"subtitle":12,"intro_body":4865,"labels":4866,"dtpr_summary":4867},"a2699b08-5ed4-466e-a5af-a1b67499f942","AI-Assisted Child Exploitation Image Classification","LASERi-X is an artificial intelligence system deployed by the Royal Canadian Mounted Police to assist in the categorization and classification of child sexual exploitation material. The system uses image and object recognition technology to pre-qualify images as potential child exploitation material, with all decisions subject to human review and confirmation by trained law enforcement personnel.\n\nThis system is currently in production and is used by Government of Canada employees working in child exploitation investigations. The system processes lawfully obtained images and involves personal information in its operations. LASERi-X was developed by Semantics 21 and represents a significant tool in the fight against child sexual exploitation, combining automated detection capabilities with essential human oversight to ensure accuracy and accountability in this critical law enforcement function.",[],{"purposes":4868,"decision_types":4871,"accountable":4873},[4869,4870],{"id":737,"title":319,"icon":317,"key":319},{"id":758,"title":274,"icon":272,"key":274},[4872],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3844,"icon":69,"key":3844},{"id":4875,"headline":4876,"subtitle":12,"intro_body":4877,"labels":4878,"dtpr_summary":4879},"73003f55-572d-490b-a03c-7b46c19548cb","AI-Powered Audio Transcription and Translation","The Voice2Text application is an AI-powered system developed by the Royal Canadian Mounted Police (RCMP) to assist in the transcription and translation of audio files collected during investigations. The system uses OpenAI's open-source Whisper speech recognition model to convert spoken audio into text, helping investigators process and analyze audio evidence more efficiently.\n\nThis system processes personal information, including voices and speech content from lawfully obtained audio recordings. The application is currently in production and is used by Government of Canada employees involved in investigative work. When using this system, individuals should understand that their audio may be transcribed and analyzed by AI technology, and they have rights regarding how their personal information is handled and used.",[],{"purposes":4880,"decision_types":4883,"accountable":4885},[4881,4882],{"id":706,"title":294,"icon":292,"key":294},{"id":758,"title":274,"icon":272,"key":274},[4884],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":3844,"icon":69,"key":3844},{"id":4887,"headline":4888,"subtitle":12,"intro_body":4889,"labels":4890,"dtpr_summary":4891},"73c9df8b-9d2e-459d-a72c-4fa1010c73f4","Speech Recognition and Text-to-Speech for Workplace Accessibility","The Royal Canadian Mounted Police (RCMP) uses Dragon Naturally Speaking software to provide workplace accessibility accommodations for employees with disabilities. This system enables individuals to convert spoken words into text (speech-to-text) and written text into spoken audio (text-to-speech), allowing them to perform their work duties more effectively.\n\nThe system processes work-related information communicated by employees and is currently in production use. Primary users are Government of Canada employees who require accessibility accommodations. Please note: This system processes personal information as part of its operation, as it must recognize and process individual speech patterns to function effectively.\n\nThe software is developed and maintained by Nuance Communications Inc., a third-party vendor. Employees should be aware that their voice and work-related communications are being processed by this technology to enable their workplace accommodations.",[],{"purposes":4892,"decision_types":4894,"accountable":4896},[4893],{"id":874,"title":234,"icon":231,"key":234},[4895],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3844,"icon":69,"key":3844},{"id":4898,"headline":4899,"subtitle":12,"intro_body":4900,"labels":4901,"dtpr_summary":4902},"e1686e54-1034-4073-8da5-236178d3ffb9","Understanding Veterans' Concerns Through AI Analysis","Veterans Affairs Canada uses an AI system to automatically categorize topics discussed in comments submitted by veterans. This tool helps the department understand which issues matter most to the veteran community by organizing their feedback into meaningful subject categories. The system analyzes text comments and assigns them to relevant topics, allowing staff to identify trends and priorities in veteran concerns.\n\nThis system is currently retired and is no longer in active use. It was used by Government of Canada employees to process comments and improve service understanding. The system processes comments that may contain personal information from veterans, though the primary focus is on identifying topics of interest rather than individual data collection.",[],{"purposes":4903,"decision_types":4905,"accountable":4907},[4904],{"id":704,"title":309,"icon":307,"key":309},[4906],{"id":709,"title":710,"icon":488,"key":710},{"id":712,"title":1132,"icon":75,"key":1132},{"id":4909,"headline":4910,"subtitle":12,"intro_body":4911,"labels":4912,"dtpr_summary":4913},"3fb96576-57fc-4998-bdb2-e40423e79ab4","AI-Powered Video Search and Face Matching","BriefCam is an artificial intelligence system used by the Royal Canadian Mounted Police (RCMP) to assist in searching and analyzing lawfully obtained surveillance video recordings. The system uses advanced video analytics to help officers quickly review lengthy video files by automatically detecting and tracking vehicles, movements, and persons of interest within the footage.\n\nWhen law enforcement personnel identify a person of interest in surveillance video, BriefCam's Face Matching capability—a type of facial recognition technology—can help locate other occurrences of that same person throughout the video. It is important to note that Face Matching works only within the video being analyzed and cannot directly identify individuals by comparing their faces to external identification databases. The system is currently in production and is used by RCMP employees. This AI system processes personal information and has been notified to relevant oversight authorities.",[],{"purposes":4914,"decision_types":4917,"accountable":4920},[4915,4916],{"id":706,"title":294,"icon":292,"key":294},{"id":758,"title":274,"icon":272,"key":274},[4918,4919],{"id":775,"title":776,"icon":777,"key":776},{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":3844,"icon":69,"key":3844},{"id":4922,"headline":4923,"subtitle":12,"intro_body":4924,"labels":4925,"dtpr_summary":4926},"a2a21b9a-b962-4632-9cc4-603bc4ee1069","Detecting Obstructions in Canadian Waterways","Transport Canada has developed an artificial intelligence system to automatically detect obstructions within Canadian waterways. This system processes imagery and sensor data to identify obstacles that could impact navigation safety and waterway management. The system is used by Government of Canada employees to support waterway monitoring and maintenance operations.\n\nThe system analyzes incoming data to identify and flag potential obstructions such as debris, blockages, or other hazards in waterways. By automating this detection process, the system helps Transport Canada personnel respond more quickly to navigation hazards and maintain safe passage through Canadian waterways. This system does not involve the collection or use of personal information about individuals.",[],{"purposes":4927,"decision_types":4929,"accountable":4931},[4928],{"id":737,"title":319,"icon":317,"key":319},[4930],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":965,"icon":75,"key":965},{"id":4933,"headline":4934,"subtitle":12,"intro_body":4935,"labels":4936,"dtpr_summary":4937},"89c298f4-a4ce-4878-be5c-d2ca0491470b","AI System for Human Trafficking Investigation Support","Traffic Jam is an AI-powered investigation support system deployed by the Royal Canadian Mounted Police (RCMP) to help locate and identify exploited individuals in cases of human trafficking, missing persons, and child sexual exploitation. The system uses image and object recognition technology along with advanced text search capabilities to process open source information.\n\nThe system is currently in production and is used by Government of Canada employees involved in investigative work. While the platform includes facial recognition technology, this functionality has been disabled by the vendor for RCMP users and is not currently in use. The system processes personal information as part of its investigative function.\n\nThis transparency page provides information about how the system operates, what data it uses, what decisions it supports, and what safeguards are in place to protect individuals' rights.",[],{"purposes":4938,"decision_types":4940,"accountable":4942},[4939],{"id":758,"title":274,"icon":272,"key":274},[4941],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":3844,"icon":75,"key":3844},{"id":4944,"headline":4945,"subtitle":12,"intro_body":4946,"labels":4947,"dtpr_summary":4948},"432fc53b-0a12-4abe-ade2-12a6280d761d","AI-Powered IT Support Self-Service System","Veterans Affairs Canada is developing an AI-powered assistant to help Government of Canada employees resolve standard IT issues independently. This generative AI system, currently in development, uses retrieval-augmented generation technology to provide accurate answers based on VAC's IT Service Desk policies, procedures, and training resources.\n\nThe assistant is designed to reduce the workload on IT support teams by enabling self-service resolution of common technical problems. It does not process personal information and is built to provide consistent, policy-aligned guidance to all users. This system represents an effort to modernize IT service delivery across the federal government while maintaining high standards of accuracy and compliance.",[],{"purposes":4949,"decision_types":4952,"accountable":4954},[4950,4951],{"id":816,"title":239,"icon":237,"key":239},{"id":706,"title":294,"icon":292,"key":294},[4953],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1132,"icon":69,"key":1132},{"id":4956,"headline":4957,"subtitle":12,"intro_body":4958,"labels":4959,"dtpr_summary":4960},"2968785d-6476-4802-ba31-967d73a18671","AI-Powered Translation Tool for Government Documents","Statistics Canada has developed a specialized artificial intelligence system designed to assist professional translators and quality assurance officers in their day-to-day work. This machine translation tool, currently in development, uses advanced neural language processing to create initial translation drafts between English and French. Rather than replacing human translators, the system works alongside language experts as a productivity aid, helping to accelerate the translation workflow while maintaining quality standards.\n\nThe system is built on Microsoft Azure's Custom Translator technology and has been specially trained using Statistics Canada's own published materials and metadata in both official languages. This specialized training enables the translator to understand StatCan's unique terminology, formatting requirements, and institutional voice. The tool integrates seamlessly with existing computer-assisted translation (CAT) software used by GC employees, preserving document formatting from Microsoft products like Word.\n\nThis system does not process personal information. It is designed exclusively for use by Government of Canada employees who work in translation and linguistic services. The AI generates draft translations that are then reviewed and refined by qualified human linguists before final publication.",[],{"purposes":4961,"decision_types":4963,"accountable":4965},[4962],{"id":816,"title":239,"icon":237,"key":239},[4964],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":713,"icon":75,"key":713},{"id":4967,"headline":4968,"subtitle":12,"intro_body":4969,"labels":4970,"dtpr_summary":4971},"26d8ae73-8b4b-4042-a0e5-5fc2d1a6def1","AI Triage for Employment Insurance Benefit Recalculations","The Employment Insurance Recalculation Triage Machine Learning System is a tool developed by Employment and Social Development Canada (ESDC) to help manage a growing backlog of Employment Insurance (EI) benefit recalculation cases. Each year, approximately 300,000 recalculation work items are generated when new information or changes in circumstances require a review of an existing EI claim. This system uses a machine learning model to predict the likely outcome of each recalculation — whether it will result in an increase, decrease, or no change to a claimant's benefits — so that human officers can focus their attention on cases most likely to affect claimants.\n\nIf your EI claim is in the recalculation queue, this system may classify your case as low-priority (no anticipated change) or high-priority (likely change in benefits). Cases classified as having no change may be closed without a full manual review, while cases flagged as having a likely benefit change will be prioritized for officer attention. The system achieves approximately 90% accuracy in identifying no-change claims. Human officers retain the ability to override any system decision, and if you contact Service Canada about your file, an officer will proceed with a full recalculation regardless of the system's classification.\n\nThis system operates under the Treasury Board of Canada Secretariat's Directive on Automated Decision-Making and has undergone an Algorithmic Impact Assessment. A Privacy Impact Assessment has been completed, and personal information is used only to the extent necessary to deliver the EI program. The system uses a primary key de-identification method to protect personal data and operates within a closed system with no internet connectivity. If you believe a decision affecting your EI benefits is incorrect, a recourse process is available to challenge it.",[],{"purposes":4972,"decision_types":4974,"accountable":4977},[4973],{"id":704,"title":309,"icon":307,"key":309},[4975,4976],{"id":725,"title":726,"icon":727,"key":726},{"id":709,"title":710,"icon":488,"key":710},{"id":748,"title":763,"icon":69,"key":763},{"id":4979,"headline":4980,"subtitle":12,"intro_body":4981,"labels":4982,"dtpr_summary":4983},"922af32a-be73-4280-ae45-a54f4d003cac","AI-Assisted Triage for Visitor Visa Applications","Immigration, Refugees and Citizenship Canada (IRCC) uses an advanced data analytics system to help process overseas temporary resident (visitor) visa applications more efficiently. The system reviews application data and sorts applications into tiers based on their complexity. For straightforward applications that meet clear eligibility criteria, the system can automatically confirm that an applicant is eligible — helping to reduce wait times and manage a growing volume of requests. The system never refuses an application or recommends refusal; it only makes positive eligibility determinations.\n\nEven when the system approves an applicant's eligibility, a human immigration officer always reviews every application for admissibility and makes the final decision. Officers are not informed of the system's rules or analysis, ensuring each officer's review remains independent and individualized. If an officer discovers information during their review that may affect an eligibility determination, they have the authority to revisit it. All applications that are not automatically approved for eligibility receive a full, individualized assessment by an officer.\n\nThe system was developed with input from legal, policy, data science, and privacy experts, and was reviewed by experienced immigration officers and senior decision-makers. IRCC conducts regular monitoring and quality assurance to detect and address any unintended biases or performance issues. Applicants whose visa is refused can re-apply at any time, and a recourse process is available for those who wish to challenge a decision.",[],{"purposes":4984,"decision_types":4986,"accountable":4989},[4985],{"id":704,"title":309,"icon":307,"key":309},[4987,4988],{"id":744,"title":745,"icon":746,"key":745},{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":850,"icon":69,"key":850},{"id":4991,"headline":4992,"subtitle":12,"intro_body":4993,"labels":4994,"dtpr_summary":4995},"c8698b2c-92fc-426f-b663-72b526499461","Automated Mental Health Benefits Access for Veterans","Veterans Affairs Canada has developed an automated system to help veterans access mental health treatment benefits more quickly. Traditionally, veterans had to wait up to 16 weeks for their disability benefits application to be fully adjudicated before receiving any mental health coverage. This new system allows eligible veterans to receive mental health treatment coverage immediately upon applying for disability benefits — for up to two years or until a formal disability entitlement decision is made.\n\nThe system evaluates applications using personal information already held by the federal government, automatically determining eligibility based on specific criteria related to mental health conditions. If a final disability decision is reached during this period, coverage either continues seamlessly through Veterans Affairs Canada's Treatment Benefits program (if approved) or remains active until the end of the two-year eligibility window (if denied). This process is designed to reduce delays and ensure vulnerable veterans receive timely access to the mental health supports they need.\n\nVeterans should be aware that this automated system can render eligibility decisions without direct human involvement, though human override remains possible. Meaningful explanations are provided for any decision resulting in a denial of benefits. The system has been assessed at Impact Level 2, meaning it undergoes peer review and requires plain-language notices across all service delivery channels. Veterans who wish to understand or challenge a decision are encouraged to contact Veterans Affairs Canada directly.",[],{"purposes":4996,"decision_types":4999,"accountable":5001},[4997,4998],{"id":739,"title":289,"icon":287,"key":289},{"id":704,"title":309,"icon":307,"key":309},[5000],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1132,"icon":69,"key":1132},{"id":5003,"headline":5004,"subtitle":12,"intro_body":5005,"labels":5006,"dtpr_summary":5007},"15ebac60-82ed-4781-ac0b-b815ccb33b8b","AI-Powered Police Training Exercise Development","EASE (Exercise Architect Suite) is an AI-powered tool developed for the Royal Canadian Mounted Police to assist in the creation and development of training exercises. The system is currently in production and is used by Government of Canada employees to design realistic and effective training scenarios for police personnel.\n\nThis system does not involve the collection or processing of personal information about individuals. Instead, it focuses on generating training content and exercise scenarios based on specified parameters and requirements. The AI assists trainers and exercise developers in creating comprehensive training materials more efficiently.\n\nAs a tool for internal training exercise development, EASE helps the RCMP improve the quality and consistency of police training programs. Citizens should know that this system is used to enhance police training capabilities and does not involve surveillance, decision-making about individuals, or collection of personal data from the public.",[],{"purposes":5008,"decision_types":5012,"accountable":5014},[5009,5010,5011],{"id":814,"title":314,"icon":312,"key":314},{"id":816,"title":239,"icon":237,"key":239},{"id":704,"title":309,"icon":307,"key":309},[5013],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":3844,"icon":75,"key":3844},{"id":5016,"headline":5017,"subtitle":12,"intro_body":5018,"labels":5019,"dtpr_summary":5020},"9bbd7085-9714-443f-842a-c3657bea5665","AI-Powered Cybercrime Intelligence Coordination","The National Cybercrime Solution (NCS) is an AI-powered system managed by the Royal Canadian Mounted Police (RCMP) that coordinates complex cybercrime and fraud cases across Canada and internationally. The system uses artificial intelligence to categorize data, recognize patterns and entities, and assess risks to help law enforcement and security partners make informed decisions about cybercrime investigations.\n\nThis system is currently in production and is used by Government of Canada employees working in law enforcement and cybersecurity. The NCS processes personal information to help identify criminal patterns and coordinate between multiple agencies. The system was developed in part by the RCMP, with support from FTI Consulting Inc. and Hubstream, and incorporates data from partner organizations and public reports.\n\nCitizens and organizations should be aware that information they report about cybercrime or fraud may be processed by this AI system as part of the RCMP's efforts to coordinate investigations and produce intelligence for law enforcement partners in Canada and abroad.",[],{"purposes":5021,"decision_types":5023,"accountable":5025},[5022],{"id":758,"title":274,"icon":272,"key":274},[5024],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":3844,"icon":75,"key":3844},{"id":5027,"headline":5028,"subtitle":12,"intro_body":5029,"labels":5030,"dtpr_summary":5031},"42832ed3-ebb7-4d9b-b96e-b701c0341fc8","AI-Powered Translation for Government Communications","DeepL Pro is an artificial intelligence-powered translation system deployed by the Royal Canadian Mounted Police to automatically translate unclassified government documents and communications. The system is currently in production and is used by Government of Canada employees to improve multilingual communications and document processing efficiency.\n\nThis system uses advanced neural machine translation technology to convert text between languages while maintaining accuracy and context. The translation service operates exclusively on unclassified information, ensuring that sensitive or classified materials are not processed through the system.\n\nThe system does not involve or process personal information. Citizens and the public should be aware that this is an internal government tool used to support official communications. If you have questions about how government documents are translated or processed, you can contact the Royal Canadian Mounted Police through standard government channels.",[],{"purposes":5032,"decision_types":5034,"accountable":5036},[5033],{"id":706,"title":294,"icon":292,"key":294},[5035],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3844,"icon":69,"key":3844},{"id":5038,"headline":4876,"subtitle":12,"intro_body":5039,"labels":5040,"dtpr_summary":5041},"ba92b7c8-ace9-4543-bf92-11f27356a4d6","Echo is a web-based application developed by the Royal Canadian Mounted Police that automatically generates formatted transcripts from audio and video recordings. The system uses open-source large language models combined with custom development to ensure secure formatting and distribution of transcribed content. This tool is currently in production and is designed to support Government of Canada employees in their work with lawfully obtained recordings.\n\nThe system processes personal information as part of its transcription and translation functions. Users should be aware that Echo automatically converts spoken content into written text and can translate between languages. All transcription activities are conducted using open-source technology with custom security measures built in to protect the integrity of the output.\n\nThis transparency page provides details about how Echo operates, what data it processes, the decisions it makes, and the safeguards in place to protect your information when using this service.",[],{"purposes":5042,"decision_types":5044,"accountable":5046},[5043],{"id":706,"title":294,"icon":292,"key":294},[5045],{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":3844,"icon":69,"key":3844},{"id":5048,"headline":5049,"subtitle":12,"intro_body":5050,"labels":5051,"dtpr_summary":5052},"e8829739-a538-433a-b423-5f098865f2a5","Automated Verification for Student Loan Repayment Assistance","The Repayment Assistance Plan Enhanced Verification Model (RAP-EVM) is an automated system used by Employment and Social Development Canada (ESDC) to verify information submitted by student loan borrowers applying for repayment assistance. When a borrower applies for the Repayment Assistance Plan (RAP), the system uses pre-established business rules to identify applications that may carry a higher risk of misreported information — such as unusual changes in family size, zero-income claims, or income reported just below the zero-payment threshold. For these selected applications, the system securely requests tax data from the Canada Revenue Agency (CRA) and compares it against what the borrower reported.\n\nIf the information matches, the application proceeds normally and the borrower may experience a faster decision. If discrepancies are found, the borrower is asked to provide additional documentation, which is then reviewed by a human agent before a final approval or refusal is made. This means the system supports — but does not fully replace — human decision-making in cases where further review is needed. Borrowers who are refused can request reconsideration or re-adjudication, and RAP approval periods last six months, after which borrowers may reapply.\n\nRAP-EVM was introduced following a 2020 audit by the Office of the Auditor General, which recommended that ESDC systematically verify RAP applications to protect public funds. A Privacy Impact Assessment was completed in November 2023 and shared with the Office of the Privacy Commissioner of Canada. The system is classified as a low-impact automated decision system under the federal Directive on Automated Decision-Making. Borrowers' personal information is protected under ESDC's and CRA's legal authorities and is only accessible to authorized personnel with appropriate security clearances.",[],{"purposes":5053,"decision_types":5056,"accountable":5059},[5054,5055],{"id":704,"title":309,"icon":307,"key":309},{"id":758,"title":274,"icon":272,"key":274},[5057,5058],{"id":744,"title":745,"icon":746,"key":745},{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":763,"icon":69,"key":763},{"id":5061,"headline":5062,"subtitle":12,"intro_body":5063,"labels":5064,"dtpr_summary":5065},"83b7e04a-0a5a-4ebb-83e6-d9ebbca048be","AI-Assisted Eligibility Assessment for Spousal Immigration","Immigration, Refugees and Citizenship Canada (IRCC) uses an advanced analytics system to help process applications from spouses and common-law partners seeking permanent residence in Canada. The system was created to address a backlog of applications and help IRCC meet its processing targets by automatically determining whether certain applicants meet eligibility requirements. The system analyzes data elements submitted in applications to triage cases and automate some positive eligibility determinations for both Sponsors and Principal Applicants.\n\nThis system only makes positive decisions — it never refuses an application or recommends a refusal. If the system determines an applicant is eligible, the application is still forwarded to an immigration officer who makes the final decision. Any application the system cannot approve is given a full individualized review by a human officer, following standard practice. Officers are not told what analysis the system performed, ensuring each officer assessment remains independent and individualized.\n\nThe system was reviewed by experienced immigration officers, legal and policy experts, data scientists, and privacy specialists to ensure its rules are logical, transparent, and aligned with established eligibility criteria. Regular monitoring and quality assurance are in place to detect and address any unintended outcomes such as bias or discrimination. Applicants whose cases are refused at any stage retain the right to challenge those decisions through existing recourse processes.",[],{"purposes":5066,"decision_types":5068,"accountable":5071},[5067],{"id":704,"title":309,"icon":307,"key":309},[5069,5070],{"id":744,"title":745,"icon":746,"key":745},{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":850,"icon":69,"key":850},{"id":5073,"headline":5074,"subtitle":12,"intro_body":5075,"labels":5076,"dtpr_summary":5077},"3f3352b9-712e-4e38-8f49-f13719fa49ae","AI Triage System for EI Claim Recalculations","Employment and Social Development Canada (ESDC) uses a machine learning model to help manage a backlog of older Employment Insurance (EI) claim recalculations. The system classifies each claim into one of three categories: an increase in benefit rate, a decrease in benefit rate, or no change in benefit rate. This allows program staff to close claims that are unlikely to result in any change and to prioritize those where a claimant may be owed a different benefit amount.\n\nThis system affects Canadians who have previously filed EI claims that were flagged for recalculation. The model identifies with approximately 90% accuracy those claims where no change would result, helping direct human attention to cases most likely to impact claimants. In the worst-case scenario, a claim entitled to a higher benefit could be misclassified as 'no change,' with estimated losses of $300 (median) or $900 (average) per affected individual. All impacted claims are older, no longer active, and do not affect current or future benefit entitlements.\n\nThe system is classified as Impact Level 2 under the Government of Canada's Directive on Automated Decision-Making. Decisions can be made without direct human involvement, but a human override mechanism is in place. A recourse process exists for claimants who wish to challenge a decision. Internal consultations were conducted with Data Governance, Legal Services, Program Policy, Communications, and the Access to Information and Privacy Office, and a Privacy Impact Assessment has been completed.",[],{"purposes":5078,"decision_types":5080,"accountable":5082},[5079],{"id":704,"title":309,"icon":307,"key":309},[5081],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":763,"icon":69,"key":763},{"id":5084,"headline":5085,"subtitle":12,"intro_body":5086,"labels":5087,"dtpr_summary":5088},"4bc4f636-c18d-4454-b48f-6959a77d7e25","AI-Powered Chatbot for Government Employees","CANChat is a generative AI chatbot pilot developed by Shared Services Canada to provide Government of Canada employees with access to secure, sovereign artificial intelligence tools. The system uses Large Language Models to enable multi-function AI assistance while maintaining strict security and data sovereignty standards.\n\nThe system is currently in production and is primarily used by GC employees seeking general-purpose AI assistance. CANChat is designed to operate securely within Canada's regulatory environment while providing cost-effective access to generative AI capabilities. The platform prioritizes made-in-Canada solutions where available and uses open-source technology (Open WebUI) to ensure transparency and control.\n\nThis AI system does not involve collection or processing of personal information beyond what is necessary for authentication and service delivery. All processing is conducted securely within Canadian jurisdiction to protect employee data and government operations.",[],{"purposes":5089,"decision_types":5092,"accountable":5094},[5090,5091],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},[5093],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3988,"icon":69,"key":3988},{"id":5096,"headline":5097,"subtitle":12,"intro_body":5098,"labels":5099,"dtpr_summary":5100},"51d08b27-4f9e-469c-81ae-2d1543555da6","AI-Powered Language Model for Canadian Government","The GC LLM (GC Large Language Model) is an artificial intelligence system developed by Shared Services Canada that fine-tunes an open-source language model to provide responses grounded in Canadian context and knowledge. For example, the system correctly identifies that Parliament is located in Ottawa, not London, and applies specialized Canadian understanding across government operations.\n\nThis system is currently in production and is used by Government of Canada employees who need language understanding and generation capabilities tailored to Canadian government contexts. The model does not involve the processing of personal information. It was developed in part by Shared Services Canada and leverages technology from Meta, utilizing historical data collected from Library and Archives Canada to build and refine its knowledge base.",[],{"purposes":5101,"decision_types":5103,"accountable":5105},[5102],{"id":706,"title":294,"icon":292,"key":294},[5104],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":3988,"icon":75,"key":3988},{"id":5107,"headline":5108,"subtitle":12,"intro_body":5109,"labels":5110,"dtpr_summary":5111},"0a1d9dac-8215-474d-92ef-af6d6b68f632","AI-Powered Client Satisfaction Analysis System","The Client Satisfaction Feedback Initiative (CSFI) uses artificial intelligence to analyze sentiment from surveys completed by Shared Services Canada's (SSC) partners and clients. The system processes regular survey feedback to measure client satisfaction with SSC's delivered services and help the organization understand how well it is meeting client needs.\n\nThis system extracts emotional tone and subjective information from survey responses to identify patterns in client satisfaction. The analysis helps SSC leadership understand client perspectives and make data-driven decisions about service improvements. The system currently operates in production and is used by Government of Canada employees who manage client relationships and service delivery.\n\nImportantly, this system does not process personal information—it analyzes aggregated survey feedback to extract satisfaction sentiment rather than tracking individual respondents. The AI capability focuses purely on understanding client sentiment patterns to support organizational planning and decision-making.",[],{"purposes":5112,"decision_types":5114,"accountable":5116},[5113],{"id":704,"title":309,"icon":307,"key":309},[5115],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":3988,"icon":75,"key":3988},{"id":5118,"headline":5119,"subtitle":12,"intro_body":5120,"labels":5121,"dtpr_summary":5122},"c3f2db1f-9416-45ac-8bf0-53a1d8818af7","Remote Immigration Reporting via Facial Comparison Technology","The Canada Border Services Agency (CBSA) has developed a voluntary smartphone app called ReportIn (supported by the Client Reporting and Engagement System, or CRES) to allow foreign nationals and permanent residents subject to immigration enforcement conditions to report to the CBSA remotely, instead of attending a CBSA office in person. When an individual reports through the app, they submit five facial photos from different angles and their GPS location. Amazon Rekognition software then compares these photos to a reference photo taken at enrollment and generates a similarity score indicating whether the person reporting is the same person subject to reporting conditions.\n\nThe system is designed as an alternative to detention and in-person reporting, making it easier for people to comply with their conditions regardless of geographic distance, employment obligations, or childcare responsibilities. All reports undergo 100% human review by a trained CBSA officer (ATD Monitoring Centre Officer), who makes the final match or no-match decision. If a case cannot be resolved at that level, it is escalated through two additional review levels before any enforcement action is considered.\n\nThe public should know that this system uses facial biometric data, which is sensitive personal information. Participation is voluntary and requires individual consent. Data is stored on Canadian cloud servers (AWS Government Cloud in Canada) and is subject to a Privacy Impact Assessment. A third-party bias evaluation (by Credo AI on behalf of Amazon) found a 99.9% facial match rate across six demographic groups. Individuals have the right to contest decisions and will be given the opportunity to provide information or evidence during any follow-up investigation.",[],{"purposes":5123,"decision_types":5127,"accountable":5129},[5124,5125,5126],{"id":758,"title":274,"icon":272,"key":274},{"id":737,"title":319,"icon":317,"key":319},{"id":874,"title":234,"icon":231,"key":234},[5128],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1349,"icon":69,"key":1349},{"id":5131,"headline":5132,"subtitle":12,"intro_body":5133,"labels":5134,"dtpr_summary":5135},"bc6d4ea3-d379-4357-87fc-164c1a5c9f99","AI-Assisted Export Shipment Risk Assessment Tool","The Export Compliance Dashboard is a decision-support tool used by Canada Border Services Agency (CBSA) officers to help identify export shipments that may be non-compliant with Canadian customs regulations. The system analyzes export declaration data submitted by exporters and shippers — such as business numbers, container numbers, commodity codes, declared values, and country of destination — and compares this information against historical records to generate a risk probability score. It also flags shipments where specific data points appear to be missing or unusual.\n\nThis tool does not make decisions on its own. CBSA officers use the risk scores and anomaly flags as one of several sources of information when deciding whether to physically examine a shipment. The goal is to help officers focus their attention on higher-risk shipments, improving the detection of contraband (such as stolen vehicles) while reducing unnecessary examinations of compliant, low-risk shipments.\n\nMembers of the public and export industry should know that the system operates as a supplement to existing CBSA systems and officer expertise. Any shipment may still be examined under the Customs Act regardless of its risk score. Exporters whose shipments are flagged or examined retain the right to challenge decisions through existing CBSA recourse processes. The algorithm used by the system is treated as a trade secret for security reasons, though the system's role in the decision-making process is disclosed publicly through this transparency page.",[],{"purposes":5136,"decision_types":5139,"accountable":5142},[5137,5138],{"id":758,"title":274,"icon":272,"key":274},{"id":737,"title":319,"icon":317,"key":319},[5140,5141],{"id":911,"title":912,"icon":913,"key":912},{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":1349,"icon":69,"key":1349},{"id":5144,"headline":5145,"subtitle":12,"intro_body":5146,"labels":5147,"dtpr_summary":5148},"13f772d8-c8d9-4784-b4b5-4a1ed1c9be22","Automated Passport Renewal Processing for Canadians","Immigration, Refugees and Citizenship Canada (IRCC) has introduced an automated decision-making system as part of the Passport Program Modernization Initiative. The system processes routine, low-risk adult passport renewal applications through the Global Case Management System, automatically verifying an applicant's identity, citizenship eligibility, and entitlement to a passport. This automation mirrors the manual checks previously performed by passport officers and is authorized under the amended Canadian Passport Order (2019).\n\nThe system only renders positive decisions — meaning it will only approve applications that clearly meet all established requirements. If any complexity is detected, such as a first-time application, a child's application, or any case that might result in a refusal, revocation, or cancellation, the system automatically routes the file to a human passport officer for review. This ensures that no negative decision affecting an individual's right to a passport is ever made without human oversight.\n\nCitizens should know that their personal information (classified up to Protected B) is used within this process, and that robust audit trails, recourse mechanisms, and human override capabilities are in place. Individuals who wish to challenge a passport decision have access to a formal recourse process. The system has been reviewed by the Office of the Privacy Commissioner and assessed under the Government of Canada's Directive on Automated Decision-Making.",[],{"purposes":5149,"decision_types":5152,"accountable":5154},[5150,5151],{"id":741,"title":304,"icon":302,"key":304},{"id":704,"title":309,"icon":307,"key":309},[5153],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":850,"icon":69,"key":850},{"id":5156,"headline":5157,"subtitle":12,"intro_body":5158,"labels":5159,"dtpr_summary":5160},"dbf38a27-8600-4c28-b1d7-fb25cf066fce","Automated Eligibility Processing for Family Reunification Applications","Immigration, Refugees and Citizenship Canada (IRCC) has introduced automated tools to help process Family Class overseas spouse and partner applications more efficiently. The system automatically approves eligibility for certain straightforward sponsorship and principal applicant cases, and sorts all Family Class overseas spouse and partner applications based on common characteristics. This is designed to reduce wait times and help IRCC meet its immigration processing targets under the Family Reunification program.\n\nThe system only makes positive eligibility decisions — it never refuses an application or recommends a refusal. Any application that cannot be automatically approved receives a full, individualized review by a trained immigration officer. For applications where eligibility is approved automatically, the admissibility portion of the application is still sent to an officer for final review and decision. Officers retain final decision-making authority in all cases.\n\nClients should know that the automated tools use data they submitted as part of their application, drawn from IRCC's existing case management systems. The system is classified at Impact Level 2 under the Government of Canada's Directive on Automated Decision-Making, meaning it is subject to requirements including plain-language notices, meaningful explanations for any denials (made by humans), recourse processes, and ongoing quality assurance. Clients who wish to challenge a decision have access to established recourse mechanisms.",[],{"purposes":5161,"decision_types":5163,"accountable":5168},[5162],{"id":704,"title":309,"icon":307,"key":309},[5164,5165,5166],{"id":744,"title":745,"icon":746,"key":745},{"id":725,"title":726,"icon":727,"key":726},{"id":863,"title":5167,"icon":488,"key":5167},"Positive-Only Automated Decision",{"id":748,"title":850,"icon":69,"key":850},{"id":5170,"headline":5171,"subtitle":12,"intro_body":5172,"labels":5173,"dtpr_summary":5174},"8133fb29-9310-4c65-a85d-5d831f72879d","AI-Powered Security Control Assessment Tool","Turbo SA\u002FA is an artificial intelligence system currently in development by the Government of Canada to streamline and improve the security assessment process. The system uses generative AI and retrieval augmented generation technology to assist security assessors in evaluating evidence against Information Technology Security Guidelines (ITSG) controls more efficiently and consistently.\n\nThis system is designed for Government of Canada employees who conduct security assessments as part of their professional responsibilities. The system does not involve the collection or processing of personal information about individuals. Instead, it focuses on analyzing security documentation and artifacts to provide targeted guidance and support to assessors during the evaluation process.\n\nThe system is built on CANchat, Canada's generative AI platform, and is designed to enhance assessor decision-making by retrieving relevant control information and helping match evidence to security requirements. This transparency page provides information about how the system works, what data it processes, and how it supports the security assessment workflow.",[],{"purposes":5175,"decision_types":5177,"accountable":5179},[5176],{"id":704,"title":309,"icon":307,"key":309},[5178],{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":3988,"icon":75,"key":3988},{"id":5181,"headline":5182,"subtitle":12,"intro_body":5183,"labels":5184,"dtpr_summary":5185},"aebdd280-4389-47a0-8844-991b054d9e78","AI-Powered Tariff Consultation Processing","Insight AI is an artificial intelligence system developed by the Government of Canada to automate and streamline the processing of tariff consultations. The system uses generative AI and robotic process automation technology to collect consultation data, analyze industry information, and generate initial draft responses for government analysts and stakeholders.\n\nThe system is currently in production and is used by Government of Canada employees who work with tariff consultations. It does not process personal information about individuals, focusing instead on tariff-related business data and industry consultation materials.\n\nThis AI system is designed to improve the efficiency of tariff consultation processing while ensuring that human analysts retain oversight and decision-making authority over final responses. The automation handles routine data collection and initial drafting tasks, allowing experts to focus on analysis and policy considerations.",[],{"purposes":5186,"decision_types":5188,"accountable":5190},[5187],{"id":704,"title":309,"icon":307,"key":309},[5189],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":3988,"icon":75,"key":3988},{"id":5192,"headline":5193,"subtitle":12,"intro_body":5194,"labels":5195,"dtpr_summary":5196},"af741c79-ceba-43ed-9016-e4d0b0078d4c","AI-Powered Fire Risk Detection Near Railways","Transport Canada has developed an artificial intelligence system that uses drone-mounted lidar technology to assess vegetation dryness and detect fire risk near railway lines. This system analyzes lidar data to identify areas of dry vegetation that could pose a fire hazard to rail infrastructure and surrounding communities.\n\nThe system is used by Government of Canada employees to monitor vegetation conditions along rail corridors and support decision-making around fire prevention and vegetation management. By automating the analysis of lidar data, the system helps identify high-risk areas more quickly and efficiently than manual inspections alone.\n\nThis system does not involve the collection or use of personal information about individuals. It focuses exclusively on analyzing environmental data about vegetation and landscape conditions near rail lines.",[],{"purposes":5197,"decision_types":5199,"accountable":5201},[5198],{"id":737,"title":319,"icon":317,"key":319},[5200],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":965,"icon":75,"key":965},{"id":5203,"headline":5204,"subtitle":12,"intro_body":5205,"labels":5206,"dtpr_summary":5207},"3745deea-0756-479e-b4bd-1cc78e416c30","AI-Powered Ministerial Correspondence Routing","Ministerial Correspondence is an intelligent automation system designed to process and route correspondence requests from the public to the appropriate subject matter experts within government. Developed collaboratively by Shared Services Canada and Canadian Heritage, this system uses generative AI to analyze incoming correspondence and provide initial responses while directing requests to the most qualified experts for detailed handling.\n\nThis system affects both government employees who use it to manage correspondence workflow and members of the public whose correspondence is processed by the system. The AI helps prioritize requests and ensures they reach the right departments quickly, improving response times and service quality.\n\nKey transparency information: This system is currently in development, is used by Government of Canada employees, and does process information that may include personal details from public correspondence.",[],{"purposes":5208,"decision_types":5211,"accountable":5213},[5209,5210],{"id":816,"title":239,"icon":237,"key":239},{"id":706,"title":294,"icon":292,"key":294},[5212],{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":3988,"icon":75,"key":3988},{"id":5215,"headline":5216,"subtitle":12,"intro_body":5217,"labels":5218,"dtpr_summary":5219},"af850697-d3fd-4a29-a453-bda79d2500c9","AI-Powered Internal Translation for Government","TC Translate is an internal artificial intelligence translation system developed by Transport Canada and deployed across the Government of Canada. The system uses machine translation technology trained on specialized government terminology databases (Termium and Logiterm) to automatically translate both free-text and documents between English and French. This system is currently in production and is used by Government of Canada employees for low-risk translation tasks.\n\nThe system is designed to improve translation quality and consistency while reducing the time and cost associated with professional translation services. By leveraging machine learning trained on official Canadian government bilingual resources, TC Translate aims to provide more reliable translations that require less post-translation editing. The system does not process personal information, making it suitable for internal administrative and operational translation needs.\n\nThis AI system is subject to transparency and accountability requirements. Government employees using the system should understand how the translations are generated and that while the system produces high-quality results for most content, some documents may still require professional human review, particularly for sensitive or high-stakes communications.",[],{"purposes":5220,"decision_types":5223,"accountable":5225},[5221,5222],{"id":3236,"title":249,"icon":247,"key":249},{"id":706,"title":294,"icon":292,"key":294},[5224],{"id":775,"title":776,"icon":777,"key":776},{"id":712,"title":965,"icon":75,"key":965},{"id":5227,"headline":5228,"subtitle":12,"intro_body":5229,"labels":5230,"dtpr_summary":5231},"d073ecdb-c9a6-4966-89d3-623cdee6726e","AI-Powered Resume Skill Extraction and Ranking","CV Analyzer is an intelligent automation tool currently in development by the Government of Canada that assists hiring managers in reviewing job applications. The system automatically extracts and ranks critical skills from submitted resumes, providing a preliminary analysis to support human decision-making in the hiring process. This tool is designed to help hiring managers focus their attention on applications that best match required competencies.\n\nThe system processes personal information contained in job applications, including candidate qualifications, work experience, and skills. Hiring managers at Government of Canada departments use this tool to perform initial screening and skill assessment before conducting detailed human review of applications.\n\nAs this system is still in development, the Government of Canada is carefully evaluating how it will be implemented and managed to ensure fair and transparent hiring practices. The tool is intended to support, not replace, human judgment in hiring decisions.",[],{"purposes":5232,"decision_types":5234,"accountable":5236},[5233],{"id":704,"title":309,"icon":307,"key":309},[5235],{"id":725,"title":726,"icon":727,"key":726},{"id":712,"title":3988,"icon":75,"key":3988},{"id":5238,"headline":4692,"subtitle":12,"intro_body":5239,"labels":5240,"dtpr_summary":5241},"e0177c21-6b5a-467c-91a7-0c76446544eb","The Survey Analysis System is an AI-powered tool designed to process and analyze large volumes of survey responses from committee members. Operated by the Social Sciences and Humanities Research Council of Canada (SSHRC) and currently in production, this system helps government employees efficiently manage and understand feedback from committee surveys.\n\nThis system uses automated analysis to identify patterns and themes across many survey responses, reducing the time needed for manual review. Government employees use these insights to improve committee operations and decision-making processes. The system is currently operational and involves the processing of survey data from committee members.\n\nKey transparency information: This system is used by Government of Canada employees, is currently in production, and processes survey response data. The technology was developed by a vendor (Softchoice Corporation) and helps SSHRC analyze committee member feedback at scale.",[],{"purposes":5242,"decision_types":5244,"accountable":5246},[5243],{"id":704,"title":309,"icon":307,"key":309},[5245],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":5247,"icon":69,"key":5247},"Social Sciences and Humanities Research Council of Canada (SSHRC)",{"id":5249,"headline":5250,"subtitle":12,"intro_body":5251,"labels":5252,"dtpr_summary":5253},"70ac2e01-7128-48cd-b37e-91317e122bec","AI-Powered Testing and Customer Support System","Azure AI Foundry is an AI platform currently in development by the Social Sciences and Humanities Research Council of Canada (SSHRC) in partnership with Microsoft. The system serves two primary functions: automating quality assurance and test processes, and enabling custom chatbots that use organizational data to provide secure, policy-compliant responses to users.\n\nThe platform is designed for Canadian government employees who need enhanced testing capabilities and improved access to organizational information. It uses artificial intelligence models to generate, execute, and validate test cases, which improves both the accuracy and efficiency of software testing. Additionally, the system explores the creation of intelligent chatbots that can understand and respond to user queries based on organizational knowledge while maintaining security and compliance with government policies.\n\nPlease note: This system is currently in development. The platform may involve processing of personal information depending on its final implementation and the data used to train the chatbot models. Users should be aware of the system's status and understand how their data may be used as the platform continues to evolve.",[],{"purposes":5254,"decision_types":5258,"accountable":5262},[5255,5257],{"id":4709,"title":5256,"icon":488,"key":5256},"Quality Assurance and Test Automation",{"id":816,"title":239,"icon":237,"key":239},[5259,5261],{"id":4714,"title":5260,"icon":488,"key":5260},"Test Case Generation",{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":5247,"icon":69,"key":5247},{"id":5264,"headline":4678,"subtitle":12,"intro_body":5265,"labels":5266,"dtpr_summary":5267},"59c58833-a69f-4e27-9bfd-410f1e82b85a","Kudo AI is an artificial intelligence system that provides closed captioning and simultaneous interpretation services for Government of Canada employees. The system processes audio input in real-time to generate accurate captions and interpret content across multiple languages, making communication more accessible during meetings, events, and presentations.\n\nThis system is currently in production and is developed and operated by a vendor partner. The service enhances accessibility by enabling employees with hearing impairments or language barriers to fully participate in workplace communications. Users should be aware that the system processes audio content to deliver these accessibility features, though the specific handling of personal information has not been formally documented in available assessments.",[],{"purposes":5268,"decision_types":5270,"accountable":5272},[5269],{"id":874,"title":234,"icon":231,"key":234},[5271],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":5247,"icon":75,"key":5247},{"id":5274,"headline":5275,"subtitle":12,"intro_body":5276,"labels":5277,"dtpr_summary":5278},"3146a7c6-f410-4b8c-98c1-58b42882180d","Automated Customs Compliance and Duty Assessment for Importers","The CBSA Assessment and Revenue Management (CARM) system is a rules-based automated decision system operated by the Canada Border Services Agency (CBSA). It was created to modernize and simplify how the CBSA assesses and collects duties and taxes on commercial goods imported into Canada — replacing decades-old, paper-based processes with a digital, automated platform. CARM helps protect approximately $40 billion in annual government revenue while making it easier for importers, customs brokers, carriers, and other Trade Chain Partners (TCPs) to meet their legal obligations.\n\nFor importers and trade partners, CARM means a single online portal to submit accounting declarations, make payments, enrol in commercial programs, and manage appeals. The system automatically calculates duties and taxes, validates submitted data against legal requirements, and generates lists of potentially non-compliant transactions for review by CBSA officers. Importantly, no shipments are stopped at the border as a result of CARM's automated outputs — all compliance actions follow a post-entry verification model with human officers making final decisions.\n\nCitizens and trade partners should know that CBSA officers review all system-generated outputs before any compliance action is taken, and that recourse mechanisms are available to challenge any assessment. The system uses commercial data (such as tariff classifications, declared values, and business registration information) and is governed by the Customs Act and other federal legislation. Personal information is handled in accordance with the Privacy Act, and an updated Privacy Impact Assessment was approved in April 2024.",[],{"purposes":5279,"decision_types":5282,"accountable":5284},[5280,5281],{"id":704,"title":309,"icon":307,"key":309},{"id":758,"title":274,"icon":272,"key":274},[5283],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":1349,"icon":69,"key":1349},{"id":5286,"headline":5287,"subtitle":12,"intro_body":5288,"labels":5289,"dtpr_summary":5290},"238c876c-4f86-4fe0-a057-720a26c90d49","AI-Powered Behavioural Assessment for Government Hiring","The Treasury Board Secretariat (TBS) is piloting an AI-powered system called Knockri to help assess job candidates during the hiring process. The system administers structured behavioural interviews automatically, asking candidates a set of questions and analyzing their audio responses to measure job-relevant behavioural attributes. This tool was introduced to reduce the time and cost of in-person interviews, allow all candidates an equal opportunity to be assessed, and minimize human rater bias in the evaluation process.\n\nWhen a candidate responds to interview questions, their audio is transcribed into text and analyzed by a natural language processing model. The system generates scores indicating how well a candidate demonstrated specific behaviours linked to job performance. These scores are provided to HR advisors as one of several inputs in the hiring process — the final decision to hire or not hire always remains with a human HR advisor or hiring manager. Candidates are not obligated to use the automated system and may request an in-person alternative assessment at any time.\n\nThis pilot covers approximately 350 Administrative Services (AS-01\u002FAS-02) and Executive (EX-01) candidates. Candidates are informed before participation about how their data will be used, and they have the right to request deletion of their personal information after the assessment. TBS is committed to transparency and fairness: performance testing will examine whether the system performs equally across demographic groups, and an audit trail is maintained for all assessment results.",[],{"purposes":5291,"decision_types":5294,"accountable":5297},[5292,5293],{"id":704,"title":309,"icon":307,"key":309},{"id":758,"title":274,"icon":272,"key":274},[5295,5296],{"id":725,"title":726,"icon":727,"key":726},{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":3147,"icon":69,"key":3147},{"id":5299,"headline":5300,"subtitle":12,"intro_body":5301,"labels":5302,"dtpr_summary":5303},"d03c9a12-942d-4e2e-a5f3-66e5e94f8d33","AI Assistant Supporting Federal Pay Case Resolution","Public Works and Government Services Canada (PWGSC) has developed an AI assistant to help compensation agents (CAs) work through a large backlog of federal pay cases caused by the Phoenix Pay System. The tool analyzes case data and compares it against approved standard operating procedures, job aids, directives, and policies to provide CAs with relevant information and recommendations. It currently operates on synthetic (non-real) data for a specific type of pay case called 'actings' that are over 365 days old.\n\nThis system does not make decisions on its own. Compensation agents retain full decision-making authority and review every AI recommendation before any action is taken. The AI is designed to reduce the time agents spend manually looking up information, freeing them to focus on more complex aspects of case resolution. Early testing has shown an average 22% reduction in the time it takes to handle each case.\n\nPublic servants affected by pay issues benefit indirectly as their cases can be resolved more quickly. The Government of Canada is committed to transparency about how this system works: each recommendation produced by the AI includes an explanation of the steps taken to arrive at it, and a full audit trail is maintained. Individuals whose pay cases are affected have the right to understand how the AI contributed to any decision and to seek recourse if needed.",[],{"purposes":5304,"decision_types":5307,"accountable":5309},[5305,5306],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[5308],{"id":725,"title":726,"icon":727,"key":726},{"id":712,"title":4419,"icon":75,"key":4419},{"id":5311,"headline":5312,"subtitle":12,"intro_body":5313,"labels":5314,"dtpr_summary":5315},"1677ae71-6e52-4b03-9a7a-f34ee5b3bfd0","AI-Assisted Matching for Immigration Application Processing","The Administrative Activities Support Tool (AAST) is a processing aid used by Immigration, Refugees and Citizenship Canada (IRCC) to help staff efficiently connect biometric enrolments and immigration medical examinations to the correct immigration applications. The tool uses two modules — a Biometric Module and a Medical Module — that compare basic biographical information (such as name and date of birth) from applications in the Global Case Management System (GCMS) against unassociated biometric enrolments and completed medical examinations, generating ranked lists of potential matches for staff review.\n\nAASTdoes not make immigration decisions. It provides administrative recommendations that staff use to link supporting documents to applications. All recommended matches are reviewed by an immigration officer before any decision is rendered on an application. The tool is designed to reduce the time spent on routine administrative tasks, allowing officers to focus on more complex cases, and to reduce the need for repeated requests to applicants.\n\nPersonal information used by AAST — including biographical details from immigration applications, biometric enrolments, and medical examinations — is classified at the Protected B level and is controlled by the Government of Canada. Individuals whose applications are being processed retain the right to challenge decisions made in their immigration process through established recourse mechanisms. IRCC has assigned internal accountability for the design, maintenance, and improvement of this system.",[],{"purposes":5316,"decision_types":5320,"accountable":5323},[5317,5318],{"id":704,"title":309,"icon":307,"key":309},{"id":5319,"title":299,"icon":297,"key":299},"logistics",[5321,5322],{"id":775,"title":776,"icon":777,"key":776},{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":850,"icon":69,"key":850},{"id":5325,"headline":5326,"subtitle":12,"intro_body":5327,"labels":5328,"dtpr_summary":5329},"e935e38f-34a3-4c07-9962-7a5106e0e61e","AI-Powered Technical Documentation Exploration for Statistical Analysis","Statistics Canada is developing an AI system that uses large language models (LLMs) to help analyze and explore technical documentation. This system is designed to accelerate the process of gathering targeted information to support statistical analysis and data processing activities. The system works by automatically reading and extracting relevant information from technical documents, which helps Statistics Canada staff work more efficiently.\n\nThis system is currently in development and is being used by Government of Canada employees. The system does not process personal information. By using advanced language processing technology, the system can quickly identify and summarize key information from large volumes of technical documentation, saving time for statisticians and analysts who would otherwise need to manually review these materials.\n\nThis transparency page provides information about how the system works, what data it uses, and what safeguards are in place to ensure responsible use of this technology.",[],{"purposes":5330,"decision_types":5332,"accountable":5334},[5331],{"id":814,"title":314,"icon":312,"key":314},[5333],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":713,"icon":69,"key":713},{"id":5336,"headline":5337,"subtitle":12,"intro_body":5338,"labels":5339,"dtpr_summary":5340},"0847e8d7-2e04-47f4-910f-220785ca1157","Low-Code Workflow Automation for Government Operations","Statistics Canada uses the M365 Power Platform to develop and deploy workflow automation across corporate services and operations. This system leverages Microsoft's low-code and no-code tools to streamline business processes and improve operational efficiency. The platform is currently in production and is primarily used by Government of Canada employees to automate routine tasks and improve service delivery.\n\nThis AI system does not involve the collection or processing of personal information about the public. Instead, it focuses on automating internal government workflows and business operations. The system uses data sources specific to each workflow being automated, allowing flexibility across different operational contexts. Because this is a corporate automation platform rather than a public-facing system, it has minimal impact on citizens' privacy and rights.",[],{"purposes":5341,"decision_types":5346,"accountable":5349},[5342,5343],{"id":704,"title":309,"icon":307,"key":309},{"id":5344,"title":5345,"icon":488,"key":5345},"automation_driven_process_optimization","Process Automation and Efficiency",[5347,5348],{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":2869,"title":2870,"icon":488,"key":2870},{"id":712,"title":713,"icon":75,"key":713},{"id":5351,"headline":5352,"subtitle":12,"intro_body":5353,"labels":5354,"dtpr_summary":5355},"cdafda8b-b53d-4d29-9794-fad4b38a8f0f","Making StatCan Data More Discoverable in AI","Statistics Canada is developing a system that makes its statistical data and publications more discoverable within Large Language Models (LLMs) through a process called vectorization. This experimental system converts StatCan's published datasets and web content into a format that AI systems can better understand and retrieve, improving how citizens and researchers can find relevant government statistics through AI-powered search and analysis tools.\n\nThis system is designed to serve both Statistics Canada employees and the general public by enhancing access to official statistical information through modern AI interfaces. The system does not involve processing personal information about individuals—it focuses entirely on making published government statistics more accessible through emerging AI technologies.\n\nThe project is currently in development and includes experimentation with Model Context Protocol (MCP) technology to further improve how statistical data can be integrated with AI systems. Statistics Canada is being transparent about this development work and how it may affect how citizens discover and use official statistics.",[],{"purposes":5356,"decision_types":5359,"accountable":5361},[5357,5358],{"id":814,"title":314,"icon":312,"key":314},{"id":706,"title":294,"icon":292,"key":294},[5360],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":713,"icon":69,"key":713},{"id":5363,"headline":5364,"subtitle":12,"intro_body":5365,"labels":5366,"dtpr_summary":5367},"aeb9c836-b8c2-4d54-b277-c300d26c0d06","AI Chatbot for Statistics Discovery","IntelliStatCan is an artificial intelligence system being developed by Statistics Canada to help both employees and members of the public find and understand statistical information more easily. The system uses chatbot technology to answer questions about Statistics Canada's publications and datasets, improving how people discover and navigate statistical content on government websites.\n\nThis system is currently in development and does not involve the collection of personal information. It is designed to make statistics more accessible by providing intelligent guidance and helping users locate relevant data and publications through conversational interactions.\n\nAs an AI system used by government, Statistics Canada is committed to transparency about how IntelliStatCan works and how it uses information to assist users in accessing public statistical resources.",[],{"purposes":5368,"decision_types":5371,"accountable":5373},[5369,5370],{"id":874,"title":234,"icon":231,"key":234},{"id":706,"title":294,"icon":292,"key":294},[5372],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":713,"icon":69,"key":713},{"id":5375,"headline":5376,"subtitle":12,"intro_body":5377,"labels":5378,"dtpr_summary":5379},"1d187fcb-92e8-4e52-a8f4-fb8bedde6519","AI-Powered Disability Claims Evidence Summarization","Veterans Affairs Canada is experimenting with generative artificial intelligence to help summarize client documents and information to support disability adjudication decisions. The Claims Summary Tool uses advanced document analysis and OpenAI technology to create comprehensive, concise evidence bundles from personal records and medical assessments. This system is currently in development and is being tested with adjudicators to ensure the generated summaries are complete and accurate.\n\nThe system processes personal information including client records, medical evaluations, and supporting documentation stored in VAC's Client Services Delivery Network and GCCase systems. The AI assists Government of Canada employees who are adjudicators in reviewing disability claims more efficiently and accurately. Because this system processes sensitive personal health and veteran information, Veterans Affairs Canada has implemented safeguards and is working closely with stakeholders to validate the tool's reliability before broader deployment.\n\nThis system involves personal information processing and has been registered in the Government of Canada's AI register for transparency and accountability. Veterans and their representatives should be aware that their information may be analyzed by this AI tool as part of the claims adjudication process.",[],{"purposes":5380,"decision_types":5383,"accountable":5385},[5381,5382],{"id":704,"title":309,"icon":307,"key":309},{"id":874,"title":234,"icon":231,"key":234},[5384],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":1132,"icon":75,"key":1132},{"id":5387,"headline":5388,"subtitle":12,"intro_body":5389,"labels":5390,"dtpr_summary":5391},"8f84eb56-f599-46b2-9ece-546bac715cb3","AI-Assisted Case Prioritization for OAS Program Integrity","Service Canada uses an automated case prioritization system to help identify Old Age Security (OAS) recipients who may no longer be eligible for benefits due to extended absences from Canada. Under OAS program rules, individuals who leave Canada for more than six months may lose their entitlement to OAS and the Guaranteed Income Supplement (GIS). This system analyzes travel data from the Canada Border Services Agency (CBSA) alongside ESDC program data to rank and group cases that may require human review, helping investigators focus their attention on the highest-priority files first.\n\nThis system does not make any decisions about your benefits eligibility. It only organizes and prioritizes a list of cases for review by trained human investigators at the Integrity Services Branch. Every case flagged by the system undergoes a thorough manual pre-assessment, and any final determination about eligibility is made by a human agent. If a decision is made that affects your benefits, you have the right to request a reconsideration under section 27.1 of the Old Age Security Act.\n\nThis project was developed in accordance with the Treasury Board of Canada Secretariat's Directive on Automated Decision-Making and was reviewed by ESDC's Artificial Intelligence Centre of Excellence, Legal Services, the Privacy Management Division, and the Office of the Privacy Commissioner of Canada. A Privacy Impact Assessment was completed on July 30, 2020.",[],{"purposes":5392,"decision_types":5395,"accountable":5397},[5393,5394],{"id":758,"title":274,"icon":272,"key":274},{"id":704,"title":309,"icon":307,"key":309},[5396],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":763,"icon":69,"key":763},{"id":5399,"headline":5400,"subtitle":12,"intro_body":5401,"labels":5402,"dtpr_summary":5403},"889ec0d3-8c33-4046-b7dd-cbc507a90e22","AI-Powered Immigration Fraud Pattern Detection System","The Integrity Trends Analysis Tool (ITAT) is an automated system developed by Immigration, Refugees and Citizenship Canada (IRCC) to help identify potential fraud and integrity risks in temporary resident applications, including study permits, temporary resident visas, and temporary foreign worker applications. The tool analyzes large volumes of immigration application data to detect patterns historically associated with fraudulent or adverse outcomes, and flags applications that match these patterns so that Risk Assessment Units can prioritize them for further verification activities.\n\nITAT does not make or recommend final decisions on immigration applications. Processing officers who review applications are not told whether an application was flagged by the tool — they only receive the results of any verification activities that were conducted. Final decisions are made exclusively by human immigration officers in accordance with procedural fairness principles and the requirements of the Immigration and Refugee Protection Act (IRPA). If a verification activity uncovers a concern, applicants receive a procedural fairness letter explaining the issue and are given the opportunity to respond before any decision is made.\n\nIRCC has taken steps to ensure the tool does not introduce or exacerbate bias, including efforts to ensure that risk patterns do not reflect Charter-protected characteristics such as gender, age, race, or religion. The system includes comprehensive audit trails, human override capabilities, and ongoing evaluation processes. Canadians and applicants should know that the tool is one step in a larger, human-led decision-making process, and that applicants retain the right to challenge decisions and seek recourse through established immigration channels.",[],{"purposes":5404,"decision_types":5407,"accountable":5410},[5405,5406],{"id":737,"title":319,"icon":317,"key":319},{"id":758,"title":274,"icon":272,"key":274},[5408,5409],{"id":911,"title":912,"icon":913,"key":912},{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":850,"icon":69,"key":850},{"id":5412,"headline":5413,"subtitle":12,"intro_body":5414,"labels":5415,"dtpr_summary":5416},"7a5fc1fd-da2a-4432-bd09-94ba67634abf","AI-Assisted Identity Verification for Canadian Passports","Immigration, Refugees and Citizenship Canada (IRCC) uses a facial recognition system as part of the passport application process. The system compares an applicant's photo to biometric templates from previous passport applications to help confirm that the person is who they claim to be, and to detect potential fraud or cases where someone may be applying under a different identity. The system has been in use since 2010 and supports both in-person and online passport renewal services.\n\nWhen you apply for a Canadian passport, your photo is converted into a facial biometric template and compared against a database of past passport applicant photos. The system produces a similarity score indicating how closely your face matches previous records. If your application passes all facial recognition checks, it may proceed through automated processing. If the system flags a potential issue, a human officer reviews the case — the final decision to issue or refuse a passport is always made by a person, never by the system alone.\n\nThe Government of Canada is committed to transparency about how this technology is used. The facial recognition algorithm is tested for accuracy across diverse populations, including assessments based on gender, age, and skin tone. Privacy Impact Assessments have been completed, and a new assessment is underway for 2024–25. Applicants who have concerns about a decision related to their passport application have the right to seek recourse through established review processes.",[],{"purposes":5417,"decision_types":5420,"accountable":5422},[5418,5419],{"id":737,"title":319,"icon":317,"key":319},{"id":704,"title":309,"icon":307,"key":309},[5421],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":850,"icon":69,"key":850},{"id":5424,"headline":5425,"subtitle":12,"intro_body":5426,"labels":5427,"dtpr_summary":5428},"c4b8757c-c299-40be-9ad8-06786fcba7e8","AI-Assisted Triage for Visitor Record Applications","Immigration, Refugees and Citizenship Canada (IRCC) uses an advanced data analytics system to help process visitor record applications more efficiently. The system automatically identifies straightforward applications and can approve the eligibility portion of these low-complexity cases, before sending the file to an IRCC officer who makes the final decision. For more complex applications, the system sorts and assigns cases to officers for manual review based on complexity. The system never refuses an application, nor does it recommend refusal — all final decisions to approve or refuse remain with human officers.\n\nThis system was created to help manage a growing volume of visitor record applications, reduce processing backlogs, and improve processing times for applicants. Visitor records are among IRCC's most straightforward services, as they do not grant the right to work, study, or immigrate to Canada. The system uses a combination of rules developed with experienced IRCC officers and rules generated through machine learning based on previous IRCC case data. All rules are reviewed for potential bias or discrimination before being introduced and at regular intervals afterward.\n\nIf your visitor record application is processed using this system, you should know that an IRCC officer will always review your file and make the final decision. The system only uses data elements directly linked to legislative and regulatory requirements. You have the right to request a review of any decision and to receive an explanation of the factors that led to it. IRCC is committed to fairness, transparency, and ongoing monitoring to ensure the system performs as intended and does not introduce bias or discrimination.",[],{"purposes":5429,"decision_types":5431,"accountable":5434},[5430],{"id":704,"title":309,"icon":307,"key":309},[5432,5433],{"id":744,"title":745,"icon":746,"key":745},{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":850,"icon":69,"key":850},{"id":5436,"headline":5437,"subtitle":12,"intro_body":5438,"labels":5439,"dtpr_summary":5440},"c8466ee0-820f-47d1-9118-f500e17c4b52","Intelligent Code Translation for Government","CodeBridge is an AI-assisted code translation system developed by the Government of Canada and operated by Statistics Canada. The system is designed to help Government of Canada employees automatically convert and translate small code scripts, along with their associated metadata and supporting documentation, from one programming language or format to another.\n\nThe system is currently in production and uses artificial intelligence to analyze existing code and generate equivalent code in target formats. This automation reduces manual effort and improves consistency when modernizing legacy systems or standardizing code across the organization. CodeBridge does not process personal information—it works exclusively with code and technical documentation.\n\nAs a government AI system, CodeBridge is subject to transparency and accountability requirements. The system has been registered in the Government of Canada's AI inventory and is being made available for public awareness.",[],{"purposes":5441,"decision_types":5443,"accountable":5447},[5442],{"id":2374,"title":2375,"icon":488,"key":2375},[5444],{"id":5445,"title":5446,"icon":488,"key":5446},"transformation","Code Structure and Format Transformation",{"id":712,"title":713,"icon":75,"key":713},{"id":5449,"headline":5450,"subtitle":12,"intro_body":5451,"labels":5452,"dtpr_summary":5453},"6cb232f6-1e2b-463b-9f95-41e72303e20b","AI-Powered Social Media Performance Monitoring","Veterans Affairs Canada uses Hootsuite, a social media management platform with sentiment analysis capabilities, to monitor and analyze performance across all organizational social media accounts. The system uses Natural Language Processing technology to evaluate the sentiment of public comments and posts on social media platforms, providing analytics that help the organization understand public response to its communications.\n\nThis system processes public social media data only and does not involve personal information collection. It is used by Government of Canada employees to gain insights into social media engagement and performance metrics. The system is currently in production and helps Veterans Affairs Canada better understand how their social media content resonates with the public.",[],{"purposes":5454,"decision_types":5456,"accountable":5458},[5455],{"id":706,"title":294,"icon":292,"key":294},[5457],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1132,"icon":75,"key":1132},{"id":5460,"headline":5461,"subtitle":12,"intro_body":5462,"labels":5463,"dtpr_summary":5464},"34971a06-b0cf-4a85-943a-caad6daa44a7","AI-Powered Big Data Analytics System","Statistics Canada uses machine learning models to process large volumes of data from diverse sources including retail scanner data, transportation records, housing information, financial institution data, administrative records from other government agencies, web-scraped content, international trade transactions, and satellite imagery. This system was developed to overcome limitations of traditional data processing approaches and reduce the reporting burden on survey respondents by leveraging existing big data sources.\n\nThe system affects how government employees access and analyze data for statistical purposes. By automating the processing of complex, large-scale datasets, it enables faster insights while maintaining data quality standards. The system is currently in production and primarily used by Government of Canada employees.\n\nPlease note: This system processes data that may include personal information. The machine learning approach allows Statistics Canada to extract value from administrative and transactional data sources while working to minimize respondent burden through reduced survey requirements.",[],{"purposes":5465,"decision_types":5467,"accountable":5469},[5466],{"id":704,"title":309,"icon":307,"key":309},[5468],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":713,"icon":75,"key":713},{"id":5471,"headline":5472,"subtitle":12,"intro_body":5473,"labels":5474,"dtpr_summary":5475},"eb90cdb2-511f-414a-b77f-911e9df26430","Automating Electronic Questionnaire Testing","Statistics Canada has developed the Automated EQ Testing Tool to streamline and improve the testing process for electronic questionnaires. This system automates key components of the questionnaire testing workflow, enhancing efficiency and consistency in survey development. The tool is currently in development and is designed for use by Government of Canada employees involved in survey administration and quality assurance.\n\nThis system processes data related to electronic questionnaire components and their performance during testing phases. While the tool is primarily used internally by government staff to improve survey quality, it represents an important investment in modernizing Statistics Canada's statistical production processes.\n\nThe system does not involve the processing of personal information about survey respondents, focusing instead on the technical validation and testing of survey instruments themselves.",[],{"purposes":5476,"decision_types":5478,"accountable":5480},[5477],{"id":704,"title":309,"icon":307,"key":309},[5479],{"id":911,"title":912,"icon":913,"key":912},{"id":712,"title":713,"icon":75,"key":713},{"id":5482,"headline":5483,"subtitle":12,"intro_body":5484,"labels":5485,"dtpr_summary":5486},"d2faed18-fee8-4ea6-bbdb-b262441b22b6","Government AI Research and Development Testing Platform","The AI Exploratory Platform \u002F SSC-SEP is a research and development initiative by Statistics Canada and the Shared Services Canada (SSC) Scientific Experimentation Platform. This system enables Government of Canada employees to test and experiment with artificial intelligence tools and models in a controlled, secure environment designed for innovation purposes.\n\nThe platform uses unclassified data to support exploratory research, allowing teams to evaluate new AI capabilities and methodologies. All testing occurs within Statistics Canada's Protected-B certified AI environment and SSC's scientific experimentation infrastructure, ensuring appropriate security and governance standards are maintained throughout the development process.\n\nThis system is currently in development and is designed for internal government use only. No personal information is involved in the platform's operations.",[],{"purposes":5487,"decision_types":5489,"accountable":5491},[5488],{"id":814,"title":314,"icon":312,"key":314},[5490],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":713,"icon":69,"key":713},{"id":5493,"headline":5494,"subtitle":12,"intro_body":5495,"labels":5496,"dtpr_summary":5497},"9ad177ef-f45e-472a-8ccf-1a91dc2146a5","Automated Work Permit Application Triage and Eligibility Tool","Immigration, Refugees and Citizenship Canada (IRCC) has developed two automated tools to help process in-Canada work permit applications more efficiently. The first tool is for Post-Graduate Work Permits (PGWP) and the second is for other work permit extensions. These tools sort applications by complexity and can automatically approve eligibility for straightforward, routine applications — helping reduce backlogs and speed up processing times for applicants.\n\nIf your application is identified as routine, the tool may issue an automated positive eligibility determination, meaning it confirms you appear to meet the basic eligibility requirements. Importantly, these tools can only approve eligibility — they cannot refuse your application or recommend a refusal. All admissibility assessments and all final decisions are still made by a trained IRCC officer who reviews your full file. If your application is more complex, it is automatically routed to an officer with the appropriate expertise.\n\nIRCC is committed to fairness and transparency in how these tools operate. The rules built into the tools are based entirely on legislative and regulatory eligibility criteria, and are regularly reviewed by officers, legal experts, policy analysts, and data scientists. A quality assurance process monitors outcomes to detect and address any unintended bias. You have the right to seek a review of any decision affecting you, including through Judicial Review in the Federal Court.",[],{"purposes":5498,"decision_types":5500,"accountable":5503},[5499],{"id":704,"title":309,"icon":307,"key":309},[5501,5502],{"id":744,"title":745,"icon":746,"key":745},{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":850,"icon":69,"key":850},{"id":5505,"headline":5506,"subtitle":12,"intro_body":5507,"labels":5508,"dtpr_summary":5509},"32bfdf02-0840-4ebc-8ff1-dc30fb2a4a05","AI-Assisted Audio Transcription for RCMP Investigations","The Voice2Text system is a web-based, offline, on-premise application developed by the Royal Canadian Mounted Police (RCMP) that uses artificial intelligence to assist with the transcription and translation of audio files collected during criminal investigations. The system was created to reduce a significant backlog of audio files awaiting transcription, increase operational efficiency by a factor of at least 10, and provide investigators with timelier access to critical information that may affect surveillance, officer safety, and legal proceedings.\n\nThe system does not make any decisions on its own. When an audio file is uploaded, the AI engine generates a draft transcription or translation, which must then be carefully reviewed and edited by a qualified human transcriber or translator before it can be used in any investigative or legal context. Raw AI output is never disclosed or relied upon without this mandatory human review step.\n\nTo protect privacy, the application is designed to operate entirely offline and on-premise, with no connection to the internet. Audio files and their transcriptions are automatically deleted from the system once the transcription has been downloaded by the user. Access to the system is controlled through Active Directory authentication, ensuring only authorized RCMP personnel can use it. Members of the public whose communications appear in lawfully collected audio files should be aware that their voice data is processed by this AI system as part of the investigation process.",[],{"purposes":5510,"decision_types":5513,"accountable":5515},[5511,5512],{"id":704,"title":309,"icon":307,"key":309},{"id":5319,"title":299,"icon":297,"key":299},[5514],{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":3844,"icon":69,"key":3844},{"id":5517,"headline":5518,"subtitle":12,"intro_body":5519,"labels":5520,"dtpr_summary":5521},"327618d0-d4b9-46db-aee2-6481ce1ffed9","AI-Assisted Veterans Disability Benefits Decision-Making","The Department of Veterans Affairs Canada is developing an automated decision-support system to help process disability benefit claims more efficiently. The system uses text and speech analysis, image and object recognition, and workflow automation to analyze applications and supporting documentation, helping to reduce backlogs and improve consistency in how claims are assessed. It was created to free staff from administrative tasks so they can spend more time on complex, judgment-intensive decisions.\n\nThis system directly affects veterans applying for disability benefits. Decisions made with its support can have significant impacts on a veteran's financial well-being, access to health services, and overall quality of life. Because of these high stakes, a human decision-maker remains involved in the process and can override automated recommendations. Veterans who disagree with a decision have access to formal recourse processes, including review and appeal mechanisms.\n\nThe Government of Canada is committed to transparency in how this system operates. An audit trail records all recommendations and key decision points, linked to the relevant legislation and policy. Veterans are entitled to a plain-language explanation of how the system contributed to any decision that denies a benefit, including the data used, the criteria applied, and the options available to challenge the outcome.",[],{"purposes":5522,"decision_types":5524,"accountable":5526},[5523],{"id":704,"title":309,"icon":307,"key":309},[5525],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1132,"icon":69,"key":1132},{"id":5528,"headline":5529,"subtitle":12,"intro_body":5530,"labels":5531,"dtpr_summary":5532},"79325eb6-dfaf-4f41-b705-56dbcfb92b00","AI-Assisted Processing of Refugee Sponsorship Applications","Immigration, Refugees and Citizenship Canada (IRCC) uses an automation system to help process applications under the Privately Sponsored Refugee (PSR) program. The system has two main functions: it automatically approves the sponsorship portion of routine applications that clearly meet program requirements, and it sorts and assigns refugee applicant files to the most appropriate immigration officers based on office capabilities and officer expertise. The system was developed to manage a growing volume of resettlement applications more efficiently and to reduce differences in processing times across immigration offices.\n\nThis system directly affects people applying for refugee resettlement through a private sponsor. For most applicants, the system will route their file to an officer for a full individual review. For a subset of straightforward sponsorship applications, the sponsorship portion may be automatically approved, speeding up the process. Importantly, the system never refuses applications — all refusals and all final decisions on refugee applications continue to be made by human officers. Even when the sponsorship portion is automatically approved, an officer still makes the final decision on the overall application.\n\nIRCC is committed to transparency and fairness in how this system operates. The system's rules were reviewed by experienced officers, legal, policy, data science, and privacy experts. Ongoing monitoring and quality assurance measures are in place to detect and address any unintended biases or errors. Applicants who wish to challenge a decision have access to a recourse process, and meaningful explanations are provided for any denial of a benefit or service.",[],{"purposes":5533,"decision_types":5536,"accountable":5539},[5534,5535],{"id":704,"title":309,"icon":307,"key":309},{"id":5319,"title":299,"icon":297,"key":299},[5537,5538],{"id":744,"title":745,"icon":746,"key":745},{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":850,"icon":69,"key":850},{"id":5541,"headline":5542,"subtitle":12,"intro_body":5543,"labels":5544,"dtpr_summary":5545},"e123918f-e44d-4513-a40a-b32030c49e24","AI-Powered Data Processing and Analysis Tools","Statistics Canada uses machine learning models to process and analyze large volumes of structured and unstructured data. These AI systems support a range of data operations including automatic classification, outlier detection, missing data imputation, address parsing, deep learning analysis, natural language processing, satellite image analysis, and robotic process automation. The system is currently in production and is used by Government of Canada employees to enhance data quality, extract insights, and automate routine data processing tasks. This system processes various types of data and may involve personal information in certain contexts.",[],{"purposes":5546,"decision_types":5549,"accountable":5552},[5547,5548],{"id":704,"title":309,"icon":307,"key":309},{"id":814,"title":314,"icon":312,"key":314},[5550,5551],{"id":911,"title":912,"icon":913,"key":912},{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":748,"title":713,"icon":69,"key":713},{"id":5554,"headline":5555,"subtitle":12,"intro_body":5556,"labels":5557,"dtpr_summary":5558},"c86546b2-7311-480e-bc3a-857ec0337de1","AI-Powered Census Questionnaire Data Extraction","Statistics Canada has developed the Census Comments Data Capture system to improve the efficiency and accuracy of processing paper census questionnaires. This system uses Microsoft Azure AI Document Intelligence to automatically convert images of handwritten and printed responses from census questionnaires into digital text data. The system is currently in development and is designed to be used by Government of Canada employees who process census responses.\n\nThis AI system processes personal information collected from Canadian census respondents. The system reads written comments and responses from paper questionnaires and converts them into text that can be stored and analyzed. While this automation improves processing speed and consistency, it is important for citizens to understand how their written responses are being digitized and handled.\n\nThis system has been evaluated for AI-related risks and transparency. Citizens have the right to understand how their census data is being processed by automated systems, to access information about their responses, and to have their data handled according to privacy protections. The system focuses specifically on capturing and digitizing text from census questionnaires submitted by the public.",[],{"purposes":5559,"decision_types":5562,"accountable":5564},[5560,5561],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[5563],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":713,"icon":69,"key":713},{"id":5566,"headline":5567,"subtitle":12,"intro_body":5568,"labels":5569,"dtpr_summary":5570},"e55dd295-1a3a-4090-b9b3-8d86e785f870","AI-Powered Legal Research Assistant for EI Adjudications","The EI Jurisprudence Search Aid Tool is an artificial intelligence system developed by Accenture for Employment and Social Development Canada to support Service Canada Benefit Officers in their work. This tool helps officers assess Employment Insurance (EI) claims by automatically finding relevant legal references from Canadian courts and tribunals, including decisions from the Social Security Tribunal, Federal Court of Appeals, Supreme Court of Canada, and Federal Court. The system uses advanced AI techniques including generative AI, natural language processing, and retrieval-augmented generation to search through legal databases and surface the most relevant case law and precedents.\n\nThe tool is designed specifically for government employees responsible for Level 2 Adjudications, Requests for Reconsiderations, and appeals related to EI claims. By automating the legal research process, the system helps officers make more informed and consistent decisions based on established jurisprudence. This tool does not process personal information about individuals; instead, it works with legal documents and case law to support the decision-making process.\n\nThe system is currently in development. All AI systems that support significant decisions are subject to ongoing monitoring and evaluation to ensure they work fairly and effectively. This tool represents an important step toward helping government employees access the legal precedents they need to make sound decisions quickly and efficiently.",[],{"purposes":5571,"decision_types":5573,"accountable":5575},[5572],{"id":704,"title":309,"icon":307,"key":309},[5574],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":763,"icon":75,"key":763},{"id":5577,"headline":5578,"subtitle":12,"intro_body":5579,"labels":5580,"dtpr_summary":5581},"1265ce59-48dc-43a5-a504-a1fce8e916d2","AI-Powered Medical File Organization System","EVA Smart Assist for Medical Adjudication is an artificial intelligence system currently in development by Employment and Social Development Canada to support the Canada Pension Plan Disability (CPPD) program. The system uses advanced AI technologies including Retrieval-Augmented Generation, Natural Language Processing, and Optical Character Recognition to help medical adjudicators quickly locate and organize key information from medical files.\n\nThis system is designed to reduce administrative burden on medical adjudicators by automatically producing file overviews, identifying critical documents, and providing citation reference links. By automating these time-consuming tasks, the system enables adjudicators to focus their expertise on the actual adjudication process, ultimately helping to reduce application backlogs and improve processing times for disability benefit applicants.\n\nThe system will be used by Government of Canada employees who work as medical adjudicators. As this system processes personal health information from disability benefit applicants, it includes privacy protections and transparent policies governing how medical and personal data is handled during the adjudication process. The system is currently under development and subject to ongoing assessment.",[],{"purposes":5582,"decision_types":5584,"accountable":5586},[5583],{"id":704,"title":309,"icon":307,"key":309},[5585],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":763,"icon":69,"key":763},{"id":5588,"headline":5589,"subtitle":12,"intro_body":5590,"labels":5591,"dtpr_summary":5592},"194d54e8-b036-4135-8303-531cb975a3e7","Automating Document Processing for Salmon Management","The Pacific Salmon Structural Information OCR System (PSSIOCR) is an artificial intelligence tool developed by Fisheries and Oceans Canada to help modernize how the department manages historical salmon management data. The system uses optical character recognition (OCR) technology to automatically convert thousands of scanned documents, paper records, and unstructured files into organized, digital information that can be easily searched, analyzed, and used for decision-making.\n\nMany DFO programs maintain vast archives of important documents—including fish slips, inspection reports, logbooks, and observer reports—that contain valuable information for tracking Pacific salmon populations and managing fishing activities. Because manually transferring this information into digital systems is not practical given the volume of documents, PSSIOCR automates this process while still allowing trained staff to review and verify the extracted information for accuracy.\n\nThis system is currently in development and will be used by Government of Canada employees. It does not process personal information about individual citizens. By automating document processing, PSSIOCR aims to improve the timeliness and quality of data available for Pacific salmon management decisions while preserving access to valuable historical records for the future.",[],{"purposes":5593,"decision_types":5595,"accountable":5597},[5594],{"id":704,"title":309,"icon":307,"key":309},[5596],{"id":709,"title":710,"icon":488,"key":710},{"id":712,"title":2050,"icon":75,"key":2050},{"id":5599,"headline":5600,"subtitle":12,"intro_body":5601,"labels":5602,"dtpr_summary":5603},"07fd8c8c-ff23-473f-83fb-82c7457fc997","Automated Export-Import Permit Decision System","The New Export Import Control System (NEICS) is an automated decision-making system operated by Global Affairs Canada that processes permit applications for export and import activities. The system automatically grants EIPA (Export Import Permit Act) permits when specific conditions are met, using rule-based techniques such as quota availability verification for importers and exporters. This system serves both government employees and the public who submit permit applications.\n\nThe system processes personal information and makes binding permit decisions that directly affect applicants' ability to conduct international trade. Users submit permit requests through the online system, providing all required information. As a transparent and accountable AI system, NEICS operates with clear rules and criteria that determine permit approval, ensuring consistent application of export-import regulations across Canada.\n\nCurrently in production, the system is designed to streamline the permit approval process while maintaining compliance with Canadian export-import control regulations. Citizens and businesses should understand that their personal information is collected during the application process and that automated decisions are made based on regulatory criteria and available quotas.",[],{"purposes":5604,"decision_types":5607,"accountable":5609},[5605,5606],{"id":758,"title":274,"icon":272,"key":274},{"id":3236,"title":249,"icon":247,"key":249},[5608],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":1725,"icon":75,"key":1725},{"id":5611,"headline":5612,"subtitle":12,"intro_body":5613,"labels":5614,"dtpr_summary":5615},"8d169b5e-8951-4c0c-a901-62d47b8aa729","AI-Powered Indigenous Language Pronunciation Learning","EveryVoice is a text-to-speech system developed by the National Research Council Canada in partnership with Indigenous communities and educational institutions. The system generates realistic pronunciation recordings for three Indigenous languages: Kanyen'kéha (Mohawk), nēhiyawēwin (Plains Cree), and SENĆOŦEN. These recordings are integrated into language learning materials such as dictionaries and verb conjugation references to support language preservation and education.\n\nThis system is currently in development and is designed to serve members of the public, particularly Indigenous language learners and educators. The system does not involve the collection of personal information from users. All training data comes from Indigenous language recordings that were obtained with proper licensing agreements and informed consent from Indigenous communities, ensuring respectful and ethical use of cultural and linguistic knowledge.\n\nAs an AI system working with culturally significant linguistic content, EveryVoice operates with strong community partnerships and transparency about its training methods. Users can learn how the system works and understand that their language learning experience is supported by technology developed in collaboration with Indigenous peoples and institutions.",[],{"purposes":5616,"decision_types":5618,"accountable":5620},[5617],{"id":706,"title":294,"icon":292,"key":294},[5619],{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3856,"icon":69,"key":3856},{"id":5622,"headline":5623,"subtitle":12,"intro_body":5624,"labels":5625,"dtpr_summary":5626},"4bfc3ac4-614a-4752-85cc-29a08c178203","Safe Beyond-Visual-Line-of-Sight Drone Operations","The National Research Council Canada is developing an advanced AI system to enable drones (unmanned aerial vehicles) to operate safely in complex environments beyond visual line of sight (BVLOS). This system combines artificial intelligence, computer vision, and radar technology to detect obstacles, avoid collisions, and autonomously navigate around critical infrastructure for inspection and monitoring purposes.\n\nThe system uses AI-enabled object detection and threat identification to allow multiple drones to safely perform high-precision inspections, mapping, and automatic condition assessments of essential infrastructure and superstructures. The technology addresses three key challenges: flight path planning and safe landing, real-time detection of objects and potential intruders through onboard sensors, and accurate 3D modeling and photogrammetry.\n\nThis system is currently in development and does not involve the collection of personal information. It is designed for use by both National Research Council employees and members of the public who may benefit from drone-based infrastructure inspection services. The system has been tested through over 20 flight sessions in multiple Canadian locations including Ottawa, Montreal, Victoria, and Vancouver Island.",[],{"purposes":5627,"decision_types":5630,"accountable":5633},[5628,5629],{"id":737,"title":319,"icon":317,"key":319},{"id":704,"title":309,"icon":307,"key":309},[5631,5632],{"id":911,"title":912,"icon":913,"key":912},{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":748,"title":3856,"icon":69,"key":3856},{"id":5635,"headline":5636,"subtitle":12,"intro_body":5637,"labels":5638,"dtpr_summary":5639},"231d234e-9402-43dc-8e91-db9c45392abf","AI-Powered Writing and Document Assistant for Public Service","Copilot is a general-purpose generative artificial intelligence tool deployed across Government of Canada departments to enhance employee productivity. The Public Service Commission piloted the platform in late 2024 and early 2025, and has since integrated it into regular operations throughout 2025. The system helps employees generate text, edit documents, summarize information, create images, and translate content.\n\nThis system is designed specifically for personal productivity tasks and does not process personal information about citizens or members of the public. Government employees using Copilot have access to the tool through their Microsoft 365 accounts. The system operates according to the Government of Canada's FASTER principles and is guided by the Treasury Board Secretariat's Guide on the use of Generative AI.\n\nLooking forward, the Public Service Commission plans to expand Copilot's use to include more advanced enterprise-level capabilities, such as specialized chatbots powered by Copilot agents that can draw from curated documentation. This transparency page explains how the system works, what data it processes, and what safeguards are in place.",[],{"purposes":5640,"decision_types":5643,"accountable":5645},[5641,5642],{"id":874,"title":234,"icon":231,"key":234},{"id":816,"title":239,"icon":237,"key":239},[5644],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":4767,"icon":75,"key":4767},{"id":5647,"headline":5648,"subtitle":12,"intro_body":5649,"labels":5650,"dtpr_summary":5651},"793bcdf4-393e-4238-b005-702463e2d30e","AI-Powered Code Development Assistant for PSC","GitHub Copilot is a generative AI tool deployed by the Public Service Commission of Canada to assist developers and data specialists in writing code more efficiently. The system integrates directly into the development environments used by PSC staff, providing real-time suggestions for code generation, code quality review, and general programming assistance. As of mid-2025, this tool is in the pilot phase, with licenses deployed to a limited number of developers to measure its impact and effectiveness before broader rollout.\n\nThe system does not process personal information about individuals. Instead, it works with internal code repositories and development workflows specific to PSC staff. Users should understand that GitHub Copilot is a vendor solution provided by Microsoft, and that code submitted to the system may be processed by external AI models as part of the service delivery.\n\nThis pilot deployment allows PSC to evaluate whether GitHub Copilot improves development speed and code quality while managing associated costs and risks. Government employees using this tool should be aware of their rights regarding the code they input and any outputs generated by the system.",[],{"purposes":5652,"decision_types":5655,"accountable":5657},[5653,5654],{"id":816,"title":239,"icon":237,"key":239},{"id":814,"title":314,"icon":312,"key":314},[5656],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":4767,"icon":75,"key":4767},{"id":5659,"headline":5660,"subtitle":12,"intro_body":5661,"labels":5662,"dtpr_summary":5663},"44d661f6-f9f7-4ab4-8252-adc8d79fe5ba","AI-Assisted Police Report Writing Tool","Draft One is an artificial intelligence system developed by Axon to assist Royal Canadian Mounted Police officers in creating police reports more efficiently. The system works by capturing audio from body-worn cameras, automatically transcribing the audio into text, and then using advanced language processing technology to generate a draft narrative summary of the incident. Officers review, edit, and approve these draft reports before they are finalized, maintaining full control over the content and accuracy of official documents.\n\nThis system processes personal information about individuals involved in police incidents. The system is currently in production and is used by RCMP employees. The AI uses a large language model to transform audio and transcribed text into draft report narratives, which helps reduce the time officers spend on administrative tasks and aims to improve consistency in report writing.\n\nCitizens should know that if you are involved in a police incident where an officer is wearing a body camera, audio from that interaction may be transcribed and processed by this AI system to help generate a draft police report. Officers retain the ability to edit all AI-generated content, and the final report remains subject to standard police review and oversight procedures.",[],{"purposes":5664,"decision_types":5667,"accountable":5671},[5665,5666],{"id":706,"title":294,"icon":292,"key":294},{"id":704,"title":309,"icon":307,"key":309},[5668],{"id":5669,"title":5670,"icon":488,"key":5670},"acceptance_of_system_inputs","Report Content Generation and Acceptance",{"id":748,"title":3844,"icon":69,"key":3844},{"id":5673,"headline":5674,"subtitle":12,"intro_body":5675,"labels":5676,"dtpr_summary":5677},"0bc07e04-2d01-4055-b29d-bb2d5ceff9af","AI-Powered Air Cargo Security Risk Assessment","The Pre-load Air Cargo Targeting (PACT) Program is an automated risk assessment system operated by Transport Canada that screens all inbound air cargo shipments destined for Canada before they are loaded onto aircraft. The system analyzes information submitted by air carriers — including shipper and consignee names and addresses, commodity descriptions, cargo weight, piece count, and air waybill numbers — and uses artificial intelligence to calculate a risk score for each shipment. Shipments assessed as low-risk are automatically cleared, while those that fall outside low-risk parameters are flagged for review by a human PACT analyst who decides whether to issue a Request for Information, Request for Screening, or a Do Not Load notice.\n\nThe PACT system was created because the volume of inbound air cargo shipments to Canada is too large to assess manually. Prior to automation, only about 6% of shipments could be reviewed using tools like Microsoft Excel and a limited number of staff volunteers. The automated system is designed to assess 100% of submitted cargo data, improving aviation security for both passenger and all-cargo flights without creating undue delays in the supply chain.\n\nIf your shipment is flagged by the PACT system and a risk mitigation measure is applied, you will receive a notification through the air carrier. You have the right to seek an explanation for any decision that prevents your cargo from being loaded by contacting Transport Canada's PACT Program directly. A Privacy Impact Assessment is in place to ensure that any personal information collected — limited to shipper or consignee name, address, and commodity description — is handled in accordance with Canadian law.",[],{"purposes":5678,"decision_types":5680,"accountable":5682},[5679],{"id":737,"title":319,"icon":317,"key":319},[5681],{"id":911,"title":912,"icon":913,"key":912},{"id":748,"title":965,"icon":69,"key":965},{"id":5684,"headline":5685,"subtitle":12,"intro_body":5686,"labels":5687,"dtpr_summary":5688},"9b896a69-177c-4809-a1a5-ac90ba0fdd40","AI-Powered Canadian Regulatory Information System","The Regulatory Platform is a web application developed by the Government of Canada that uses intelligent automation to generate, streamline, and structure information on Canadian federal laws and regulations. The system was created to help GC regulators and policy analysts assess, manage, align, and report on the regulatory stock more effectively. The platform provides a curated dataset that allows users to search and filter Acts and Regulations by department and industry, while obtaining comparative metrics on the distribution of regulatory burden across government.\n\nThis system is currently in production and is primarily used by Government of Canada employees. The platform does not involve processing personal information about individuals. Instead, it focuses on organizing and analyzing regulatory documents and policies to improve government decision-making and regulatory management.\n\nKey transparency information: The system uses intelligent automation algorithms to process regulatory data, generates comparative analyses across departments and sectors, and enables filtering and searching of regulatory information. Users should understand that the platform's outputs are based on curated government data and are designed to support policy analysis and regulatory oversight.",[],{"purposes":5689,"decision_types":5692,"accountable":5694},[5690,5691],{"id":704,"title":309,"icon":307,"key":309},{"id":706,"title":294,"icon":292,"key":294},[5693],{"id":744,"title":745,"icon":746,"key":745},{"id":712,"title":965,"icon":75,"key":965},{"id":5696,"headline":5697,"subtitle":12,"intro_body":5698,"labels":5699,"dtpr_summary":5700},"749215b9-b5ee-4bbc-a2cd-23195e01bb10","AI-Powered Access to Information Processing","The ATIP Document Inspector is an AI-powered assistant system in development by the Government of Canada that helps streamline how Access to Information and Privacy (ATIP) analysts work with documents and coordinate between ATIP liaisons and document holders. Currently, all communication happens through email, but this new system will use artificial intelligence to make the process faster and more efficient. The system can detect duplicate documents, summarize lengthy files, automatically classify documents, and search through large collections of documents. This system is being developed for Government of Canada employees who manage ATIP requests. The system does not currently involve personal information processing.",[],{"purposes":5701,"decision_types":5704,"accountable":5707},[5702,5703],{"id":704,"title":309,"icon":307,"key":309},{"id":816,"title":239,"icon":237,"key":239},[5705,5706],{"id":911,"title":912,"icon":913,"key":912},{"id":775,"title":776,"icon":777,"key":776},{"id":748,"title":965,"icon":69,"key":965},{"id":5709,"headline":5710,"subtitle":12,"intro_body":5711,"labels":5712,"dtpr_summary":5713},"9f4dbb7e-23f5-483a-b95f-fb605fe6c94b","AI-Powered Global Conflict Monitoring System","The Risk Evaluation and Conflict Tool (REACT) is an AI-powered system developed by Transport Canada's Conflict Zone Information Office to monitor and assess global conflict-related threats to Canadian civil aviation. This data-driven tool uses artificial intelligence to automate the analysis of published media sources and news articles, reducing the manual effort required to identify and evaluate aviation safety risks.\n\nREACT processes open-source information through machine learning algorithms and large language models to generate risk assessments and identify emerging threats. The system is designed to enhance Canada's capability to respond to conflict-related aviation safety concerns by providing timely, automated analysis of conflict developments worldwide.\n\nThis system is currently in development and is used by Government of Canada employees. Please note that this system does not process personal information.",[],{"purposes":5714,"decision_types":5717,"accountable":5720},[5715,5716],{"id":704,"title":309,"icon":307,"key":309},{"id":737,"title":319,"icon":317,"key":319},[5718,5719],{"id":911,"title":912,"icon":913,"key":912},{"id":725,"title":726,"icon":727,"key":726},{"id":748,"title":965,"icon":69,"key":965},{"id":5722,"headline":5723,"subtitle":12,"intro_body":5724,"labels":5725,"dtpr_summary":5726},"14cde744-2148-4878-abe9-0eb01f1094a0","Machine Learning Container Arrival Predictions","Transport Canada, in collaboration with Statistics Canada, developed a machine learning algorithm to forecast container volume arrivals at the Port of Vancouver. This system analyzes historical import declaration data to predict future container volumes, helping port operators and logistics professionals plan operations more effectively.\n\nThe system processes data from Canada Border Services Agency (CBSA) import declarations to identify patterns and trends in container arrivals. It does not involve personal information about individuals. This system is currently retired and no longer in active operation.\n\nPrimary users of this system are Government of Canada employees who work in port operations, logistics planning, and supply chain management. The system was developed internally by Transport Canada in collaboration with Statistics Canada using machine learning capabilities.",[],{"purposes":5727,"decision_types":5729,"accountable":5731},[5728],{"id":704,"title":309,"icon":307,"key":309},[5730],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":965,"icon":75,"key":965},{"id":5733,"headline":5734,"subtitle":12,"intro_body":5735,"labels":5736,"dtpr_summary":5737},"8ee3b3e1-eff4-46a4-83d6-98d53869d694","AI-Powered Assistant for Government Staff","myGCAssistant (Radia) is an artificial intelligence platform currently in development by the Treasury Board of Canada Secretariat. The system is designed to help Government of Canada employees work more efficiently by providing AI-powered assistance with everyday tasks such as finding information, drafting documents, and answering frequently asked questions.\n\nThe platform operates as a bilingual, accessible AI chat assistant that can provide source-backed answers and help with document drafting. It is designed with both English and French language support to serve Canada's diverse workforce. The system uses agentic process assistants to help automate routine workflows and improve productivity across government departments.\n\nThis system is intended for use by GC employees only and does not currently involve the processing of personal information. As this system is still in development, the Treasury Board of Canada Secretariat continues to evaluate its capabilities and safety measures to ensure it meets government standards for secure, responsible AI deployment.",[],{"purposes":5738,"decision_types":5742,"accountable":5745},[5739,5740,5741],{"id":706,"title":294,"icon":292,"key":294},{"id":816,"title":239,"icon":237,"key":239},{"id":874,"title":234,"icon":231,"key":234},[5743,5744],{"id":725,"title":726,"icon":727,"key":726},{"id":835,"title":836,"icon":837,"key":836},{"id":748,"title":3147,"icon":69,"key":3147},{"id":5747,"headline":5748,"subtitle":12,"intro_body":5749,"labels":5750,"dtpr_summary":5751},"ec6958c5-1219-4cd7-8af1-ae9fcd528a7d","AI-Powered Productivity Tool for Government Employees","Microsoft 365 Copilot Chat is an AI-powered productivity tool provided to all Veterans Affairs Canada employees to enhance their work efficiency. The system helps employees summarize content, draft documents, analyze data, and automate routine tasks using generative AI technology. This tool is currently in production and available to Government of Canada employees.\n\nThe system is designed as a secure workplace tool but has important limitations: it should not be used with protected or classified information. No personal information is processed by this system in its standard use cases. The AI technology is developed and maintained by Microsoft, ensuring employees have access to current generative AI capabilities while maintaining appropriate security and privacy safeguards for government operations.",[],{"purposes":5752,"decision_types":5754,"accountable":5756},[5753],{"id":2116,"title":2117,"icon":488,"key":2117},[5755],{"id":835,"title":836,"icon":837,"key":836},{"id":712,"title":1132,"icon":75,"key":1132},{"id":5758,"headline":5759,"subtitle":12,"intro_body":5760,"labels":5761,"dtpr_summary":5762},"6592572d-b817-40fd-a536-76c1ba20c634","AI-Powered Code Generation for Software Development","Veterans Affairs Canada is piloting artificial intelligence code-generation tools to improve the efficiency and speed of internal software development and maintenance. This pilot uses generative AI technology to assist programmers in writing code, with the goal of increasing team productivity and velocity. The system is currently in production as a pilot project and is being used by Government of Canada employees involved in software development.\n\nThis is a low-risk application of generative AI technology because it supports internal development activities rather than making decisions that directly affect the public. The system does not collect or process personal information about individuals. Veterans Affairs Canada is measuring the impact of these tools on development team performance to determine whether the productivity gains observed in industry benchmarks can be achieved in their specific operational context.\n\nUsers should be aware that this is an experimental pilot program. The organization is actively monitoring and evaluating the effectiveness of the tools to make informed decisions about broader adoption.",[],{"purposes":5763,"decision_types":5766,"accountable":5768},[5764,5765],{"id":814,"title":314,"icon":312,"key":314},{"id":816,"title":239,"icon":237,"key":239},[5767],{"id":1891,"title":1892,"icon":1893,"key":1892},{"id":712,"title":1132,"icon":75,"key":1132},{"id":5770,"headline":5771,"subtitle":12,"intro_body":5772,"labels":5773,"dtpr_summary":5774},"acd76d4f-d6b4-4724-b4c6-8399fee850af","AI-Powered Document Value Assessment","This system used IBM Watson Explorer, a cognitive computing platform, to automatically determine whether electronic documents held business value for retention purposes. The proof-of-concept leveraged computer vision and natural language processing capabilities to analyze document content and recommend retention decisions. This retired system was deployed to help Government of Canada employees manage the growing volume of digital records by identifying which documents should be preserved for operational or compliance reasons.\n\nThe system did not process personal information, focusing instead on document classification tasks. It was used internally by GC employees as part of a limited evaluation to assess the viability of cognitive technologies for records management workflows. As a retired system, it is no longer in active use.\n\nThis transparency page provides insights into how the system operated, including its analytical capabilities, output classifications, and the processing methods that enabled automated document assessment.",[],{"purposes":5775,"decision_types":5777,"accountable":5779},[5776],{"id":704,"title":309,"icon":307,"key":309},[5778],{"id":744,"title":745,"icon":746,"key":745},{"id":748,"title":1132,"icon":69,"key":1132},{"id":5781,"title":5782,"body":5783,"customerId":5,"description":5867,"extension":5868,"locale":8,"meta":5869,"navigation":14,"path":5870,"seo":5871,"stem":5872,"__hash__":5873},"registerIntros\u002Fregister-intros\u002Fcanada-en.md","Canada AI Register",{"type":5784,"value":5785,"toc":5864},"minimark",[5786,5798,5801,5804,5823,5843,5851,5854,5859],[5787,5788,5789,5790,5797],"p",{},"In November 2025, the Government of Canada released an ",[5791,5792,5796],"a",{"href":5793,"rel":5794},"https:\u002F\u002Fopen.canada.ca\u002Fdata\u002Fen\u002Fdataset\u002Ffcbc0200-79ba-4fa4-94a6-00e32facea6b",[5795],"nofollow","MVP version of a federal AI register",", calling for feedback on its implementation. It represents an important first step in AI transparency and governance in Canada.",[5787,5799,5800],{},"We've worked in government. We know how hard it can be to coordinate across agencies to get this kind of dataset built, approved, and published. It's hugely important work, and often unacknowledged. To the public servants who built this: thank you!",[5787,5802,5803],{},"Now we want to do our part.",[5787,5805,5806,5807,5811,5812,5817,5818,5822],{},"We're ",[5791,5808,13],{"href":5809,"rel":5810},"https:\u002F\u002Fhelpfulplaces.com",[5795],". We steward an open-source project called ",[5791,5813,5816],{"href":5814,"rel":5815},"https:\u002F\u002Fdtpr.io",[5795],"Digital Trust for Places & Routines (DTPR)"," that helps people understand technology, and we build a tool called ",[5791,5819,1032],{"href":5820,"rel":5821},"https:\u002F\u002Fclarable.com",[5795]," that helps organizations around the world use DTPR to scale technology governance and transparency.",[5787,5824,5825,5826,5831,5832,5837,5838,5842],{},"We've taken the ",[5791,5827,5830],{"href":5828,"rel":5829},"https:\u002F\u002Fopen.canada.ca\u002Fdata\u002Fen\u002Fdataset\u002Ffcbc0200-79ba-4fa4-94a6-00e32facea6b\u002Fresource\u002F369f6f34-148a-42ed-b581-8c164e941a89",[5795],"spreadsheet"," and the ",[5791,5833,5836],{"href":5834,"rel":5835},"https:\u002F\u002Fwww.canada.ca\u002Fen\u002Fgovernment\u002Fsystem\u002Fdigital-government\u002Fdigital-government-innovations\u002Fresponsible-use-ai\u002Falgorithmic-impact-assessment.html",[5795],"Algorithmic Impact Assessment"," PDFs the government published and run them through ",[5791,5839,5841],{"href":5840},"\u002Falgorithms\u002Fb0bb5c36-973c-481c-913f-56c4e02b7e7f","Clarable's Import AI",", building a visual AI register with straightforward descriptions of the systems and their uses.",[5787,5844,5845,5846,5850],{},"Explore the register below and let us know what you think at ",[5791,5847,5849],{"href":5848},"mailto:hello@helpfulplaces.com","hello@helpfulplaces.com",".",[5787,5852,5853],{},"And if you want to keep up with our latest work, we have a newsletter too:",[5855,5856],"register-newsletter",{"action":5857,"tags":5858},"https:\u002F\u002Fhelpful-places.mailcoach.app\u002Fsubscribe\u002F3f3c6a33-15d3-4607-9c07-fb49d65b5006","canada-register",[5860,5861],"register-branding",{"after":5862,"before":5863},"powered by","AI transparency with",{"title":1607,"searchDepth":5865,"depth":5865,"links":5866},2,[],"In November 2025, the Government of Canada released an MVP version of a federal AI register, calling for feedback on its implementation. It represents an important first step in AI transparency and governance in Canada.","md",{},"\u002Fregister-intros\u002Fcanada-en",{"title":5782,"description":5867},"register-intros\u002Fcanada-en","nBnpT-jf_6hMHj4KVur_bMGazCxl48xBh-JUBZaZxfQ"]