[{"data":1,"prerenderedAt":876},["ShallowReactive",2],{"navigation_docs_en":3,"dtpr-schemas-index":287,"dtpr-category-detail-categories":295,"dtpr-category-detail-elements-processing":667,"dtpr-category-overlay-processing":365},[4,22,26,30,102,152,174,196,226,278,283],{"title":5,"path":6,"stem":7,"children":8},"Getting started","/en/getting-started","en/1.getting-started/0.index",[9,10,14,18],{"title":5,"path":6,"stem":7},{"title":11,"path":12,"stem":13},"MCP quickstart","/en/getting-started/mcp-quickstart","en/1.getting-started/1.mcp-quickstart",{"title":15,"path":16,"stem":17},"REST quickstart","/en/getting-started/rest-quickstart","en/1.getting-started/2.rest-quickstart",{"title":19,"path":20,"stem":21},"UI quickstart","/en/getting-started/ui-quickstart","en/1.getting-started/3.ui-quickstart",{"title":23,"path":24,"stem":25},"Attribution","/en/attribution","en/10.attribution",{"title":27,"path":28,"stem":29},"Cite DTPR for AI","/en/cite","en/11.cite",{"title":31,"path":32,"stem":33,"children":34},"MCP server","/en/mcp","en/2.mcp/0.index",[35,36,40,44,48,98],{"title":31,"path":32,"stem":33},{"title":37,"path":38,"stem":39},"Connecting","/en/mcp/connection","en/2.mcp/1.connection",{"title":41,"path":42,"stem":43},"Envelope","/en/mcp/envelope","en/2.mcp/2.envelope",{"title":45,"path":46,"stem":47},"Resources","/en/mcp/resources","en/2.mcp/3.resources",{"title":49,"path":50,"stem":51,"children":52},"Tools","/en/mcp/tools","en/2.mcp/4.tools/0.index",[53,54,58,62,66,70,74,78,82,86,90,94],{"title":49,"path":50,"stem":51},{"title":55,"path":56,"stem":57},"list_schema_versions","/en/mcp/tools/list-schema-versions","en/2.mcp/4.tools/1.list-schema-versions",{"title":59,"path":60,"stem":61},"MCP tool: resolve_datachain","/en/mcp/tools/resolve-datachain","en/2.mcp/4.tools/10.resolve-datachain",{"title":63,"path":64,"stem":65},"MCP tool: validate_resolved","/en/mcp/tools/validate-resolved","en/2.mcp/4.tools/11.validate-resolved",{"title":67,"path":68,"stem":69},"get_schema","/en/mcp/tools/get-schema","en/2.mcp/4.tools/2.get-schema",{"title":71,"path":72,"stem":73},"list_categories","/en/mcp/tools/list-categories","en/2.mcp/4.tools/3.list-categories",{"title":75,"path":76,"stem":77},"list_elements","/en/mcp/tools/list-elements","en/2.mcp/4.tools/4.list-elements",{"title":79,"path":80,"stem":81},"get_element","/en/mcp/tools/get-element","en/2.mcp/4.tools/5.get-element",{"title":83,"path":84,"stem":85},"get_elements","/en/mcp/tools/get-elements","en/2.mcp/4.tools/6.get-elements",{"title":87,"path":88,"stem":89},"validate_datachain","/en/mcp/tools/validate-datachain","en/2.mcp/4.tools/7.validate-datachain",{"title":91,"path":92,"stem":93},"render_datachain","/en/mcp/tools/render-datachain","en/2.mcp/4.tools/8.render-datachain",{"title":95,"path":96,"stem":97},"get_icon_url","/en/mcp/tools/get-icon-url","en/2.mcp/4.tools/9.get-icon-url",{"title":99,"path":100,"stem":101},"Prompts","/en/mcp/prompts","en/2.mcp/5.prompts",{"title":103,"path":104,"stem":105,"children":106},"REST API (v2)","/en/rest","en/3.rest/0.index",[107,108,112,116,120,124,128,132,136,140,144,148],{"title":103,"path":104,"stem":105},{"title":109,"path":110,"stem":111},"GET /schemas","/en/rest/schemas","en/3.rest/1.schemas",{"title":113,"path":114,"stem":115},"POST /schemas/:version/resolve","/en/rest/resolve","en/3.rest/10.resolve",{"title":117,"path":118,"stem":119},"POST /schemas/:version/validate_resolved","/en/rest/validate-resolved","en/3.rest/11.validate-resolved",{"title":121,"path":122,"stem":123},"GET /schemas/:version/manifest","/en/rest/manifest","en/3.rest/2.manifest",{"title":125,"path":126,"stem":127},"GET /schemas/:version/categories","/en/rest/categories","en/3.rest/3.categories",{"title":129,"path":130,"stem":131},"GET /schemas/:version/elements","/en/rest/elements-list","en/3.rest/4.elements-list",{"title":133,"path":134,"stem":135},"GET /schemas/:version/elements/:element_id","/en/rest/element-detail","en/3.rest/5.element-detail",{"title":137,"path":138,"stem":139},"POST /schemas/:version/validate","/en/rest/validate","en/3.rest/6.validate",{"title":141,"path":142,"stem":143},"Icon routes","/en/rest/icons","en/3.rest/7.icons",{"title":145,"path":146,"stem":147},"Pagination & fields","/en/rest/pagination-and-fields","en/3.rest/8.pagination-and-fields",{"title":149,"path":150,"stem":151},"Errors","/en/rest/errors","en/3.rest/9.errors",{"title":153,"path":154,"stem":155,"children":156},"Icon composition","/en/icons","en/4.icons/0.index",[157,158,162,166,170],{"title":153,"path":154,"stem":155},{"title":159,"path":160,"stem":161},"Shapes","/en/icons/shapes","en/4.icons/1.shapes",{"title":163,"path":164,"stem":165},"Symbols","/en/icons/symbols","en/4.icons/2.symbols",{"title":167,"path":168,"stem":169},"Composed variants","/en/icons/composed-variants","en/4.icons/3.composed-variants",{"title":171,"path":172,"stem":173},"URLs","/en/icons/urls","en/4.icons/4.urls",{"title":175,"path":176,"stem":177,"children":178},"@dtpr/ui","/en/ui","en/5.ui/0.index",[179,180,184,188,192],{"title":175,"path":176,"stem":177},{"title":181,"path":182,"stem":183},"@dtpr/ui/core","/en/ui/core","en/5.ui/1.core",{"title":185,"path":186,"stem":187},"@dtpr/ui/vue","/en/ui/vue","en/5.ui/2.vue",{"title":189,"path":190,"stem":191},"@dtpr/ui/html","/en/ui/html","en/5.ui/3.html",{"title":193,"path":194,"stem":195},"Theming","/en/ui/theming","en/5.ui/4.theming",{"title":197,"path":198,"stem":199,"children":200},"Concepts","/en/concepts","en/6.concepts/0.index",[201,202,206,210,214,218,222],{"title":197,"path":198,"stem":199},{"title":203,"path":204,"stem":205},"Datachains","/en/concepts/datachains","en/6.concepts/1.datachains",{"title":207,"path":208,"stem":209},"Elements & categories","/en/concepts/elements-categories","en/6.concepts/2.elements-categories",{"title":211,"path":212,"stem":213},"Versions & releases","/en/concepts/versions-and-releases","en/6.concepts/3.versions-and-releases",{"title":215,"path":216,"stem":217},"Content hash","/en/concepts/content-hash","en/6.concepts/4.content-hash",{"title":219,"path":220,"stem":221},"Shape contract","/en/concepts/shape-contract","en/6.concepts/5.shape-contract",{"title":223,"path":224,"stem":225},"Subchains","/en/concepts/subchains","en/6.concepts/6.subchains",{"title":227,"path":228,"stem":229,"children":230},"Claude plugin","/en/plugin","en/7.plugin/0.index",[231,232,236,270,274],{"title":227,"path":228,"stem":229},{"title":233,"path":234,"stem":235},"Install","/en/plugin/install","en/7.plugin/1.install",{"title":237,"path":238,"stem":239,"children":240},"Skills","/en/plugin/skills","en/7.plugin/2.skills/0.index",[241,242,246,250,254,258,262,266],{"title":237,"path":238,"stem":239},{"title":243,"path":244,"stem":245},"dtpr-describe-system","/en/plugin/skills/describe-system","en/7.plugin/2.skills/1.describe-system",{"title":247,"path":248,"stem":249},"dtpr-datachain-structure","/en/plugin/skills/datachain-structure","en/7.plugin/2.skills/2.datachain-structure",{"title":251,"path":252,"stem":253},"dtpr-category-audit","/en/plugin/skills/category-audit","en/7.plugin/2.skills/3.category-audit",{"title":255,"path":256,"stem":257},"dtpr-element-design","/en/plugin/skills/element-design","en/7.plugin/2.skills/4.element-design",{"title":259,"path":260,"stem":261},"dtpr-symbol-design","/en/plugin/skills/symbol-design","en/7.plugin/2.skills/5.symbol-design",{"title":263,"path":264,"stem":265},"dtpr-translate","/en/plugin/skills/translate","en/7.plugin/2.skills/6.translate",{"title":267,"path":268,"stem":269},"dtpr-comprehension-audit","/en/plugin/skills/comprehension-audit","en/7.plugin/2.skills/7.comprehension-audit",{"title":271,"path":272,"stem":273},"Research corpus","/en/plugin/research-corpus","en/7.plugin/3.research-corpus",{"title":275,"path":276,"stem":277},"Comprehension rubric","/en/plugin/comprehension-rubric","en/7.plugin/4.comprehension-rubric",{"title":49,"path":279,"stem":280,"children":281},"/en/tools","en/8.tools/0.index",[282],{"title":49,"path":279,"stem":280},{"title":284,"path":285,"stem":286},"Changelog","/en/changelog","en/9.changelog",{"ok":288,"versions":289},true,[290],{"id":291,"status":292,"created_at":293,"content_hash":294},"ai@2026-05-06-beta","beta","2026-05-06T20:23:42.963Z","sha256-2d208111b0c597ff2b38cb1c24168799b0a5ff9290203ebf46c4f7c16a0fcb24",{"ok":288,"version":291,"categories":296},[297,322,374,436,492,536,555,574,598,619,645],{"id":298,"name":299,"description":303,"prompt":306,"authoring_guidance":309,"examples":310,"sources":311,"required":312,"order":313,"datachain_type":314,"shape":315,"element_variables":316},"access",[300],{"locale":301,"value":302},"en","Access",[304],{"locale":301,"value":305},"Who can see or use the data produced by this AI system.",[307],{"locale":301,"value":308},"Who has access to the data?",[],[],[],false,9,"ai","rounded-square",[317],{"id":318,"label":319,"required":312},"additional_description",[320],{"locale":301,"value":321},"Description",{"id":323,"name":324,"description":327,"prompt":330,"authoring_guidance":333,"examples":334,"sources":335,"required":288,"order":336,"datachain_type":314,"shape":337,"element_variables":338,"element_context":348},"accountable",[325],{"locale":301,"value":326},"Accountable",[328],{"locale":301,"value":329},"The organization responsible for deploying and operating this AI system.",[331],{"locale":301,"value":332},"Who is accountable for this AI system?",[],[],[],2,"hexagon",[339,344],{"id":340,"label":341,"required":288},"title",[342],{"locale":301,"value":343},"Title",{"id":345,"label":346,"required":288},"description",[347],{"locale":301,"value":321},{"id":349,"name":350,"description":353,"values":356},"role",[351],{"locale":301,"value":352},"Role",[354],{"locale":301,"value":355},"How this organization participates in the deployment of the AI system.",[357,366],{"id":358,"name":359,"description":362,"color":365},"vendor",[360],{"locale":301,"value":361},"Vendor",[363],{"locale":301,"value":364},"The organization that builds, supplies, or licenses the AI system.",null,{"id":367,"name":368,"description":371,"color":365},"deployer",[369],{"locale":301,"value":370},"Deployer",[372],{"locale":301,"value":373},"The organization that deploys and operates the AI system in this place.",{"id":375,"name":376,"description":379,"prompt":382,"authoring_guidance":385,"examples":388,"sources":389,"required":288,"order":395,"datachain_type":314,"shape":337,"element_variables":396,"element_context":400},"functional_modes",[377],{"locale":301,"value":378},"Functional Modes",[380],{"locale":301,"value":381},"How this AI system operates — the functional modes (e.g. analytical, semantic, generative, agentic, perceptive, physical) it composes.",[383],{"locale":301,"value":384},"What is the AI system doing?",[386],{"locale":301,"value":387},"Pick one or more functional modes.",[],[390],{"type":391,"title":392,"url":393,"citation":394},"framework","AI Taxonomy — An Operational Framework for Precision in AI Discourse","https://dropleaf.app/d/AlXez8scbd","Narain Jashanmal, v1.1, January 2026.",3,[397],{"id":318,"label":398,"required":312},[399],{"locale":301,"value":321},{"id":401,"name":402,"description":405,"values":408},"autonomy",[403],{"locale":301,"value":404},"Autonomy",[406],{"locale":301,"value":407},"How much this mode decides and acts on its own. The element name says what the mode does; this label says who chooses and who carries out the result.",[409,418,427],{"id":410,"name":411,"description":414,"color":417},"human_decides",[412],{"locale":301,"value":413},"Human decides",[415],{"locale":301,"value":416},"This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.","#2A9D8F",{"id":419,"name":420,"description":423,"color":426},"human_executes",[421],{"locale":301,"value":422},"Human executes",[424],{"locale":301,"value":425},"This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.","#6A1B7A",{"id":428,"name":429,"description":432,"color":435},"autonomous",[430],{"locale":301,"value":431},"Autonomous",[433],{"locale":301,"value":434},"This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.","#E76F51",{"id":437,"name":438,"description":441,"prompt":444,"authoring_guidance":447,"examples":448,"sources":449,"required":312,"order":450,"datachain_type":314,"shape":451,"element_variables":452,"element_context":456},"input_dataset",[439],{"locale":301,"value":440},"Input Dataset",[442],{"locale":301,"value":443},"The input data this deployed system processes when it operates. Distinct from training data.",[445],{"locale":301,"value":446},"What input data does this AI system process?",[],[],[],6,"circle",[453],{"id":318,"label":454,"required":288},[455],{"locale":301,"value":321},{"id":457,"name":458,"description":461,"values":464},"pii",[459],{"locale":301,"value":460},"Personal Information",[462],{"locale":301,"value":463},"How identifiable the data is when this system processes it. The element name says what the data is about; this colour says how directly it identifies a person.",[465,474,483],{"id":466,"name":467,"description":470,"color":473},"de_identified",[468],{"locale":301,"value":469},"Anonymized data",[471],{"locale":301,"value":472},"Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.","#4A90D9",{"id":475,"name":476,"description":479,"color":482},"pseudonymous",[477],{"locale":301,"value":478},"Pseudonymous data",[480],{"locale":301,"value":481},"Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.","#9575CD",{"id":484,"name":485,"description":488,"color":491},"identifiable",[486],{"locale":301,"value":487},"Identifiable data",[489],{"locale":301,"value":490},"The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.","#FFD700",{"id":493,"name":494,"description":497,"prompt":500,"authoring_guidance":503,"examples":504,"sources":505,"required":312,"order":506,"datachain_type":314,"shape":451,"element_variables":507,"element_context":511},"output_dataset",[495],{"locale":301,"value":496},"Output Dataset",[498],{"locale":301,"value":499},"The output data this deployed system produces when it operates — decisions, content, and actions.",[501],{"locale":301,"value":502},"What does this AI system produce?",[],[],[],8,[508],{"id":318,"label":509,"required":288},[510],{"locale":301,"value":321},{"id":457,"name":512,"description":514,"values":517},[513],{"locale":301,"value":460},[515],{"locale":301,"value":516},"How identifiable the data is when this system produces it. The element name says what the output is about; this colour says how directly it identifies a person.",[518,524,530],{"id":466,"name":519,"description":521,"color":473},[520],{"locale":301,"value":469},[522],{"locale":301,"value":523},"Output about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so the result can’t reasonably be tied back to an individual.",{"id":475,"name":525,"description":527,"color":482},[526],{"locale":301,"value":478},[528],{"locale":301,"value":529},"The output is labelled with a token (hash, ID, template) that lets this system tie the result to the same person across events without revealing a name. Reidentification is possible with extra information.",{"id":484,"name":531,"description":533,"color":491},[532],{"locale":301,"value":487},[534],{"locale":301,"value":535},"The output names a person directly (name, address, account, recognisable face or voice, plate) or carries a token this system resolves to legal identity in the same step.",{"id":537,"name":538,"description":541,"prompt":544,"authoring_guidance":547,"examples":548,"sources":549,"required":312,"order":550,"datachain_type":314,"shape":451,"element_variables":551},"processing",[539],{"locale":301,"value":540},"Algorithm or Model",[542],{"locale":301,"value":543},"What processes the input — the algorithm family, model class, or technique used to turn inputs into outputs.",[545],{"locale":301,"value":546},"What algorithm or model processes the data?",[],[],[],7,[552],{"id":318,"label":553,"required":312},[554],{"locale":301,"value":321},{"id":556,"name":557,"description":560,"prompt":563,"authoring_guidance":566,"examples":567,"sources":568,"required":288,"order":569,"datachain_type":314,"shape":337,"element_variables":570},"purpose",[558],{"locale":301,"value":559},"Purpose",[561],{"locale":301,"value":562},"Why this AI system exists — the outcome it’s designed to achieve.",[564],{"locale":301,"value":565},"What is the purpose of this AI system?",[],[],[],1,[571],{"id":318,"label":572,"required":312},[573],{"locale":301,"value":321},{"id":575,"name":576,"description":579,"prompt":582,"authoring_guidance":585,"examples":586,"sources":587,"required":312,"order":588,"datachain_type":314,"shape":315,"element_variables":589},"retention",[577],{"locale":301,"value":578},"Retention",[580],{"locale":301,"value":581},"How long the data produced by this AI system is kept.",[583],{"locale":301,"value":584},"How long is the data kept?",[],[],[],10,[590,593],{"id":318,"label":591,"required":312},[592],{"locale":301,"value":321},{"id":594,"label":595,"required":288},"duration",[596],{"locale":301,"value":597},"Duration",{"id":599,"name":600,"description":603,"prompt":606,"authoring_guidance":609,"examples":610,"sources":611,"required":312,"order":612,"datachain_type":314,"shape":613,"element_variables":614},"rights",[601],{"locale":301,"value":602},"Rights",[604],{"locale":301,"value":605},"What you can do in relation to this AI system — how to access, contest, or opt out.",[607],{"locale":301,"value":608},"What are your rights?",[],[],[],5,"octagon",[615],{"id":599,"label":616,"required":288},[617],{"locale":301,"value":618},"Description of Rights",{"id":620,"name":621,"description":624,"prompt":627,"authoring_guidance":630,"examples":631,"sources":632,"required":312,"order":638,"datachain_type":314,"shape":613,"element_variables":639},"risks_mitigation",[622],{"locale":301,"value":623},"Risks & Mitigation",[625],{"locale":301,"value":626},"The risks this AI system could create and how they’re being addressed.",[628],{"locale":301,"value":629},"What are the risks and how are they mitigated?",[],[],[633],{"type":634,"title":635,"url":636,"citation":637},"research_paper","A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms","https://arxiv.org/abs/2407.01294","Abercrombie et al. (2024). arXiv:2407.01294. CC BY-SA 4.0.",4,[640],{"id":641,"label":642,"required":288},"mitigation",[643],{"locale":301,"value":644},"Description of Risks & Mitigations",{"id":646,"name":647,"description":650,"prompt":653,"authoring_guidance":656,"examples":657,"sources":658,"required":312,"order":659,"datachain_type":314,"shape":315,"element_variables":660},"storage",[648],{"locale":301,"value":649},"Data Storage",[651],{"locale":301,"value":652},"Where the data produced by this AI system is kept.",[654],{"locale":301,"value":655},"Where is the data stored?",[],[],[],11,[661,664],{"id":318,"label":662,"required":312},[663],{"locale":301,"value":321},{"id":594,"label":665,"required":288},[666],{"locale":301,"value":597},{"ok":288,"version":291,"elements":668,"meta":874},[669,688,705,722,739,756,773,790,807,824,841,857],{"id":670,"category_id":537,"title":671,"description":674,"authoring_guidance":677,"examples":678,"sources":679,"symbol_id":680,"variables":681,"shape":451,"icon_variants":685},"affect_emotion_analysis",[672],{"locale":301,"value":673},"Affect & Emotion Analysis",[675],{"locale":301,"value":676},"AI systems that infer emotional state, mood, or sentiment from text, speech, facial expressions, or physiological signals. Used to gauge crowd sentiment, evaluate service experience, or screen for distress. The accuracy and cultural fairness of affect inference is contested, and some jurisdictions restrict its use in workplaces and public services.",[],[],[],"processing_sentiment-analysis",[682],{"id":318,"label":683,"required":312},[684],{"locale":301,"value":321},[686,687],"default","dark",{"id":689,"category_id":537,"title":690,"description":693,"authoring_guidance":696,"examples":697,"sources":698,"symbol_id":699,"variables":700,"shape":451,"icon_variants":704},"anomaly_detection",[691],{"locale":301,"value":692},"Anomaly Detection",[694],{"locale":301,"value":695},"AI systems that flag unusual events, patterns, or values that depart from a learned baseline of normal behavior. Used for equipment-failure prediction, fraud screening, intrusion detection, water-leak monitoring, and unusual crowd-flow alerts. Outputs are typically thresholded scores rather than direct decisions.",[],[],[],"dm_anomaly-detection",[701],{"id":318,"label":702,"required":312},[703],{"locale":301,"value":321},[686,687],{"id":706,"category_id":537,"title":707,"description":710,"authoring_guidance":713,"examples":714,"sources":715,"symbol_id":716,"variables":717,"shape":451,"icon_variants":721},"biometric_recognition",[708],{"locale":301,"value":709},"Biometric Recognition",[711],{"locale":301,"value":712},"AI systems that identify or verify a specific person from biological signals — face, fingerprint, voice, iris, or gait. Distinct from generic computer vision because the output is tied to a named individual. Many jurisdictions restrict or prohibit biometric recognition in publicly accessible spaces.",[],[],[],"personal",[718],{"id":318,"label":719,"required":312},[720],{"locale":301,"value":321},[686,687],{"id":723,"category_id":537,"title":724,"description":727,"authoring_guidance":730,"examples":731,"sources":732,"symbol_id":733,"variables":734,"shape":451,"icon_variants":738},"classification_prediction",[725],{"locale":301,"value":726},"Classification & Prediction",[728],{"locale":301,"value":729},"AI systems that assign a label to an input or estimate a numeric outcome — including classifiers (spam vs. not spam, risk tier), regressors (predicted demand, expected wait), and time-series forecasters (next-hour ridership, energy load). Built from labeled historical data using statistical or machine-learning models.",[],[],[],"processing_time-series-forecasting",[735],{"id":318,"label":736,"required":312},[737],{"locale":301,"value":321},[686,687],{"id":740,"category_id":537,"title":741,"description":744,"authoring_guidance":747,"examples":748,"sources":749,"symbol_id":750,"variables":751,"shape":451,"icon_variants":755},"clustering_segmentation",[742],{"locale":301,"value":743},"Clustering & Segmentation",[745],{"locale":301,"value":746},"AI systems that group people, places, or events into clusters based on similarity, without using pre-defined labels. Used to segment audiences, mobility patterns, energy-use profiles, or service-demand zones. Outputs are cluster assignments that downstream systems may treat as categories — even though clusters are inferred, not authored.",[],[],[],"social",[752],{"id":318,"label":753,"required":312},[754],{"locale":301,"value":321},[686,687],{"id":757,"category_id":537,"title":758,"description":761,"authoring_guidance":764,"examples":765,"sources":766,"symbol_id":767,"variables":768,"shape":451,"icon_variants":772},"computer_vision",[759],{"locale":301,"value":760},"Computer Vision",[762],{"locale":301,"value":763},"AI systems that interpret images or video — counting people, detecting objects, reading text in pictures, tracking motion, or segmenting scenes. Common in occupancy sensing, traffic and crowd monitoring, accessibility assistance, and signage inspection. Distinct from biometric recognition, which identifies specific individuals.",[],[],[],"pixel_based_image",[769],{"id":318,"label":770,"required":312},[771],{"locale":301,"value":321},[686,687],{"id":774,"category_id":537,"title":775,"description":778,"authoring_guidance":781,"examples":782,"sources":783,"symbol_id":784,"variables":785,"shape":451,"icon_variants":789},"language_models",[776],{"locale":301,"value":777},"Language Models",[779],{"locale":301,"value":780},"AI systems that read, write, summarize, translate, or hold a conversation in human language. Includes large language models (LLMs), chatbots, and generative-text systems. They work by predicting the most likely next tokens given the input and any prior context.",[],[],[],"processing_llm",[786],{"id":318,"label":787,"required":312},[788],{"locale":301,"value":321},[686,687],{"id":791,"category_id":537,"title":792,"description":795,"authoring_guidance":798,"examples":799,"sources":800,"symbol_id":801,"variables":802,"shape":451,"icon_variants":806},"optimization",[793],{"locale":301,"value":794},"Optimization",[796],{"locale":301,"value":797},"AI systems that search for the best assignment, route, schedule, or allocation under constraints. Includes vehicle routing, transit signal timing, energy and HVAC scheduling, staff rostering, and resource allocation. Works by exploring possibilities to maximize or minimize a stated objective such as cost, time, or emissions.",[],[],[],"processing_optimization-algorithm",[803],{"id":318,"label":804,"required":312},[805],{"locale":301,"value":321},[686,687],{"id":808,"category_id":537,"title":809,"description":812,"authoring_guidance":815,"examples":816,"sources":817,"symbol_id":818,"variables":819,"shape":451,"icon_variants":823},"privacy_transformation",[810],{"locale":301,"value":811},"Privacy-Preserving Transformation",[813],{"locale":301,"value":814},"AI systems whose primary job is to transform input data so identifying details are removed, blurred, or replaced before any downstream use. Includes face blurring, license-plate masking, tokenization, k-anonymization, differential privacy, and synthetic-data generation. Acts as a barrier between raw collected data and the data used for analysis or decisions.",[],[],[],"processing_privacy-preserving-transformation",[820],{"id":318,"label":821,"required":312},[822],{"locale":301,"value":321},[686,687],{"id":825,"category_id":537,"title":826,"description":829,"authoring_guidance":832,"examples":833,"sources":834,"symbol_id":835,"variables":836,"shape":451,"icon_variants":840},"recommendation_ranking",[827],{"locale":301,"value":828},"Recommendation & Ranking",[830],{"locale":301,"value":831},"AI systems that suggest or order items for a person — services, listings, news, wayfinding options — based on preferences, behavior, or similarity to other people. Includes collaborative filtering, content-based recommenders, and learned ranking. Personalizes what each person sees from the same underlying catalog.",[],[],[],"processing_recommendation-systems",[837],{"id":318,"label":838,"required":312},[839],{"locale":301,"value":321},[686,687],{"id":842,"category_id":537,"title":843,"description":846,"authoring_guidance":849,"examples":850,"sources":851,"symbol_id":842,"variables":852,"shape":451,"icon_variants":856},"search_retrieval",[844],{"locale":301,"value":845},"Search & Retrieval",[847],{"locale":301,"value":848},"AI systems that find and surface relevant content from a body of documents, records, or media in response to a query. Includes semantic search, vector retrieval, and retrieval-augmented generation (RAG) pipelines that feed relevant passages into a language model. Used in document QA, public-records lookup, and library or archive search.",[],[],[],[853],{"id":318,"label":854,"required":312},[855],{"locale":301,"value":321},[686,687],{"id":858,"category_id":537,"title":859,"description":862,"authoring_guidance":865,"examples":866,"sources":867,"symbol_id":868,"variables":869,"shape":451,"icon_variants":873},"speech_audio",[860],{"locale":301,"value":861},"Speech & Audio",[863],{"locale":301,"value":864},"AI systems that convert between spoken words and other formats, or that classify non-speech sound. Includes speech-to-text (transcription), text-to-speech (synthetic voice), keyword spotting, and audio event detection. Voice-as-identity (recognizing who is speaking) belongs in Biometric Recognition.",[],[],[],"processing_text-to-speech",[870],{"id":318,"label":871,"required":312},[872],{"locale":301,"value":321},[686,687],{"total":875,"returned":875,"next_cursor":365},12,1779049702364]