[{"data":1,"prerenderedAt":3801},["ShallowReactive",2],{"navigation_docs_fr":3,"dtpr-schemas-index":14,"dtpr-print-categories-ai@2026-08-24-beta-fr":30,"dtpr-print-elements-ai@2026-08-24-beta-fr":684},[4,8],{"title":5,"path":6,"stem":7},"Citer DTPR for AI","\u002Ffr\u002Fcite","fr\u002F11.cite",{"title":9,"path":10,"stem":11,"children":12},"Outils","\u002Ffr\u002Ftools","fr\u002F8.tools\u002F0.index",[13],{"title":9,"path":10,"stem":11},{"ok":15,"versions":16},true,[17,22,26],{"id":18,"status":19,"created_at":20,"content_hash":21},"ai@2026-05-06-beta","beta","2026-05-06T20:23:42.963Z","sha256-3d1e9bfc4e121900821341c31479d1b689bd2af3b3fe8ef378d128f091d22263",{"id":23,"status":19,"created_at":24,"content_hash":25},"ai@2026-08-12-beta","2026-07-13T16:28:13.504Z","sha256-b0d1df5a150dc90a4d9f561663fc4d4d211f195999cd11d0733cedf9a2afbd2f",{"id":27,"status":19,"created_at":28,"content_hash":29},"ai@2026-08-24-beta","2026-08-24T11:22:13.557Z","sha256-af2b6194b573b145369552edc51f3de4d48a870eec064c0e339a005aa7e3a578",{"ok":15,"version":27,"categories":31},[32,66,139,226,305,331,410,436,499,525,551,584,613,654],{"id":33,"name":34,"description":41,"prompt":46,"authoring_guidance":51,"examples":52,"sources":53,"required":54,"order":55,"datachain_type":56,"shape":57,"element_variables":58},"access",[35,38],{"locale":36,"value":37},"en","Data Access",{"locale":39,"value":40},"fr","Accès aux données",[42,44],{"locale":36,"value":43},"Who can see or use the data produced by this AI system.",{"locale":39,"value":45},"Qui peut voir ou utiliser les données produites par ce système d’IA.",[47,49],{"locale":36,"value":48},"Who has access to the data?",{"locale":39,"value":50},"Qui a accès aux données ?",[],[],[],false,12,"ai","rounded-square",[59],{"id":60,"label":61,"required":54,"kind":65},"additional_description",[62,64],{"locale":36,"value":63},"Description",{"locale":39,"value":63},"localized_text",{"id":67,"name":68,"description":73,"prompt":78,"authoring_guidance":83,"examples":84,"sources":85,"required":15,"order":86,"datachain_type":56,"shape":87,"element_variables":88,"element_context":101},"accountable",[69,71],{"locale":36,"value":70},"Accountable",{"locale":39,"value":72},"Responsable",[74,76],{"locale":36,"value":75},"The organization responsible for deploying and operating this AI system.",{"locale":39,"value":77},"L’organisation responsable du déploiement et de l’exploitation de ce système d’IA.",[79,81],{"locale":36,"value":80},"Who is accountable for this AI system?",{"locale":39,"value":82},"Qui est responsable de ce système d’IA ?",[],[],[],2,"hexagon",[89,96],{"id":90,"label":91,"required":15,"kind":65},"title",[92,94],{"locale":36,"value":93},"Title",{"locale":39,"value":95},"Titre",{"id":97,"label":98,"required":15,"kind":65},"description",[99,100],{"locale":36,"value":63},{"locale":39,"value":63},{"id":102,"name":103,"description":108,"values":113},"role",[104,106],{"locale":36,"value":105},"Role",{"locale":39,"value":107},"Rôle",[109,111],{"locale":36,"value":110},"How this organization participates in the deployment of the AI system.",{"locale":39,"value":112},"Comment cette organisation participe au déploiement du système d’IA.",[114,127],{"id":115,"name":116,"description":121,"color":126},"vendor",[117,119],{"locale":36,"value":118},"Vendor",{"locale":39,"value":120},"Fournisseur",[122,124],{"locale":36,"value":123},"The organization that builds, supplies, or licenses the AI system.",{"locale":39,"value":125},"L’organisation qui construit, fournit ou concède sous licence le système d’IA.",null,{"id":128,"name":129,"description":134,"color":126},"deployer",[130,132],{"locale":36,"value":131},"Deployer",{"locale":39,"value":133},"Déployeur",[135,137],{"locale":36,"value":136},"The organization that deploys and operates the AI system in this place.",{"locale":39,"value":138},"L’organisation qui déploie et exploite le système d’IA dans ce lieu.",{"id":140,"name":141,"description":146,"prompt":151,"authoring_guidance":156,"examples":161,"sources":162,"required":54,"order":168,"datachain_type":56,"shape":87,"element_variables":169,"element_context":174},"action",[142,144],{"locale":36,"value":143},"What it does",{"locale":39,"value":145},"Ce qu'il fait",[147,149],{"locale":36,"value":148},"This system's actions, said as everyday verbs — it senses, predicts, decides, creates, moves. Naming the verbs makes it easier to reason about what the system touches and what could go wrong.",{"locale":39,"value":150},"Les actions de ce système, dites en verbes de tous les jours — il perçoit, prédit, décide, crée, actionne. Nommer les verbes aide à comprendre ce que le système touche et ce qui pourrait mal tourner.",[152,154],{"locale":36,"value":153},"What is this system doing?",{"locale":39,"value":155},"Que fait ce système ?",[157,159],{"locale":36,"value":158},"Pick the verbs a reader would recognize; one to three is usually right. To flag autonomy, set Human involvement on the most downstream verb as the system-level signal; set it on other verbs only when their stage genuinely differs; omit it when it would confuse.",{"locale":39,"value":160},"Choisissez les verbes qu'un lecteur reconnaîtrait ; un à trois suffisent généralement. Pour signaler l'autonomie, définissez Intervention humaine sur le verbe le plus en aval comme signal d'ensemble ; ne la définissez sur d'autres verbes que si leur étape diffère vraiment ; omettez-la en cas de doute.",[],[163],{"type":164,"title":165,"url":166,"citation":167},"framework","AI Taxonomy — An Operational Framework for Precision in AI Discourse","https:\u002F\u002Fdropleaf.app\u002Fd\u002FAlXez8scbd","Narain Jashanmal, v1.1, January 2026. This category extends the source's six modes into a ten-verb vocabulary for public comprehension.",4,[170],{"id":60,"label":171,"required":54,"kind":65},[172,173],{"locale":36,"value":63},{"locale":39,"value":63},{"id":175,"name":176,"description":181,"required":54,"values":186},"autonomy",[177,179],{"locale":36,"value":178},"Human involvement",{"locale":39,"value":180},"Intervention humaine",[182,184],{"locale":36,"value":183},"Who completes the loop — a quick, system-level signal of how much runs without a person, shown on the verb it colors. A general characterization of the deployment, not a technical audit.",{"locale":39,"value":185},"Qui boucle la boucle — un signal d'ensemble rapide indiquant ce qui fonctionne sans personne, affiché sur le verbe qu'il colore. Une caractérisation générale du déploiement, pas un audit technique.",[187,200,213],{"id":188,"name":189,"description":194,"color":199},"human_decides",[190,192],{"locale":36,"value":191},"A person decides",{"locale":39,"value":193},"Une personne décide",[195,197],{"locale":36,"value":196},"This system suggests or informs; a person makes the call before anything takes effect. Example: a triage tool ranks cases for a clinician who chooses which to see first.",{"locale":39,"value":198},"Ce système suggère ou informe ; une personne tranche avant que quoi que ce soit prenne effet. Exemple : un outil de triage classe les cas pour qu'un clinicien choisisse lesquels examiner en premier.","#2A9D8F",{"id":201,"name":202,"description":207,"color":212},"human_oversees",[203,205],{"locale":36,"value":204},"A person oversees or carries it out",{"locale":39,"value":206},"Une personne supervise ou exécute",[208,210],{"locale":36,"value":209},"This system works out the result on its own; people supervise it, can step in, or carry out the result themselves. Example: an optimizer plans the day's collection routes, and drivers run them.",{"locale":39,"value":211},"Ce système produit le résultat par lui-même ; des personnes le supervisent, peuvent intervenir ou exécutent le résultat elles-mêmes. Exemple : un optimiseur planifie les tournées de collecte de la journée, et les chauffeurs les effectuent.","#6A1B7A",{"id":214,"name":215,"description":220,"color":225},"autonomous",[216,218],{"locale":36,"value":217},"Runs on its own",{"locale":39,"value":219},"Fonctionne par lui-même",[221,223],{"locale":36,"value":222},"This system decides and takes effect without a person reviewing each result. Example: a road toll that reprices and charges automatically as traffic changes.",{"locale":39,"value":224},"Ce système décide et prend effet sans qu'une personne examine chaque résultat. Exemple : un péage qui se réévalue et prélève automatiquement selon le trafic.","#E76F51",{"id":227,"name":228,"description":233,"prompt":238,"authoring_guidance":243,"examples":244,"sources":245,"required":15,"order":246,"datachain_type":56,"shape":87,"element_variables":247,"element_context":256},"affected",[229,231],{"locale":36,"value":230},"People affected",{"locale":39,"value":232},"Personnes concernées",[234,236],{"locale":36,"value":235},"The people this system is used on, or whose lives its decisions affect — including those who never chose to interact with it.",{"locale":39,"value":237},"Les personnes sur lesquelles ce système est utilisé, ou dont ses décisions affectent la vie — y compris celles qui n’ont jamais choisi d’interagir avec lui.",[239,241],{"locale":36,"value":240},"Who is this system used on?",{"locale":39,"value":242},"Sur qui ce système est-il utilisé ?",[],[],[],3,[248,252],{"id":90,"label":249,"required":15,"kind":65},[250,251],{"locale":36,"value":93},{"locale":39,"value":95},{"id":97,"label":253,"required":15,"kind":65},[254,255],{"locale":36,"value":63},{"locale":39,"value":63},{"id":257,"name":258,"description":263,"values":268},"relationship",[259,261],{"locale":36,"value":260},"Relationship",{"locale":39,"value":262},"Relation",[264,266],{"locale":36,"value":265},"How this system touches this person or group.",{"locale":39,"value":267},"Comment ce système touche cette personne ou ce groupe.",[269,281,293],{"id":270,"name":271,"description":276,"color":126},"subject",[272,274],{"locale":36,"value":273},"Decided about",{"locale":39,"value":275},"Objet d’une décision",[277,279],{"locale":36,"value":278},"The system produces an output about this person that affects them directly — a score, a match, an eligibility call.",{"locale":39,"value":280},"Le système produit un résultat sur cette personne qui l’affecte directement — un score, une correspondance, une décision d’admissibilité.",{"id":282,"name":283,"description":288,"color":126},"bystander",[284,286],{"locale":36,"value":285},"Caught incidentally",{"locale":39,"value":287},"Capté incidemment",[289,291],{"locale":36,"value":290},"Swept into the system’s data even though it isn’t making a decision about them — a face in the background of a camera aimed elsewhere.",{"locale":39,"value":292},"Capté dans les données du système même s’il ne prend pas de décision à son sujet — un visage à l’arrière-plan d’une caméra visant ailleurs.",{"id":294,"name":295,"description":300,"color":126},"community",[296,298],{"locale":36,"value":297},"Wider community",{"locale":39,"value":299},"Communauté au sens large",[301,303],{"locale":36,"value":302},"A place or group affected collectively, beyond the individuals the system processes — a neighbourhood under watch, a ranked workforce.",{"locale":39,"value":304},"Un lieu ou un groupe affecté collectivement, au-delà des individus que le système traite — un quartier surveillé, une main-d’œuvre classée.",{"id":306,"name":307,"description":312,"prompt":317,"authoring_guidance":322,"examples":323,"sources":324,"required":54,"order":325,"datachain_type":56,"shape":87,"element_variables":326},"collection",[308,310],{"locale":36,"value":309},"Collection Technology",{"locale":39,"value":311},"Technologie de collecte",[313,315],{"locale":36,"value":314},"The devices and channels that capture this system's input data — cameras, sensors, microphones, forms, or feeds from other systems. The instrument that collects the data, distinct from the algorithm that processes it.",{"locale":39,"value":316},"Les dispositifs et canaux qui captent les données d'entrée de ce système — caméras, capteurs, microphones, formulaires ou flux d'autres systèmes. L'instrument qui collecte les données, distinct de l'algorithme qui les traite.",[318,320],{"locale":36,"value":319},"What captures the data this system uses?",{"locale":39,"value":321},"Qu'est-ce qui capte les données que ce système utilise ?",[],[],[],7,[327],{"id":60,"label":328,"required":54,"kind":65},[329,330],{"locale":36,"value":63},{"locale":39,"value":63},{"id":332,"name":333,"description":338,"prompt":343,"authoring_guidance":348,"examples":349,"sources":350,"required":54,"order":351,"datachain_type":56,"shape":352,"element_variables":353,"element_context":358},"input_dataset",[334,336],{"locale":36,"value":335},"Input Data",{"locale":39,"value":337},"Données d'entrée",[339,341],{"locale":36,"value":340},"The input data this deployed system processes when it operates. Distinct from training data.",{"locale":39,"value":342},"Les données d’entrée que ce système déployé traite lorsqu’il fonctionne. Distinctes des données d’entraînement.",[344,346],{"locale":36,"value":345},"What input data does this AI system process?",{"locale":39,"value":347},"Quelles données d’entrée ce système d’IA traite-t-il ?",[],[],[],8,"circle",[354],{"id":60,"label":355,"required":15,"kind":65},[356,357],{"locale":36,"value":63},{"locale":39,"value":63},{"id":359,"name":360,"description":365,"values":370},"pii",[361,363],{"locale":36,"value":362},"Personal Information",{"locale":39,"value":364},"Informations personnelles",[366,368],{"locale":36,"value":367},"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.",{"locale":39,"value":369},"À quel point les données sont identifiables lorsque ce système les traite. Le nom de l’élément indique de quoi parlent les données ; cette couleur indique dans quelle mesure elles identifient directement une personne.",[371,384,397],{"id":372,"name":373,"description":378,"color":383},"de_identified",[374,376],{"locale":36,"value":375},"Anonymized data",{"locale":39,"value":377},"Données anonymisées",[379,381],{"locale":36,"value":380},"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.",{"locale":39,"value":382},"Données concernant des personnes dont le lien à l’identité est rompu. Privées d’identifiants, floutées, agrégées ou bruitées pour que ce système ne puisse pas raisonnablement relier un enregistrement à un individu.","#4A90D9",{"id":385,"name":386,"description":391,"color":396},"pseudonymous",[387,389],{"locale":36,"value":388},"Pseudonymous data",{"locale":39,"value":390},"Données pseudonymes",[392,394],{"locale":36,"value":393},"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.",{"locale":39,"value":395},"Les données de chaque personne sont liées à un jeton (hachage, identifiant, modèle) qui permet à ce système de reconnaître la même personne d’un événement à l’autre, mais le jeton lui-même ne révèle pas de nom. La réidentification est possible avec des informations supplémentaires.","#9575CD",{"id":398,"name":399,"description":404,"color":409},"identifiable",[400,402],{"locale":36,"value":401},"Identifiable data",{"locale":39,"value":403},"Données identifiables",[405,407],{"locale":36,"value":406},"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.",{"locale":39,"value":408},"Les données contiennent un identifiant direct (nom, adresse, nom de compte, visage ou voix reconnaissable, plaque d’immatriculation) ou portent un jeton que ce système utilise pour rechercher l’identité légale pendant le traitement.","#FFD700",{"id":411,"name":412,"description":417,"prompt":422,"authoring_guidance":427,"examples":428,"sources":429,"required":54,"order":430,"datachain_type":56,"shape":87,"element_variables":431},"manifestation",[413,415],{"locale":36,"value":414},"Manifestation",{"locale":39,"value":416},"Point de contact",[418,420],{"locale":36,"value":419},"The form this system's output takes when it reaches the world — a screen or sign, a price, a notification, a gate opening, a spoken reply. How people meet the output, distinct from the output data itself.",{"locale":39,"value":421},"La forme que prend le résultat de ce système lorsqu'il atteint le monde — un écran ou un panneau, un prix, une notification, une barrière qui s'ouvre, une réponse vocale. La façon dont les gens rencontrent le résultat, distincte des données produites elles-mêmes.",[423,425],{"locale":36,"value":424},"How do people encounter what this system produces?",{"locale":39,"value":426},"Comment les gens rencontrent-ils ce que ce système produit ?",[],[],[],11,[432],{"id":60,"label":433,"required":54,"kind":65},[434,435],{"locale":36,"value":63},{"locale":39,"value":63},{"id":437,"name":438,"description":443,"prompt":448,"authoring_guidance":453,"examples":454,"sources":455,"required":54,"order":456,"datachain_type":56,"shape":352,"element_variables":457,"element_context":462},"output_dataset",[439,441],{"locale":36,"value":440},"Output Data",{"locale":39,"value":442},"Données de sortie",[444,446],{"locale":36,"value":445},"The output data this deployed system produces when it operates — decisions, content, and actions.",{"locale":39,"value":447},"Les données de sortie que ce système déployé produit lorsqu’il fonctionne — décisions, contenu et actions.",[449,451],{"locale":36,"value":450},"What does this AI system produce?",{"locale":39,"value":452},"Que produit ce système d’IA ?",[],[],[],10,[458],{"id":60,"label":459,"required":15,"kind":65},[460,461],{"locale":36,"value":63},{"locale":39,"value":63},{"id":359,"name":463,"description":466,"values":471},[464,465],{"locale":36,"value":362},{"locale":39,"value":364},[467,469],{"locale":36,"value":468},"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.",{"locale":39,"value":470},"À quel point les données sont identifiables lorsque ce système les produit. Le nom de l’élément indique de quoi parle la sortie ; cette couleur indique dans quelle mesure elle identifie directement une personne.",[472,481,490],{"id":372,"name":473,"description":476,"color":383},[474,475],{"locale":36,"value":375},{"locale":39,"value":377},[477,479],{"locale":36,"value":478},"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.",{"locale":39,"value":480},"Sortie concernant des personnes dont le lien à l’identité est rompu. Privée d’identifiants, floutée, agrégée ou bruitée pour que le résultat ne puisse pas raisonnablement être relié à un individu.",{"id":385,"name":482,"description":485,"color":396},[483,484],{"locale":36,"value":388},{"locale":39,"value":390},[486,488],{"locale":36,"value":487},"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.",{"locale":39,"value":489},"La sortie est étiquetée avec un jeton (hachage, identifiant, modèle) qui permet à ce système de relier le résultat à la même personne d’un événement à l’autre sans révéler de nom. La réidentification est possible avec des informations supplémentaires.",{"id":398,"name":491,"description":494,"color":409},[492,493],{"locale":36,"value":401},{"locale":39,"value":403},[495,497],{"locale":36,"value":496},"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.",{"locale":39,"value":498},"La sortie nomme une personne directement (nom, adresse, compte, visage ou voix reconnaissable, plaque) ou porte un jeton que ce système résout en identité légale dans la même étape.",{"id":500,"name":501,"description":506,"prompt":511,"authoring_guidance":516,"examples":517,"sources":518,"required":54,"order":519,"datachain_type":56,"shape":352,"element_variables":520},"processing",[502,504],{"locale":36,"value":503},"Algorithm or Model",{"locale":39,"value":505},"Algorithme ou modèle",[507,509],{"locale":36,"value":508},"What processes the input — the algorithm family, model class, or technique used to turn inputs into outputs.",{"locale":39,"value":510},"Ce qui traite les entrées — la famille d’algorithmes, la classe de modèle ou la technique utilisée pour transformer les entrées en sorties.",[512,514],{"locale":36,"value":513},"What algorithm or model processes the data?",{"locale":39,"value":515},"Quel algorithme ou modèle traite les données ?",[],[],[],9,[521],{"id":60,"label":522,"required":54,"kind":65},[523,524],{"locale":36,"value":63},{"locale":39,"value":63},{"id":526,"name":527,"description":532,"prompt":537,"authoring_guidance":542,"examples":543,"sources":544,"required":15,"order":545,"datachain_type":56,"shape":87,"element_variables":546},"purpose",[528,530],{"locale":36,"value":529},"Purpose",{"locale":39,"value":531},"But",[533,535],{"locale":36,"value":534},"Why this AI system exists — the outcome it’s designed to achieve.",{"locale":39,"value":536},"La raison d’être de ce système d’IA — le résultat qu’il vise à atteindre.",[538,540],{"locale":36,"value":539},"What is the purpose of this AI system?",{"locale":39,"value":541},"Quel est le but de ce système d’IA ?",[],[],[],1,[547],{"id":60,"label":548,"required":54,"kind":65},[549,550],{"locale":36,"value":63},{"locale":39,"value":63},{"id":552,"name":553,"description":558,"prompt":563,"authoring_guidance":568,"examples":569,"sources":570,"required":54,"order":571,"datachain_type":56,"shape":57,"element_variables":572},"retention",[554,556],{"locale":36,"value":555},"Data Retention",{"locale":39,"value":557},"Conservation des données",[559,561],{"locale":36,"value":560},"How long the data produced by this AI system is kept.",{"locale":39,"value":562},"Combien de temps les données produites par ce système d’IA sont conservées.",[564,566],{"locale":36,"value":565},"How long is the data kept?",{"locale":39,"value":567},"Combien de temps les données sont-elles conservées ?",[],[],[],13,[573,577],{"id":60,"label":574,"required":54,"kind":65},[575,576],{"locale":36,"value":63},{"locale":39,"value":63},{"id":578,"label":579,"required":15,"kind":65},"duration",[580,582],{"locale":36,"value":581},"Duration",{"locale":39,"value":583},"Durée",{"id":585,"name":586,"description":591,"prompt":596,"authoring_guidance":601,"examples":602,"sources":603,"required":54,"order":604,"datachain_type":56,"shape":605,"element_variables":606},"rights",[587,589],{"locale":36,"value":588},"Rights",{"locale":39,"value":590},"Droits",[592,594],{"locale":36,"value":593},"What you can do in relation to this AI system — how to access, contest, or opt out.",{"locale":39,"value":595},"Ce que vous pouvez faire par rapport à ce système d’IA — comment y accéder, le contester ou vous y soustraire.",[597,599],{"locale":36,"value":598},"What are your rights?",{"locale":39,"value":600},"Quels sont vos droits ?",[],[],[],6,"octagon",[607],{"id":585,"label":608,"required":15,"kind":65},[609,611],{"locale":36,"value":610},"Description of Rights",{"locale":39,"value":612},"Description des droits",{"id":614,"name":615,"description":620,"prompt":625,"authoring_guidance":630,"examples":631,"sources":632,"required":54,"order":638,"datachain_type":56,"shape":605,"element_variables":639},"risks_mitigation",[616,618],{"locale":36,"value":617},"Risks & Mitigation",{"locale":39,"value":619},"Risques et atténuation",[621,623],{"locale":36,"value":622},"The risks this AI system could create and how they’re being addressed.",{"locale":39,"value":624},"Les risques que ce système d’IA pourrait créer et la manière dont ils sont traités.",[626,628],{"locale":36,"value":627},"What are the risks and how are they mitigated?",{"locale":39,"value":629},"Quels sont les risques et comment sont-ils atténués ?",[],[],[633],{"type":634,"title":635,"url":636,"citation":637},"research_paper","A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms","https:\u002F\u002Farxiv.org\u002Fabs\u002F2407.01294","Abercrombie et al. (2024). arXiv:2407.01294. CC BY-SA 4.0.",5,[640,647],{"id":641,"label":642,"required":15,"kind":65},"risk",[643,645],{"locale":36,"value":644},"Description of the risk",{"locale":39,"value":646},"Description du risque",{"id":648,"label":649,"required":54,"kind":65},"mitigation",[650,652],{"locale":36,"value":651},"Description of the mitigation",{"locale":39,"value":653},"Description de l'atténuation",{"id":655,"name":656,"description":661,"prompt":666,"authoring_guidance":671,"examples":672,"sources":673,"required":54,"order":674,"datachain_type":56,"shape":57,"element_variables":675},"storage",[657,659],{"locale":36,"value":658},"Data Storage",{"locale":39,"value":660},"Stockage des données",[662,664],{"locale":36,"value":663},"Where the data produced by this AI system is kept.",{"locale":39,"value":665},"Où sont conservées les données produites par ce système d’IA.",[667,669],{"locale":36,"value":668},"Where is the data stored?",{"locale":39,"value":670},"Où sont stockées les données ?",[],[],[],14,[676,680],{"id":60,"label":677,"required":54,"kind":65},[678,679],{"locale":36,"value":63},{"locale":39,"value":63},{"id":578,"label":681,"required":15,"kind":65},[682,683],{"locale":36,"value":581},{"locale":39,"value":583},{"ok":15,"version":27,"elements":685,"meta":3799},[686,709,734,756,778,800,821,843,869,890,911,932,954,975,996,1022,1047,1069,1091,1117,1138,1162,1188,1210,1232,1252,1274,1296,1321,1343,1369,1391,1412,1433,1454,1478,1502,1526,1547,1568,1589,1615,1637,1659,1681,1707,1730,1751,1773,1794,1831,1853,1875,1900,1922,1944,1965,1989,2021,2043,2066,2089,2120,2146,2168,2189,2216,2237,2259,2280,2302,2323,2348,2370,2391,2412,2434,2457,2476,2495,2514,2533,2557,2583,2602,2623,2644,2665,2693,2715,2741,2762,2788,2809,2831,2853,2874,2896,2922,2944,2965,2991,3012,3034,3056,3078,3100,3122,3143,3165,3186,3208,3229,3250,3274,3295,3317,3338,3360,3385,3407,3426,3452,3474,3495,3520,3545,3570,3595,3616,3649,3671,3692,3714,3735,3756,3777],{"id":687,"category_id":526,"title":688,"description":693,"authoring_guidance":698,"examples":699,"sources":700,"symbol_id":687,"variables":701,"shape":87,"icon_variants":706},"accessibility",[689,691],{"locale":36,"value":690},"Accessibility",{"locale":39,"value":692},"Accessibilité",[694,696],{"locale":36,"value":695},"Ensures that everyone has equal access to a space or a service.",{"locale":39,"value":697},"Garantit l'égalité d'accés de tous à un espace ou à un service.",[],[],[],[702],{"id":60,"label":703,"required":54,"kind":65},[704,705],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],"default","dark",{"id":710,"category_id":140,"title":711,"description":716,"authoring_guidance":721,"examples":722,"sources":723,"symbol_id":724,"variables":725,"shape":87,"icon_variants":730},"acts",[712,714],{"locale":36,"value":713},"Acts",{"locale":39,"value":715},"Agit",[717,719],{"locale":36,"value":718},"Acts — plans a goal into steps and carries them out in software: calling tools, booking, filing, escalating, running multi-step workflows on someone's behalf. The output is an action taken, not a piece of content returned. Examples: booking a meeting, filing a return, escalating a ticket. When the action moves something physical, that is Moves.",{"locale":39,"value":720},"Agit — décompose un objectif en étapes et les exécute dans le logiciel : appeler des outils, réserver, déposer, escalader, dérouler des processus en plusieurs étapes pour le compte de quelqu'un. Le résultat est une action accomplie, pas un contenu renvoyé. Exemples : réserver une réunion, déposer une déclaration, escalader un ticket. Quand l'action déplace quelque chose de physique, il s'agit d'Actionne.",[],[],[],"mode_agentic",[726],{"id":60,"label":727,"required":54,"kind":65},[728,729],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,188,731,201,732,214,733],"human_decides.dark","human_oversees.dark","autonomous.dark",{"id":735,"category_id":500,"title":736,"description":741,"authoring_guidance":746,"examples":747,"sources":748,"symbol_id":749,"variables":750,"shape":352,"icon_variants":755},"affect_emotion_analysis",[737,739],{"locale":36,"value":738},"Affect & Emotion Analysis",{"locale":39,"value":740},"Analyse de l'affect et des émotions",[742,744],{"locale":36,"value":743},"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.",{"locale":39,"value":745},"Systèmes d'IA qui infèrent un état émotionnel, une humeur ou un sentiment à partir de texte, de parole, d'expressions faciales ou de signaux physiologiques. Utilisés pour évaluer le ressenti d'une foule, mesurer l'expérience d'un service ou détecter une détresse. La précision et l'équité culturelle de l'inférence d'affect sont contestées, et certaines juridictions limitent son usage en milieu professionnel et dans les services publics.",[],[],[],"processing_sentiment-analysis",[751],{"id":60,"label":752,"required":54,"kind":65},[753,754],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":757,"category_id":500,"title":758,"description":763,"authoring_guidance":768,"examples":769,"sources":770,"symbol_id":771,"variables":772,"shape":352,"icon_variants":777},"anomaly_detection",[759,761],{"locale":36,"value":760},"Anomaly Detection",{"locale":39,"value":762},"Détection d'anomalies",[764,766],{"locale":36,"value":765},"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.",{"locale":39,"value":767},"Systèmes d'IA qui signalent des événements, motifs ou valeurs inhabituels s'écartant d'une référence apprise du comportement normal. Utilisés pour la prédiction de pannes d'équipement, la détection de fraude, la détection d'intrusion, la surveillance des fuites d'eau et les alertes de flux de foule inhabituels. Les sorties sont en général des scores seuillés plutôt que des décisions directes.",[],[],[],"dm_anomaly-detection",[773],{"id":60,"label":774,"required":54,"kind":65},[775,776],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":779,"category_id":140,"title":780,"description":785,"authoring_guidance":790,"examples":791,"sources":792,"symbol_id":793,"variables":794,"shape":87,"icon_variants":799},"answers",[781,783],{"locale":36,"value":782},"Answers",{"locale":39,"value":784},"Répond",[786,788],{"locale":36,"value":787},"Answers — responds to people's questions in conversation: a chatbot, a voice assistant, an automated phone line. It holds a back-and-forth addressed to you in the moment. Examples: a transit chatbot explaining a delay, a service line routing your request. Distinct from Creates, which produces content that stands on its own afterward.",{"locale":39,"value":789},"Répond — répond aux questions des personnes en conversation : un chatbot, un assistant vocal, une ligne téléphonique automatisée. Il tient un échange qui s'adresse à vous sur le moment. Exemples : un chatbot de transport expliquant un retard, une ligne de service orientant votre demande. Distinct de Crée, qui produit un contenu qui existe ensuite par lui-même.",[],[],[],"chatbot",[795],{"id":60,"label":796,"required":54,"kind":65},[797,798],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,188,731,201,732,214,733],{"id":801,"category_id":526,"title":802,"description":807,"authoring_guidance":812,"examples":813,"sources":814,"symbol_id":801,"variables":815,"shape":87,"icon_variants":820},"arts_culture",[803,805],{"locale":36,"value":804},"Arts & Culture",{"locale":39,"value":806},"Arts et culture",[808,810],{"locale":36,"value":809},"Enables artistic and\u002For cultural expression.",{"locale":39,"value":811},"Permet l'expression artistique et\u002Fou culturelle.",[],[],[],[816],{"id":60,"label":817,"required":54,"kind":65},[818,819],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":822,"category_id":411,"title":823,"description":828,"authoring_guidance":833,"examples":834,"sources":835,"symbol_id":836,"variables":837,"shape":87,"icon_variants":842},"automatic_transaction",[824,826],{"locale":36,"value":825},"An automatic charge or payment",{"locale":39,"value":827},"Un débit ou paiement automatique",[829,831],{"locale":36,"value":830},"The output is money moving without you acting — a toll deducted as you drive through a gantry, a fare charged as you tap out, a fine issued, a payout released. Often the least visible encounter: you learn about it from a statement afterwards.",{"locale":39,"value":832},"Le résultat est un mouvement d'argent sans action de votre part — un péage prélevé au passage d'un portique, un tarif débité à la sortie, une amende émise, un versement déclenché. Souvent la rencontre la moins visible : vous l'apprenez après coup sur un relevé.",[],[],[],"financial_services",[838],{"id":60,"label":839,"required":54,"kind":65},[840,841],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":844,"category_id":614,"title":845,"description":850,"authoring_guidance":855,"examples":856,"sources":857,"symbol_id":858,"variables":859,"shape":605,"icon_variants":868},"autonomy_loss",[846,848],{"locale":36,"value":847},"Loss of autonomy",{"locale":39,"value":849},"Perte d'autonomie",[851,853],{"locale":36,"value":852},"The risk that the AI system limits a person's ability to make their own decisions, control their identity, or choose freely. This includes risks of restricted access to alternatives, deceptive design that nudges decisions toward a particular outcome, and lack of meaningful consent. Mitigations may include opt-out mechanisms, transparent recommendations, defaults that protect agency, and human review of consequential decisions.",{"locale":39,"value":854},"Le risque que le système d'IA limite la capacité d'une personne à prendre ses propres décisions, à contrôler son identité ou à choisir librement. Cela inclut les risques d'accès restreint à des alternatives, de conception trompeuse qui oriente les décisions vers un résultat particulier et d'absence de consentement significatif. Les mesures d'atténuation peuvent inclure des mécanismes de retrait, des recommandations transparentes, des paramètres par défaut qui protègent l'agentivité et un examen humain des décisions importantes.",[],[],[],"risks_autonomy",[860,864],{"id":641,"label":861,"required":15,"kind":65},[862,863],{"locale":36,"value":644},{"locale":39,"value":646},{"id":648,"label":865,"required":54,"kind":65},[866,867],{"locale":36,"value":651},{"locale":39,"value":653},[707,708],{"id":870,"category_id":33,"title":871,"description":876,"authoring_guidance":881,"examples":882,"sources":883,"symbol_id":870,"variables":884,"shape":57,"icon_variants":889},"available_for_resale",[872,874],{"locale":36,"value":873},"Available for resale",{"locale":39,"value":875},"Disponible à la revente",[877,879],{"locale":36,"value":878},"The data collected may be resold to other 3rd parties",{"locale":39,"value":880},"Les données collectées peuvent être revendues à d'autres tiers.",[],[],[],[885],{"id":60,"label":886,"required":54,"kind":65},[887,888],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":891,"category_id":33,"title":892,"description":897,"authoring_guidance":902,"examples":903,"sources":904,"symbol_id":891,"variables":905,"shape":57,"icon_variants":910},"available_to_3rd_parties",[893,895],{"locale":36,"value":894},"Available to 3rd parties",{"locale":39,"value":896},"Données mise à la disposition de tiers",[898,900],{"locale":36,"value":899},"Data is available to 3rd parties not involved in the data activity. This does not always mean that data is being resold.",{"locale":39,"value":901},"Les données sont disponibles pour des tiers non impliqués dans l'activité de données",[],[],[],[906],{"id":60,"label":907,"required":54,"kind":65},[908,909],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":912,"category_id":33,"title":913,"description":918,"authoring_guidance":923,"examples":924,"sources":925,"symbol_id":912,"variables":926,"shape":57,"icon_variants":931},"available_to_download",[914,916],{"locale":36,"value":915},"Available to download",{"locale":39,"value":917},"Disponible pour le téléchargement",[919,921],{"locale":36,"value":920},"Data that can be accessed and downloaded online, either for free or for a fee",{"locale":39,"value":922},"Des données qui peuvent être consultées et téléchargées en ligne.",[],[],[],[927],{"id":60,"label":928,"required":54,"kind":65},[929,930],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":933,"category_id":33,"title":934,"description":939,"authoring_guidance":944,"examples":945,"sources":946,"symbol_id":947,"variables":948,"shape":57,"icon_variants":953},"available_to_me",[935,937],{"locale":36,"value":936},"Available to me",{"locale":39,"value":938},"Disponible pour moi",[940,942],{"locale":36,"value":941},"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.",{"locale":39,"value":943},"Disponible pour moi mais pas pour d'autres individus. Par exemple, en tant qu'individu, vous avez accés à tous vos enregistrements de péage électronique pour votre voiture, mais les autres individus n'y ont pas accés.",[],[],[],"available",[949],{"id":60,"label":950,"required":54,"kind":65},[951,952],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":955,"category_id":33,"title":956,"description":961,"authoring_guidance":966,"examples":967,"sources":968,"symbol_id":947,"variables":969,"shape":57,"icon_variants":974},"available_to_the_accountable_organization",[957,959],{"locale":36,"value":958},"Available to the accountable organization",{"locale":39,"value":960},"Données mises à la disposition de l’organisation responsable",[962,964],{"locale":36,"value":963},"Data is available to the accountable organization",{"locale":39,"value":965},"Les données sont mises à disposition de l’organisation responsable",[],[],[],[970],{"id":60,"label":971,"required":54,"kind":65},[972,973],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":976,"category_id":33,"title":977,"description":982,"authoring_guidance":987,"examples":988,"sources":989,"symbol_id":947,"variables":990,"shape":57,"icon_variants":995},"available_to_vendor",[978,980],{"locale":36,"value":979},"Available to vendor",{"locale":39,"value":981},"Disponible pour le vendeur",[983,985],{"locale":36,"value":984},"Data is available to the data collection or technology provider",{"locale":39,"value":986},"Les données sont disponibles pour le fournisseur de la collecte de données ou de la technologie",[],[],[],[991],{"id":60,"label":992,"required":54,"kind":65},[993,994],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":997,"category_id":655,"title":998,"description":1003,"authoring_guidance":1008,"examples":1009,"sources":1010,"symbol_id":1011,"variables":1012,"shape":57,"icon_variants":1021},"backed_up_internationally",[999,1001],{"locale":36,"value":1000},"Backed up internationally",{"locale":39,"value":1002},"Sauvegardé à internationale",[1004,1006],{"locale":36,"value":1005},"Data is backed up outside the jurisdiction where it was collected.",{"locale":39,"value":1007},"Les données sont sauvegardées en dehors de la juridiction où elles ont été collectées.",[],[],[],"stored",[1013,1017],{"id":60,"label":1014,"required":54,"kind":65},[1015,1016],{"locale":36,"value":63},{"locale":39,"value":63},{"id":578,"label":1018,"required":15,"kind":65},[1019,1020],{"locale":36,"value":581},{"locale":39,"value":583},[707,708],{"id":1023,"category_id":655,"title":1024,"description":1029,"authoring_guidance":1034,"examples":1035,"sources":1036,"symbol_id":1011,"variables":1037,"shape":57,"icon_variants":1046},"backed_up_locally",[1025,1027],{"locale":36,"value":1026},"Backed up locally",{"locale":39,"value":1028},"Sauvegardé localement",[1030,1032],{"locale":36,"value":1031},"Data is backed up with the jurisdiction where it was collected.",{"locale":39,"value":1033},"Les données sont sauvegardées dans la juridiction où elles ont été collectées.",[],[],[],[1038,1042],{"id":60,"label":1039,"required":54,"kind":65},[1040,1041],{"locale":36,"value":63},{"locale":39,"value":63},{"id":578,"label":1043,"required":15,"kind":65},[1044,1045],{"locale":36,"value":581},{"locale":39,"value":583},[707,708],{"id":1048,"category_id":500,"title":1049,"description":1054,"authoring_guidance":1059,"examples":1060,"sources":1061,"symbol_id":1062,"variables":1063,"shape":352,"icon_variants":1068},"biometric_recognition",[1050,1052],{"locale":36,"value":1051},"Biometric Recognition",{"locale":39,"value":1053},"Reconnaissance biométrique",[1055,1057],{"locale":36,"value":1056},"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.",{"locale":39,"value":1058},"Systèmes d'IA qui identifient ou vérifient une personne précise à partir de signaux biologiques — visage, empreinte digitale, voix, iris ou démarche. Distinct de la vision par ordinateur générique car la sortie est liée à un individu nommé. De nombreuses juridictions restreignent ou interdisent la reconnaissance biométrique dans les espaces accessibles au public.",[],[],[],"personal",[1064],{"id":60,"label":1065,"required":54,"kind":65},[1066,1067],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1070,"category_id":306,"title":1071,"description":1076,"authoring_guidance":1081,"examples":1082,"sources":1083,"symbol_id":1084,"variables":1085,"shape":87,"icon_variants":1090},"biometric_scanner",[1072,1074],{"locale":36,"value":1073},"Biometric Scanner",{"locale":39,"value":1075},"Lecteur biométrique",[1077,1079],{"locale":36,"value":1078},"Captures a physical trait for identification — fingerprint, palm, iris, or a face scan at a gate, kiosk, or turnstile. The capture device itself; matching the scan against stored templates is biometric recognition, which appears under Algorithm or Model.",{"locale":39,"value":1080},"Capte un trait physique à des fins d'identification — empreinte digitale, paume, iris ou visage à une porte, une borne ou un tourniquet. Le dispositif de capture lui-même ; la comparaison avec des gabarits enregistrés relève de la reconnaissance biométrique, qui figure sous Algorithme ou modèle.",[],[],[],"biometrics",[1086],{"id":60,"label":1087,"required":54,"kind":65},[1088,1089],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1092,"category_id":526,"title":1093,"description":1098,"authoring_guidance":1103,"examples":1104,"sources":1105,"symbol_id":1092,"variables":1111,"shape":87,"icon_variants":1116},"border_immigration",[1094,1096],{"locale":36,"value":1095},"Border & Immigration",{"locale":39,"value":1097},"Frontière et immigration",[1099,1101],{"locale":36,"value":1100},"Supports immigration, asylum, or border-crossing decisions or processing — for example, border-control facial recognition, visa adjudication, asylum risk assessment.",{"locale":39,"value":1102},"Soutient les décisions ou traitements en matière d'immigration, d'asile ou de passage de frontière — par exemple, la reconnaissance faciale au contrôle frontalier, la décision sur les visas, l'évaluation du risque en asile.",[],[],[1106],{"type":1107,"title":1108,"url":1109,"citation":1110},"regulation","EU AI Act Annex III §7 — Migration, asylum, and border-control management","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj","Regulation (EU) 2024\u002F1689, Article 6(2) and Annex III §7 — including risk assessments, polygraph-style detection, and verification of travel-document authenticity.",[1112],{"id":60,"label":1113,"required":54,"kind":65},[1114,1115],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1118,"category_id":306,"title":1119,"description":1124,"authoring_guidance":1129,"examples":1130,"sources":1131,"symbol_id":1118,"variables":1132,"shape":87,"icon_variants":1137},"camera",[1120,1122],{"locale":36,"value":1121},"Camera",{"locale":39,"value":1123},"Caméra",[1125,1127],{"locale":36,"value":1126},"Captures still images or video of a place — mounted on a pole, a vehicle, a drone, or built into a device. Includes infrared and thermal cameras. This is the capture device itself; the techniques that analyze the footage appear under Algorithm or Model, and how identifiable the footage is appears on the Input Data category.",{"locale":39,"value":1128},"Capte des images fixes ou de la vidéo d'un lieu — montée sur un poteau, un véhicule, un drone ou intégrée à un appareil. Comprend les caméras infrarouges et thermiques. Il s'agit du dispositif de capture lui-même ; les techniques qui analysent les images figurent sous Algorithme ou modèle, et le degré d'identifiabilité des images figure sur les données d'entrée.",[],[],[],[1133],{"id":60,"label":1134,"required":54,"kind":65},[1135,1136],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1139,"category_id":411,"title":1140,"description":1145,"authoring_guidance":1150,"examples":1151,"sources":1152,"symbol_id":793,"variables":1156,"shape":87,"icon_variants":1161},"chatbot_voice_reply",[1141,1143],{"locale":36,"value":1142},"A chatbot or voice reply",{"locale":39,"value":1144},"Une réponse de chatbot ou vocale",[1146,1148],{"locale":36,"value":1147},"The output arrives as a conversational answer — a chatbot message, a voice assistant's response, an automated phone agent. You encounter the system by talking with it, and it should be clear you are not talking to a person.",{"locale":39,"value":1149},"Le résultat arrive sous forme de réponse conversationnelle — message de chatbot, réponse d'assistant vocal, agent téléphonique automatisé. Vous rencontrez le système en dialoguant avec lui, et il doit être clair que vous ne parlez pas à une personne.",[],[],[1153],{"type":1107,"title":1154,"url":1109,"citation":1155},"EU AI Act Article 50(1) — people must be informed they are interacting with an AI system","Regulation (EU) 2024\u002F1689, Article 50(1).",[1157],{"id":60,"label":1158,"required":54,"kind":65},[1159,1160],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1163,"category_id":614,"title":1164,"description":1169,"authoring_guidance":1174,"examples":1175,"sources":1176,"symbol_id":1177,"variables":1178,"shape":605,"icon_variants":1187},"civil_liberties_harm",[1165,1167],{"locale":36,"value":1166},"Civil liberties harm",{"locale":39,"value":1168},"Atteinte aux libertés civiles",[1170,1172],{"locale":36,"value":1171},"The risk that the AI system compromises fundamental human rights and civil liberties — speech, assembly, movement, due process, or freedom from arbitrary surveillance. This includes risks from mass facial recognition, predictive policing, censorship of lawful expression, and chilling effects on protest. Mitigations may include strict purpose limits, judicial or independent oversight, narrow data retention, and human-rights impact assessments before deployment.",{"locale":39,"value":1173},"Le risque que le système d'IA compromette les droits humains fondamentaux et les libertés civiles — expression, réunion, circulation, procédure équitable ou protection contre la surveillance arbitraire. Cela inclut les risques liés à la reconnaissance faciale de masse, à la police prédictive, à la censure de l'expression légale et aux effets dissuasifs sur la contestation. Les mesures d'atténuation peuvent inclure des limites strictes de finalité, une supervision judiciaire ou indépendante, une rétention de données restreinte et des évaluations d'impact sur les droits humains avant le déploiement.",[],[],[],"risks_civil-liberties",[1179,1183],{"id":641,"label":1180,"required":15,"kind":65},[1181,1182],{"locale":36,"value":644},{"locale":39,"value":646},{"id":648,"label":1184,"required":54,"kind":65},[1185,1186],{"locale":36,"value":651},{"locale":39,"value":653},[707,708],{"id":1189,"category_id":500,"title":1190,"description":1195,"authoring_guidance":1200,"examples":1201,"sources":1202,"symbol_id":1203,"variables":1204,"shape":352,"icon_variants":1209},"classification_prediction",[1191,1193],{"locale":36,"value":1192},"Classification & Prediction",{"locale":39,"value":1194},"Classification et prédiction",[1196,1198],{"locale":36,"value":1197},"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.",{"locale":39,"value":1199},"Systèmes d'IA qui attribuent une étiquette à une entrée ou estiment un résultat numérique : classifieurs (spam ou non, niveau de risque), modèles de régression (demande prévue, temps d'attente attendu) et prévisions de séries temporelles (fréquentation à la prochaine heure, charge énergétique). Construits à partir de données historiques étiquetées par des modèles statistiques ou d'apprentissage automatique.",[],[],[],"processing_time-series-forecasting",[1205],{"id":60,"label":1206,"required":54,"kind":65},[1207,1208],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1211,"category_id":500,"title":1212,"description":1217,"authoring_guidance":1222,"examples":1223,"sources":1224,"symbol_id":1225,"variables":1226,"shape":352,"icon_variants":1231},"clustering_segmentation",[1213,1215],{"locale":36,"value":1214},"Clustering & Segmentation",{"locale":39,"value":1216},"Regroupement et segmentation",[1218,1220],{"locale":36,"value":1219},"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.",{"locale":39,"value":1221},"Systèmes d'IA qui regroupent des personnes, lieux ou événements en groupes par similarité, sans utiliser d'étiquettes prédéfinies. Utilisés pour segmenter des audiences, des modèles de mobilité, des profils d'usage énergétique ou des zones de demande de services. Les sorties sont des affectations de groupe que les systèmes en aval peuvent traiter comme des catégories, bien que les groupes soient inférés et non définis.",[],[],[],"social",[1227],{"id":60,"label":1228,"required":54,"kind":65},[1229,1230],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1233,"category_id":526,"title":1234,"description":1238,"authoring_guidance":1243,"examples":1244,"sources":1245,"symbol_id":1233,"variables":1246,"shape":87,"icon_variants":1251},"commerce",[1235,1237],{"locale":36,"value":1236},"Commerce",{"locale":39,"value":1236},[1239,1241],{"locale":36,"value":1240},"Enables the buying and selling of goods and services.",{"locale":39,"value":1242},"Permet l'achat et la vente de biens et de services.",[],[],[],[1247],{"id":60,"label":1248,"required":54,"kind":65},[1249,1250],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1253,"category_id":500,"title":1254,"description":1259,"authoring_guidance":1264,"examples":1265,"sources":1266,"symbol_id":1267,"variables":1268,"shape":352,"icon_variants":1273},"computer_vision",[1255,1257],{"locale":36,"value":1256},"Computer Vision",{"locale":39,"value":1258},"Vision par ordinateur",[1260,1262],{"locale":36,"value":1261},"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.",{"locale":39,"value":1263},"Systèmes d'IA qui interprètent des images ou des vidéos : comptage de personnes, détection d'objets, lecture de texte dans des images, suivi de mouvements ou segmentation de scènes. Courant dans la détection d'occupation, la surveillance du trafic et des foules, l'assistance à l'accessibilité et l'inspection de la signalisation. Distinct de la reconnaissance biométrique, qui identifie des personnes spécifiques.",[],[],[],"pixel_based_image",[1269],{"id":60,"label":1270,"required":54,"kind":65},[1271,1272],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1275,"category_id":306,"title":1276,"description":1281,"authoring_guidance":1286,"examples":1287,"sources":1288,"symbol_id":1289,"variables":1290,"shape":87,"icon_variants":1295},"connected_device_telemetry",[1277,1279],{"locale":36,"value":1278},"Connected Device Telemetry",{"locale":39,"value":1280},"Télémétrie d'appareils connectés",[1282,1284],{"locale":36,"value":1283},"Readings streamed automatically by connected things — vehicles reporting speed and position, wearables reporting heart rate, smart meters reporting energy use, machines reporting their own status. Continuous capture that runs in the background of everyday use.",{"locale":39,"value":1285},"Mesures transmises automatiquement par des objets connectés — véhicules signalant vitesse et position, objets portables signalant le rythme cardiaque, compteurs intelligents signalant la consommation d'énergie, machines signalant leur propre état. Une captation continue qui s'exécute en arrière-plan de l'usage quotidien.",[],[],[],"connectivity",[1291],{"id":60,"label":1292,"required":54,"kind":65},[1293,1294],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1297,"category_id":526,"title":1298,"description":1303,"authoring_guidance":1308,"examples":1309,"sources":1310,"symbol_id":1297,"variables":1315,"shape":87,"icon_variants":1320},"content_moderation",[1299,1301],{"locale":36,"value":1300},"Content Moderation",{"locale":39,"value":1302},"Modération de contenu",[1304,1306],{"locale":36,"value":1305},"Filters, ranks, or removes user-generated content based on policies — for example, comment moderation on a public-facing kiosk, image filtering, or hate-speech detection.",{"locale":39,"value":1307},"Filtre, classe ou retire du contenu généré par les utilisateurs selon des politiques — par exemple, la modération de commentaires sur une borne publique, le filtrage d'images, ou la détection de discours haineux.",[],[],[1311],{"type":1107,"title":1312,"url":1313,"citation":1314},"EU Digital Services Act — Articles 14–17 (notice-and-action, statements of reasons, internal complaint handling)","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2022\u002F2065\u002Foj","Regulation (EU) 2022\u002F2065, Articles 14–17.",[1316],{"id":60,"label":1317,"required":54,"kind":65},[1318,1319],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1322,"category_id":140,"title":1323,"description":1328,"authoring_guidance":1333,"examples":1334,"sources":1335,"symbol_id":1336,"variables":1337,"shape":87,"icon_variants":1342},"creates",[1324,1326],{"locale":36,"value":1325},"Creates",{"locale":39,"value":1327},"Crée",[1329,1331],{"locale":36,"value":1330},"Creates — produces new text, images, audio, video, or code that did not exist before this system ran. The output is content authored by the system, not a label or score about existing data. Examples: drafting a paragraph from a prompt, generating an image from a description, composing audio, completing code. Distinct from Answers, which responds to you in conversation.",{"locale":39,"value":1332},"Crée — produit de nouveaux textes, images, sons, vidéos ou codes qui n'existaient pas avant l'exécution de ce système. Le résultat est un contenu rédigé par le système, pas une étiquette ni une note sur des données existantes. Exemples : rédiger un paragraphe à partir d'une consigne, générer une image à partir d'une description, composer de l'audio, compléter du code. Distinct de Répond, qui vous répond en conversation.",[],[],[],"mode_generative",[1338],{"id":60,"label":1339,"required":54,"kind":65},[1340,1341],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,188,731,201,732,214,733],{"id":1344,"category_id":552,"title":1345,"description":1350,"authoring_guidance":1355,"examples":1356,"sources":1357,"symbol_id":1358,"variables":1359,"shape":57,"icon_variants":1368},"data_retained",[1346,1348],{"locale":36,"value":1347},"Retained {{duration}}",{"locale":39,"value":1349},"Retenu {{duration}}",[1351,1353],{"locale":36,"value":1352},"Data is stored for {{duration}}, and after this time period is deleted",{"locale":39,"value":1354},"Les données sont stockées pendant {{duration}} et sont supprimées après cette période.",[],[],[],"is_retained",[1360,1364],{"id":60,"label":1361,"required":54,"kind":65},[1362,1363],{"locale":36,"value":63},{"locale":39,"value":63},{"id":578,"label":1365,"required":15,"kind":65},[1366,1367],{"locale":36,"value":581},{"locale":39,"value":583},[707,708],{"id":1370,"category_id":140,"title":1371,"description":1376,"authoring_guidance":1381,"examples":1382,"sources":1383,"symbol_id":1384,"variables":1385,"shape":87,"icon_variants":1390},"decides",[1372,1374],{"locale":36,"value":1373},"Decides",{"locale":39,"value":1375},"Décide",[1377,1379],{"locale":36,"value":1378},"Decides — determines an outcome that takes effect: approving or denying, pricing, allocating, flagging for action. Examples: a dynamic road toll set from traffic, an application approved or refused, a dispatch assignment. When a person makes the final call from its suggestions, that is Recommends instead.",{"locale":39,"value":1380},"Décide — détermine un résultat qui prend effet : approuver ou refuser, fixer un prix, répartir, signaler pour action. Exemples : un péage dynamique fixé selon le trafic, une demande approuvée ou refusée, une affectation d'intervention. Quand une personne tranche à partir de ses suggestions, il s'agit plutôt de Recommande.",[],[],[],"dm_accept-or-deny",[1386],{"id":60,"label":1387,"required":54,"kind":65},[1388,1389],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,188,731,201,732,214,733],{"id":1392,"category_id":526,"title":1393,"description":1398,"authoring_guidance":1403,"examples":1404,"sources":1405,"symbol_id":1392,"variables":1406,"shape":87,"icon_variants":1411},"dining",[1394,1396],{"locale":36,"value":1395},"Dining",{"locale":39,"value":1397},"Restauration",[1399,1401],{"locale":36,"value":1400},"For providing food or meal services.",{"locale":39,"value":1402},"Pour la fourniture de services de restauration ou de repas.",[],[],[],[1407],{"id":60,"label":1408,"required":54,"kind":65},[1409,1410],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1413,"category_id":411,"title":1414,"description":1419,"authoring_guidance":1424,"examples":1425,"sources":1426,"symbol_id":1233,"variables":1427,"shape":87,"icon_variants":1432},"dynamic_price",[1415,1417],{"locale":36,"value":1416},"A dynamic price or fee",{"locale":39,"value":1418},"Un prix ou tarif dynamique",[1420,1422],{"locale":36,"value":1421},"The output shows up as what something costs — a road toll that rises with congestion, surge pricing for a ride, a parking rate that changes by demand, a personalized offer. You may never see the system itself, only the price it set.",{"locale":39,"value":1423},"Le résultat se manifeste par le coût de quelque chose — un péage qui augmente avec la congestion, une tarification de pointe pour une course, un tarif de stationnement qui varie selon la demande, une offre personnalisée. Vous ne verrez peut-être jamais le système lui-même, seulement le prix qu'il a fixé.",[],[],[],[1428],{"id":60,"label":1429,"required":54,"kind":65},[1430,1431],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1434,"category_id":526,"title":1435,"description":1440,"authoring_guidance":1445,"examples":1446,"sources":1447,"symbol_id":1434,"variables":1448,"shape":87,"icon_variants":1453},"ecology",[1436,1438],{"locale":36,"value":1437},"Ecology",{"locale":39,"value":1439},"Écologie",[1441,1443],{"locale":36,"value":1442},"Supports the measurement or monitoring of the natural environment.",{"locale":39,"value":1444},"Permet la mesure ou la surveillance de l'environnement naturel.",[],[],[],[1449],{"id":60,"label":1450,"required":54,"kind":65},[1451,1452],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1455,"category_id":526,"title":1456,"description":1461,"authoring_guidance":1466,"examples":1467,"sources":1468,"symbol_id":1455,"variables":1472,"shape":87,"icon_variants":1477},"education",[1457,1459],{"locale":36,"value":1458},"Education & Learning",{"locale":39,"value":1460},"Éducation et apprentissage",[1462,1464],{"locale":36,"value":1463},"Supports teaching, learning, assessment, or educational guidance — for example, tutoring assistants, automated grading, or library and museum recommenders.",{"locale":39,"value":1465},"Soutient l'enseignement, l'apprentissage, l'évaluation ou l'orientation pédagogique — par exemple, des assistants de tutorat, la notation automatisée, ou des recommandations de bibliothèques et musées.",[],[],[1469],{"type":1107,"title":1470,"url":1109,"citation":1471},"EU AI Act Annex III §3 — Education and vocational training","Regulation (EU) 2024\u002F1689, Article 6(2) and Annex III §3 — covering admission, evaluation of learning outcomes, and detection of prohibited behaviour during testing.",[1473],{"id":60,"label":1474,"required":54,"kind":65},[1475,1476],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1479,"category_id":526,"title":1480,"description":1485,"authoring_guidance":1490,"examples":1491,"sources":1492,"symbol_id":1479,"variables":1496,"shape":87,"icon_variants":1501},"eligibility_benefits",[1481,1483],{"locale":36,"value":1482},"Eligibility & Public Benefits",{"locale":39,"value":1484},"Éligibilité et prestations publiques",[1486,1488],{"locale":36,"value":1487},"Determines eligibility for, or distribution of, government benefits and essential public services — for example, welfare allocation, housing assistance, child-services risk scoring.",{"locale":39,"value":1489},"Détermine l'éligibilité ou la distribution de prestations publiques et de services publics essentiels — par exemple, l'attribution d'aides sociales, l'aide au logement, l'évaluation du risque en protection de l'enfance.",[],[],[1493],{"type":1107,"title":1494,"url":1109,"citation":1495},"EU AI Act Annex III §5(a) — Essential public assistance benefits and services","Regulation (EU) 2024\u002F1689, Article 6(2) and Annex III §5(a). AIAAIC repository documents recurring harms in welfare-fraud detection and child-services scoring (e.g., SyRI, Robodebt).",[1497],{"id":60,"label":1498,"required":54,"kind":65},[1499,1500],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1503,"category_id":526,"title":1504,"description":1509,"authoring_guidance":1514,"examples":1515,"sources":1516,"symbol_id":1503,"variables":1520,"shape":87,"icon_variants":1525},"employment",[1505,1507],{"locale":36,"value":1506},"Employment & Work",{"locale":39,"value":1508},"Emploi et travail",[1510,1512],{"locale":36,"value":1511},"Supports hiring, scheduling, performance evaluation, or workplace operations — for example, resume screening, shift assignment, productivity monitoring.",{"locale":39,"value":1513},"Soutient le recrutement, la planification, l'évaluation de la performance ou les opérations sur le lieu de travail — par exemple, le tri de CV, l'attribution des postes, le suivi de la productivité.",[],[],[1517],{"type":1107,"title":1518,"url":1109,"citation":1519},"EU AI Act Annex III §4 — Employment, workers management, and access to self-employment","Regulation (EU) 2024\u002F1689, Article 6(2) and Annex III §4 — including recruitment, work-relationship monitoring, and task-allocation decisions. AIAAIC repository documents recurring incidents in resume screening and workforce monitoring.",[1521],{"id":60,"label":1522,"required":54,"kind":65},[1523,1524],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1527,"category_id":526,"title":1528,"description":1533,"authoring_guidance":1538,"examples":1539,"sources":1540,"symbol_id":1527,"variables":1541,"shape":87,"icon_variants":1546},"energy_efficiency",[1529,1531],{"locale":36,"value":1530},"Energy Efficiency",{"locale":39,"value":1532},"Efficacité énergétique",[1534,1536],{"locale":36,"value":1535},"Reduces energy use and\u002For helps conserve energy.",{"locale":39,"value":1537},"Réduit la consommation d'énergie et\u002Fou aide à conserver l'énergie.",[],[],[],[1542],{"id":60,"label":1543,"required":54,"kind":65},[1544,1545],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1548,"category_id":526,"title":1549,"description":1554,"authoring_guidance":1559,"examples":1560,"sources":1561,"symbol_id":1548,"variables":1562,"shape":87,"icon_variants":1567},"enforcement",[1550,1552],{"locale":36,"value":1551},"Enforcement",{"locale":39,"value":1553},"Cadre légal",[1555,1557],{"locale":36,"value":1556},"Used for enforcement of rules or regulations.",{"locale":39,"value":1558},"Utilisé pour l'application de lois ou de réglements.",[],[],[],[1563],{"id":60,"label":1564,"required":54,"kind":65},[1565,1566],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1569,"category_id":526,"title":1570,"description":1575,"authoring_guidance":1580,"examples":1581,"sources":1582,"symbol_id":1569,"variables":1583,"shape":87,"icon_variants":1588},"entry",[1571,1573],{"locale":36,"value":1572},"Entry",{"locale":39,"value":1574},"Entrée",[1576,1578],{"locale":36,"value":1577},"Supports authentication or validation in order to access a space or a service.",{"locale":39,"value":1579},"Permet l'authentification ou la validation afin d'accéder à un espace ou à un service.",[],[],[],[1584],{"id":60,"label":1585,"required":54,"kind":65},[1586,1587],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1590,"category_id":614,"title":1591,"description":1596,"authoring_guidance":1601,"examples":1602,"sources":1603,"symbol_id":1604,"variables":1605,"shape":605,"icon_variants":1614},"environmental_harm",[1592,1594],{"locale":36,"value":1593},"Environmental harm",{"locale":39,"value":1595},"Préjudice environnemental",[1597,1599],{"locale":36,"value":1598},"The risk that the AI system causes environmental degradation through energy consumption, water use, e-waste, carbon emissions, or resource extraction for hardware. This includes risks from training-time compute, always-on inference, cooling demands of data centers, and rapid hardware churn. Mitigations may include energy and water efficiency targets, transparent reporting of compute footprint, hardware-lifecycle planning, and renewable-energy procurement for data-centre operations.",{"locale":39,"value":1600},"Le risque que le système d'IA cause une dégradation environnementale par la consommation d'énergie, l'usage de l'eau, les déchets électroniques, les émissions de carbone ou l'extraction de ressources pour le matériel. Cela inclut les risques liés au calcul d'entraînement, à l'inférence permanente, aux besoins de refroidissement des centres de données et au renouvellement rapide du matériel. Les mesures d'atténuation peuvent inclure des objectifs d'efficacité énergétique et hydrique, un reporting transparent de l'empreinte de calcul, une planification du cycle de vie du matériel et l'approvisionnement en énergies renouvelables pour les centres de données.",[],[],[],"risks_environmental",[1606,1610],{"id":641,"label":1607,"required":15,"kind":65},[1608,1609],{"locale":36,"value":644},{"locale":39,"value":646},{"id":648,"label":1611,"required":54,"kind":65},[1612,1613],{"locale":36,"value":651},{"locale":39,"value":653},[707,708],{"id":1616,"category_id":306,"title":1617,"description":1622,"authoring_guidance":1627,"examples":1628,"sources":1629,"symbol_id":1630,"variables":1631,"shape":87,"icon_variants":1636},"environmental_sensor",[1618,1620],{"locale":36,"value":1619},"Environmental Sensor",{"locale":39,"value":1621},"Capteur environnemental",[1623,1625],{"locale":36,"value":1624},"Measures conditions in the surroundings — air quality, temperature, humidity, noise level, water level, or weather. These sensors read the environment, not people, though noise and air readings can still reflect human activity.",{"locale":39,"value":1626},"Mesure les conditions ambiantes — qualité de l'air, température, humidité, niveau sonore, niveau d'eau ou météo. Ces capteurs lisent l'environnement, pas les personnes, même si les mesures de bruit et d'air peuvent refléter l'activité humaine.",[],[],[],"air",[1632],{"id":60,"label":1633,"required":54,"kind":65},[1634,1635],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1638,"category_id":306,"title":1639,"description":1644,"authoring_guidance":1649,"examples":1650,"sources":1651,"symbol_id":1652,"variables":1653,"shape":87,"icon_variants":1658},"existing_records",[1640,1642],{"locale":36,"value":1641},"Existing Records",{"locale":39,"value":1643},"Dossiers existants",[1645,1647],{"locale":36,"value":1646},"Data the organization already holds — customer accounts, case files, registries, transaction histories, past applications. Nothing new is captured from the world; the system draws on what was recorded before, sometimes for a different original purpose.",{"locale":39,"value":1648},"Données que l'organisation détient déjà — comptes clients, dossiers, registres, historiques de transactions, demandes antérieures. Rien de nouveau n'est capté dans le monde ; le système puise dans ce qui a été enregistré auparavant, parfois à une autre fin d'origine.",[],[],[],"tabular",[1654],{"id":60,"label":1655,"required":54,"kind":65},[1656,1657],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1660,"category_id":411,"title":1661,"description":1666,"authoring_guidance":1671,"examples":1672,"sources":1673,"symbol_id":1674,"variables":1675,"shape":87,"icon_variants":1680},"feed_placement",[1662,1664],{"locale":36,"value":1663},"What you see in an app or feed",{"locale":39,"value":1665},"Ce que vous voyez dans une appli ou un fil",[1667,1669],{"locale":36,"value":1668},"The output is the ordering itself — which posts, products, results, or prices appear first, and which you never see. There is no moment of encounter to notice; the system shapes the surface you were already looking at.",{"locale":39,"value":1670},"Le résultat est l'ordre lui-même — quels contenus, produits, résultats ou prix apparaissent en premier, et lesquels vous ne voyez jamais. Il n'y a pas de moment de rencontre à remarquer ; le système façonne la surface que vous regardiez déjà.",[],[],[],"dm_personalization",[1676],{"id":60,"label":1677,"required":54,"kind":65},[1678,1679],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1682,"category_id":614,"title":1683,"description":1688,"authoring_guidance":1693,"examples":1694,"sources":1695,"symbol_id":1696,"variables":1697,"shape":605,"icon_variants":1706},"financial_harm",[1684,1686],{"locale":36,"value":1685},"Financial & business harm",{"locale":39,"value":1687},"Préjudice financier et commercial",[1689,1691],{"locale":36,"value":1690},"The risk that the AI system causes financial losses to individuals or organizational damage through erroneous pricing, denied services, fraud, or market manipulation. This includes risks from automated credit decisions, dynamic-pricing inequities, AI-enabled scams, and supply-chain disruption from misuse. Mitigations may include affordability guards, fairness audits of pricing models, fraud-detection layers, and clear redress procedures.",{"locale":39,"value":1692},"Le risque que le système d'IA cause des pertes financières à des personnes ou des dommages organisationnels par une tarification erronée, des refus de services, des fraudes ou une manipulation du marché. Cela inclut les risques liés aux décisions de crédit automatisées, aux inégalités de tarification dynamique, aux escroqueries activées par l'IA et aux perturbations de la chaîne d'approvisionnement résultant d'un usage abusif. Les mesures d'atténuation peuvent inclure des garde-fous d'accessibilité financière, des audits d'équité des modèles de tarification, des couches de détection de la fraude et des procédures claires de recours.",[],[],[],"risks_financial",[1698,1702],{"id":641,"label":1699,"required":15,"kind":65},[1700,1701],{"locale":36,"value":644},{"locale":39,"value":646},{"id":648,"label":1703,"required":54,"kind":65},[1704,1705],{"locale":36,"value":651},{"locale":39,"value":653},[707,708],{"id":836,"category_id":526,"title":1708,"description":1713,"authoring_guidance":1718,"examples":1719,"sources":1720,"symbol_id":836,"variables":1724,"shape":87,"icon_variants":1729},[1709,1711],{"locale":36,"value":1710},"Financial Services",{"locale":39,"value":1712},"Services financiers",[1714,1716],{"locale":36,"value":1715},"Supports lending, insurance, fraud detection, or other financial decisions about people — for example, credit scoring, insurance underwriting, transaction-fraud flagging.",{"locale":39,"value":1717},"Soutient le crédit, l'assurance, la détection de fraude ou d'autres décisions financières concernant des personnes — par exemple, l'évaluation du crédit, la souscription d'assurance, le signalement de fraude transactionnelle.",[],[],[1721],{"type":1107,"title":1722,"url":1109,"citation":1723},"EU AI Act Annex III §5(b)+(c) — Credit-scoring and life\u002Fhealth insurance risk assessment & pricing","Regulation (EU) 2024\u002F1689, Article 6(2) and Annex III §5(b) and §5(c).",[1725],{"id":60,"label":1726,"required":54,"kind":65},[1727,1728],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1731,"category_id":526,"title":1732,"description":1737,"authoring_guidance":1742,"examples":1743,"sources":1744,"symbol_id":1731,"variables":1745,"shape":87,"icon_variants":1750},"fire_emergency",[1733,1735],{"locale":36,"value":1734},"Fire & Emergency",{"locale":39,"value":1736},"Incendie et urgence",[1738,1740],{"locale":36,"value":1739},"Supports services that ensure public safety and health related to emergencies.",{"locale":39,"value":1741},"Contribue au fonctionnement des services qui assurent la sécurité et la santé publiques en cas d'urgences.",[],[],[],[1746],{"id":60,"label":1747,"required":54,"kind":65},[1748,1749],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1752,"category_id":411,"title":1753,"description":1758,"authoring_guidance":1763,"examples":1764,"sources":1765,"symbol_id":1766,"variables":1767,"shape":87,"icon_variants":1772},"gate_barrier_machine",[1754,1756],{"locale":36,"value":1755},"A gate, barrier, or machine",{"locale":39,"value":1757},"Une barrière, un portail ou une machine",[1759,1761],{"locale":36,"value":1760},"The output is something moving — a turnstile that opens or stays shut, a boom gate, a delivery robot, a door lock. The physical motion is how you encounter the decision; the command that triggers it is the system's output data.",{"locale":39,"value":1762},"Le résultat est un mouvement — un tourniquet qui s'ouvre ou reste fermé, une barrière levante, un robot de livraison, un verrou de porte. Le mouvement physique est la façon dont vous rencontrez la décision ; la commande qui le déclenche est la donnée de sortie du système.",[],[],[],"physical_action",[1768],{"id":60,"label":1769,"required":54,"kind":65},[1770,1771],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1774,"category_id":526,"title":1775,"description":1780,"authoring_guidance":1785,"examples":1786,"sources":1787,"symbol_id":1434,"variables":1788,"shape":87,"icon_variants":1793},"health",[1776,1778],{"locale":36,"value":1777},"Environmental Health",{"locale":39,"value":1779},"Santé environnementale",[1781,1783],{"locale":36,"value":1782},"Measures or monitors aspects of the physical environment that affect human health — air quality, water quality, radiation, noise, or workplace exposures. Distinct from Healthcare, which supports clinical care for individuals.",{"locale":39,"value":1784},"Mesure ou surveille les aspects de l'environnement physique qui affectent la santé humaine — qualité de l'air, qualité de l'eau, rayonnements, bruit ou expositions sur le lieu de travail. À distinguer de Soins de santé, qui soutient les soins cliniques aux personnes.",[],[],[],[1789],{"id":60,"label":1790,"required":54,"kind":65},[1791,1792],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1795,"category_id":526,"title":1796,"description":1801,"authoring_guidance":1806,"examples":1807,"sources":1808,"symbol_id":1774,"variables":1825,"shape":87,"icon_variants":1830},"healthcare",[1797,1799],{"locale":36,"value":1798},"Healthcare",{"locale":39,"value":1800},"Soins de santé",[1802,1804],{"locale":36,"value":1803},"Supports clinical care for individuals — for example, diagnosis assistance, treatment recommendations, patient triage, or health chatbots. Distinct from Environmental Health, which monitors the physical environment.",{"locale":39,"value":1805},"Soutient les soins cliniques aux personnes — par exemple, aide au diagnostic, recommandations de traitement, triage des patients ou chatbots de santé. À distinguer de Santé environnementale, qui surveille l'environnement physique.",[],[],[1809,1814,1818,1822],{"type":1810,"title":1811,"url":1812,"citation":1813},"policy_document","Ethics and Governance of Artificial Intelligence for Health","https:\u002F\u002Fwww.who.int\u002Fpublications\u002Fi\u002Fitem\u002F9789240029200","World Health Organization, 2021.",{"type":1107,"title":1815,"url":1816,"citation":1817},"EU Medical Device Regulation","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2017\u002F745\u002Foj","Regulation (EU) 2017\u002F745.",{"type":1107,"title":1819,"url":1820,"citation":1821},"EU In Vitro Diagnostic Regulation","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2017\u002F746\u002Foj","Regulation (EU) 2017\u002F746.",{"type":1107,"title":1823,"url":1109,"citation":1824},"EU AI Act Annex II — Safety components overlay","Regulation (EU) 2024\u002F1689, Annex II.",[1826],{"id":60,"label":1827,"required":54,"kind":65},[1828,1829],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1832,"category_id":140,"title":1833,"description":1838,"authoring_guidance":1843,"examples":1844,"sources":1845,"symbol_id":1846,"variables":1847,"shape":87,"icon_variants":1852},"identifies",[1834,1836],{"locale":36,"value":1835},"Identifies",{"locale":39,"value":1837},"Identifie",[1839,1841],{"locale":36,"value":1840},"Identifies — recognizes who or what something is by matching a face, voice, fingerprint, plate, or account against known records. It turns \"someone is here\" into \"this person is here.\" Examples: a face match at a boarding gate, a plate lookup at a toll gantry. Distinct from Senses, which detects without naming.",{"locale":39,"value":1842},"Identifie — reconnaît qui ou quoi en comparant un visage, une voix, une empreinte, une plaque ou un compte à des références connues. Il transforme « quelqu'un est là » en « cette personne est là ». Exemples : une correspondance faciale à une porte d'embarquement, une recherche de plaque à un portique de péage. Distinct de Perçoit, qui détecte sans nommer.",[],[],[],"biometric",[1848],{"id":60,"label":1849,"required":54,"kind":65},[1850,1851],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,188,731,201,732,214,733],{"id":1854,"category_id":526,"title":1855,"description":1860,"authoring_guidance":1865,"examples":1866,"sources":1867,"symbol_id":1868,"variables":1869,"shape":87,"icon_variants":1874},"inform",[1856,1858],{"locale":36,"value":1857},"Inform",{"locale":39,"value":1859},"Informer",[1861,1863],{"locale":36,"value":1862},"Supports general-purpose information assistance — concierge, FAQ, signage, or guidance about a service. Distinct from Wayfinding & Services, which covers spatial orientation and routing within a place.",{"locale":39,"value":1864},"Permet une assistance informative à usage général : conciergerie, FAQ, signalétique ou orientation sur un service. À distinguer de Signalisation et services, qui couvre l'orientation spatiale et les itinéraires dans un lieu.",[],[],[],"light_waves",[1870],{"id":60,"label":1871,"required":54,"kind":65},[1872,1873],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1876,"category_id":332,"title":1877,"description":1882,"authoring_guidance":1887,"examples":1888,"sources":1889,"symbol_id":1890,"variables":1891,"shape":352,"icon_variants":1896},"input_about_a_measurement",[1878,1880],{"locale":36,"value":1879},"Data about a measurement",{"locale":39,"value":1881},"Données sur une mesure",[1883,1885],{"locale":36,"value":1884},"Sensor readings — air quality, temperature, sound level, energy, water flow. The AI takes in numeric measurements from physical sensors, usually with no person attached. Examples: PM2.5 readings from an air-quality monitor, decibel levels from a sound sensor, kilowatt-hours from a meter.",{"locale":39,"value":1886},"Relevés de capteurs : qualité de l'air, température, niveau sonore, énergie, débit d'eau. L'IA reçoit des mesures numériques issues de capteurs physiques, généralement non rattachées à une personne. Exemples : des relevés PM2,5 d'un moniteur de qualité de l'air, des décibels d'un capteur acoustique, des kilowattheures d'un compteur.",[],[],[],"values_time",[1892],{"id":60,"label":1893,"required":15,"kind":65},[1894,1895],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],"de_identified.dark","pseudonymous.dark","identifiable.dark",{"id":1901,"category_id":332,"title":1902,"description":1907,"authoring_guidance":1912,"examples":1913,"sources":1914,"symbol_id":1915,"variables":1916,"shape":352,"icon_variants":1921},"input_about_a_place",[1903,1905],{"locale":36,"value":1904},"Data about a place",{"locale":39,"value":1906},"Données sur un lieu",[1908,1910],{"locale":36,"value":1909},"Locations, routes, surroundings, or floor plans. The AI takes in data describing where something is. Examples: GPS coordinates from a phone, foot-traffic counts on a sidewalk, a map of building corridors.",{"locale":39,"value":1911},"Lieux, itinéraires, environnement ou plans. L'IA reçoit des données décrivant l'endroit où se trouve quelque chose. Exemples : des coordonnées GPS d'un téléphone, des comptages de passages piétons, le plan des couloirs d'un bâtiment.",[],[],[],"spatial",[1917],{"id":60,"label":1918,"required":15,"kind":65},[1919,1920],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":1923,"category_id":332,"title":1924,"description":1929,"authoring_guidance":1934,"examples":1935,"sources":1936,"symbol_id":1937,"variables":1938,"shape":352,"icon_variants":1943},"input_about_behaviour",[1925,1927],{"locale":36,"value":1926},"Data about behaviour",{"locale":39,"value":1928},"Données sur le comportement",[1930,1932],{"locale":36,"value":1931},"Taps, choices, paths walked, dwell time, purchases, or queries. The AI takes in records of what people did. Examples: tapped destinations on a wayfinding kiosk, items added to a cart, a search query typed into a public terminal.",{"locale":39,"value":1933},"Touchers d'écran, choix, déplacements, temps de présence, achats ou requêtes. L'IA reçoit des registres de ce que les personnes ont fait. Exemples : destinations touchées sur une borne de signalisation, articles ajoutés à un panier, une requête tapée sur un terminal public.",[],[],[],"about_behaviour",[1939],{"id":60,"label":1940,"required":15,"kind":65},[1941,1942],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":1945,"category_id":332,"title":1946,"description":1951,"authoring_guidance":1956,"examples":1957,"sources":1958,"symbol_id":1846,"variables":1959,"shape":352,"icon_variants":1964},"input_biometric",[1947,1949],{"locale":36,"value":1948},"Biometric data",{"locale":39,"value":1950},"Données biométriques",[1952,1954],{"locale":36,"value":1953},"Faces, fingerprints, voice prints, gait, gestures, gaze, posture. The AI takes in biological signals from a person's body. Examples: a face captured at a turnstile, a voice recorded by a kiosk microphone, gait analyzed by an overhead camera.",{"locale":39,"value":1955},"Visages, empreintes digitales, empreintes vocales, démarche, gestes, regard, posture. L'IA reçoit des signaux biologiques provenant du corps d'une personne. Exemples : un visage capturé à un tourniquet, une voix enregistrée par le microphone d'une borne, une démarche analysée par une caméra zénithale.",[],[],[],[1960],{"id":60,"label":1961,"required":15,"kind":65},[1962,1963],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":1966,"category_id":332,"title":1967,"description":1972,"authoring_guidance":1977,"examples":1978,"sources":1979,"symbol_id":1384,"variables":1983,"shape":352,"icon_variants":1988},"input_decision",[1968,1970],{"locale":36,"value":1969},"A decision about you",{"locale":39,"value":1971},"Une décision à propos de vous",[1973,1975],{"locale":36,"value":1974},"An eligibility, classification, ranking, or yes\u002Fno that another system already made about a person. The AI takes in this prior decision and uses it as input. Examples: a credit score from another model, an access-allow flag from upstream, a triage class assigned earlier in the pipeline.",{"locale":39,"value":1976},"Une éligibilité, classification, hiérarchisation, ou un oui\u002Fnon qu'un autre système a déjà décidé sur une personne. L'IA reçoit cette décision antérieure et l'utilise en entrée. Exemples : un score de crédit issu d'un autre modèle, un drapeau d'accès autorisé venant d'amont, une classe de triage attribuée plus tôt dans le pipeline.",[],[],[1980],{"type":1107,"title":1981,"url":1109,"citation":1982},"EU AI Act Article 3(1) — output classes (predictions, content, recommendations, decisions)","Regulation (EU) 2024\u002F1689, Article 3(1).",[1984],{"id":60,"label":1985,"required":15,"kind":65},[1986,1987],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":1990,"category_id":332,"title":1991,"description":1996,"authoring_guidance":2001,"examples":2002,"sources":2003,"symbol_id":2014,"variables":2015,"shape":352,"icon_variants":2020},"input_generated_content",[1992,1994],{"locale":36,"value":1993},"Generated content",{"locale":39,"value":1995},"Contenu généré",[1997,1999],{"locale":36,"value":1998},"Text, images, audio, or video that another AI made. The AI takes in this synthetic content and processes it further. Examples: an LLM-written summary fed into a translator, a generated photo passed to a moderation model, a text-to-speech clip routed to an audio system.",{"locale":39,"value":2000},"Texte, images, audio ou vidéo créés par une autre IA. L'IA reçoit ce contenu synthétique et le traite encore. Exemples : un résumé écrit par un LLM transmis à un traducteur, une photo générée passée à un modèle de modération, un extrait synthèse vocale acheminé vers un système audio.",[],[],[2004,2006,2009],{"type":1107,"title":2005,"url":1109,"citation":1982},"EU AI Act Article 3(1) — output class \"content\"",{"type":1107,"title":2007,"url":1109,"citation":2008},"EU AI Act Article 50 — Synthetic-content disclosure","Regulation (EU) 2024\u002F1689, Article 50.",{"type":2010,"title":2011,"url":2012,"citation":2013},"standard","NIST AI 100-4 — AI Risk Management Framework","https:\u002F\u002Fnvlpubs.nist.gov\u002Fnistpubs\u002Fai\u002FNIST.AI.100-4.pdf","NIST.","generated_content",[2016],{"id":60,"label":2017,"required":15,"kind":65},[2018,2019],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2022,"category_id":332,"title":2023,"description":2028,"authoring_guidance":2033,"examples":2034,"sources":2035,"symbol_id":2036,"variables":2037,"shape":352,"icon_variants":2042},"input_operational_data",[2024,2026],{"locale":36,"value":2025},"Operational data",{"locale":39,"value":2027},"Données opérationnelles",[2029,2031],{"locale":36,"value":2030},"Schedules, routes, budgets, occupancy counts, public records, or other administrative data — not about any one person. The AI takes in data describing how a place or service runs. Examples: school occupancy by hour, trash-collection routes, a transit timetable, a department budget.",{"locale":39,"value":2032},"Horaires, itinéraires, budgets, comptages d'occupation, registres publics ou autres données administratives — qui ne concernent aucune personne en particulier. L'IA reçoit des données décrivant le fonctionnement d'un lieu ou d'un service. Exemples : occupation d'une école par heure, tournées de collecte des ordures, horaires de transports, budget d'un service.",[],[],[],"operational_data",[2038],{"id":60,"label":2039,"required":15,"kind":65},[2040,2041],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2044,"category_id":332,"title":2045,"description":2050,"authoring_guidance":2055,"examples":2056,"sources":2057,"symbol_id":1766,"variables":2060,"shape":352,"icon_variants":2065},"input_physical_action",[2046,2048],{"locale":36,"value":2047},"A physical action",{"locale":39,"value":2049},"Une action physique",[2051,2053],{"locale":36,"value":2052},"A signal that something in the physical world changed — a door opening, a light turning on, an alert sounding. The AI takes in evidence of these changes from upstream actuators or sensors. Examples: a turnstile-unlock event, an HVAC adjustment recorded by a sensor, a public-address alert played upstream.",{"locale":39,"value":2054},"Un signal indiquant qu'un élément du monde physique a changé : une porte qui s'ouvre, une lumière qui s'allume, une alerte qui retentit. L'IA reçoit des indices de ces changements depuis des actionneurs ou capteurs en amont. Exemples : un événement de déverrouillage de tourniquet, un ajustement de CVC enregistré par un capteur, une alerte de sonorisation diffusée en amont.",[],[],[2058],{"type":1107,"title":2059,"url":1109,"citation":1982},"EU AI Act Article 3(1) — outputs that \"influence physical or virtual environments\"",[2061],{"id":60,"label":2062,"required":15,"kind":65},[2063,2064],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2067,"category_id":332,"title":2068,"description":2073,"authoring_guidance":2078,"examples":2079,"sources":2080,"symbol_id":2082,"variables":2083,"shape":352,"icon_variants":2088},"input_recommendation",[2069,2071],{"locale":36,"value":2070},"A recommendation or prediction",{"locale":39,"value":2072},"Une recommandation ou prédiction",[2074,2076],{"locale":36,"value":2075},"A suggestion, forecast, risk score, or ranking produced earlier by another system. The AI takes in this advisory output and uses it. Distinct from a binding decision because it advises rather than determines. Examples: a forecasted demand curve, a risk score from a prior model, a recommended route from a navigation service.",{"locale":39,"value":2077},"Une suggestion, prévision, score de risque ou classement produit en amont par un autre système. L'IA reçoit cette sortie consultative et l'utilise. Distincte d'une décision contraignante parce qu'elle conseille sans trancher. Exemples : une courbe de demande prévue, un score de risque issu d'un modèle antérieur, un itinéraire recommandé par un service de navigation.",[],[],[2081],{"type":1107,"title":1981,"url":1109,"citation":1982},"dm_priority-ranking",[2084],{"id":60,"label":2085,"required":15,"kind":65},[2086,2087],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2090,"category_id":332,"title":2091,"description":2096,"authoring_guidance":2101,"examples":2102,"sources":2103,"symbol_id":2113,"variables":2114,"shape":352,"icon_variants":2119},"input_sensitive_personal",[2092,2094],{"locale":36,"value":2093},"Sensitive personal data",{"locale":39,"value":2095},"Données personnelles sensibles",[2097,2099],{"locale":36,"value":2098},"Health, finances, beliefs, sexuality, immigration status, or other personal information that carries legal and social risk. The AI takes in this kind of protected data. Examples: insurance eligibility at a clinic kiosk, a benefits-application status, a self-declared pronoun.",{"locale":39,"value":2100},"Santé, finances, convictions, sexualité, situation migratoire ou autres informations personnelles porteuses de risque légal et social. L'IA reçoit ce type de données protégées. Exemples : éligibilité à une assurance sur une borne de clinique, état d'une demande de prestation, pronom auto-déclaré.",[],[],[2104,2108],{"type":1107,"title":2105,"url":2106,"citation":2107},"GDPR Article 9 — Special categories of personal data","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2016\u002F679\u002Foj","Regulation (EU) 2016\u002F679, Article 9.",{"type":2109,"title":2110,"url":2111,"citation":2112},"other","Apple App Store privacy labels — Sensitive Info \u002F Health & Fitness \u002F Financial Info","https:\u002F\u002Fdeveloper.apple.com\u002Fapp-store\u002Fapp-privacy-details\u002F","Apple.","sensitive_personal",[2115],{"id":60,"label":2116,"required":15,"kind":65},[2117,2118],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2121,"category_id":67,"title":2122,"description":2126,"authoring_guidance":2131,"examples":2132,"sources":2133,"symbol_id":2121,"variables":2134,"shape":87,"icon_variants":2143},"institution",[2123,2125],{"locale":36,"value":2124},"Institution",{"locale":39,"value":2124},[2127,2129],{"locale":36,"value":2128},"The entity that is responsible and accountable for this data collection activity",{"locale":39,"value":2130},"L'entité qui est responsable et redevable de cette activité de collecte de données",[],[],[],[2135,2139],{"id":90,"label":2136,"required":15,"kind":65},[2137,2138],{"locale":36,"value":93},{"locale":39,"value":95},{"id":97,"label":2140,"required":15,"kind":65},[2141,2142],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,115,2144,128,2145],"vendor.dark","deployer.dark",{"id":2147,"category_id":500,"title":2148,"description":2153,"authoring_guidance":2158,"examples":2159,"sources":2160,"symbol_id":2161,"variables":2162,"shape":352,"icon_variants":2167},"language_models",[2149,2151],{"locale":36,"value":2150},"Language Models",{"locale":39,"value":2152},"Modèles de langage",[2154,2156],{"locale":36,"value":2155},"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.",{"locale":39,"value":2157},"Systèmes d'IA qui lisent, écrivent, résument, traduisent ou tiennent une conversation en langage humain. Cela inclut les grands modèles de langage (LLM), les chatbots et les systèmes de génération de texte. Ils fonctionnent en prédisant les jetons les plus probables à partir de l'entrée et du contexte antérieur.",[],[],[],"processing_llm",[2163],{"id":60,"label":2164,"required":54,"kind":65},[2165,2166],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2169,"category_id":526,"title":2170,"description":2175,"authoring_guidance":2180,"examples":2181,"sources":2182,"symbol_id":2169,"variables":2183,"shape":87,"icon_variants":2188},"logistics",[2171,2173],{"locale":36,"value":2172},"Logistics",{"locale":39,"value":2174},"Logistique",[2176,2178],{"locale":36,"value":2177},"Supports the movements of goods or materials.",{"locale":39,"value":2179},"Favorise la circulation des marchandises ou des matériaux.",[],[],[],[2184],{"id":60,"label":2185,"required":54,"kind":65},[2186,2187],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2190,"category_id":526,"title":2191,"description":2196,"authoring_guidance":2201,"examples":2202,"sources":2203,"symbol_id":2190,"variables":2210,"shape":87,"icon_variants":2215},"marketing_personalization",[2192,2194],{"locale":36,"value":2193},"Marketing & Personalization",{"locale":39,"value":2195},"Marketing et personnalisation",[2197,2199],{"locale":36,"value":2198},"Targets advertising, personalizes recommendations, or profiles audiences for marketing — for example, in-store loyalty offers, personalized signage, behavioural ad targeting.",{"locale":39,"value":2200},"Cible la publicité, personnalise les recommandations ou profile les audiences à des fins marketing — par exemple, offres de fidélité en magasin, signalétique personnalisée, ciblage publicitaire comportemental.",[],[],[2204,2207],{"type":1107,"title":2205,"url":2106,"citation":2206},"GDPR Article 22 — Automated individual decision-making, including profiling","Regulation (EU) 2016\u002F679, Article 22.",{"type":1107,"title":2208,"url":1313,"citation":2209},"EU Digital Services Act Articles 26 and 39 — Online platform advertising transparency","Regulation (EU) 2022\u002F2065, Articles 26 and 39.",[2211],{"id":60,"label":2212,"required":54,"kind":65},[2213,2214],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2217,"category_id":306,"title":2218,"description":2222,"authoring_guidance":2227,"examples":2228,"sources":2229,"symbol_id":2230,"variables":2231,"shape":87,"icon_variants":2236},"microphone",[2219,2221],{"locale":36,"value":2220},"Microphone",{"locale":39,"value":2220},[2223,2225],{"locale":36,"value":2224},"Captures sound — speech, ambient noise, or specific audio events like breaking glass or gunshots. Found in smart speakers, kiosks, intercoms, and acoustic monitoring installations. The capture device itself; speech recognition and other analysis appear under Algorithm or Model.",{"locale":39,"value":2226},"Capte le son — la parole, le bruit ambiant ou des événements sonores précis comme un bris de verre. Présent dans les enceintes connectées, les bornes, les interphones et les installations de surveillance acoustique. Le dispositif de capture lui-même ; la reconnaissance vocale et les autres analyses figurent sous Algorithme ou modèle.",[],[],[],"audio",[2232],{"id":60,"label":2233,"required":54,"kind":65},[2234,2235],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2238,"category_id":411,"title":2239,"description":2244,"authoring_guidance":2249,"examples":2250,"sources":2251,"symbol_id":2252,"variables":2253,"shape":87,"icon_variants":2258},"mobile_notification",[2240,2242],{"locale":36,"value":2241},"A mobile notification",{"locale":39,"value":2243},"Une notification mobile",[2245,2247],{"locale":36,"value":2246},"The output reaches you on your own device — a push notification, text message, email, or in-app alert. The system finds you rather than waiting for you to look; whether you can turn it off is an Access and Rights question.",{"locale":39,"value":2248},"Le résultat vous parvient sur votre propre appareil — notification push, SMS, courriel ou alerte dans l'appli. Le système vient vous trouver au lieu d'attendre que vous regardiez ; savoir si vous pouvez le désactiver relève de l'accès et des droits.",[],[],[],"personal_device",[2254],{"id":60,"label":2255,"required":54,"kind":65},[2256,2257],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2260,"category_id":526,"title":2261,"description":2266,"authoring_guidance":2271,"examples":2272,"sources":2273,"symbol_id":2260,"variables":2274,"shape":87,"icon_variants":2279},"mobility",[2262,2264],{"locale":36,"value":2263},"Mobility",{"locale":39,"value":2265},"Mobilité",[2267,2269],{"locale":36,"value":2268},"Supports how people and materials move around.",{"locale":39,"value":2270},"Contribue à la maniére dont les personnes et les matériaux se déplacent.",[],[],[],[2275],{"id":60,"label":2276,"required":54,"kind":65},[2277,2278],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2281,"category_id":140,"title":2282,"description":2287,"authoring_guidance":2292,"examples":2293,"sources":2294,"symbol_id":2295,"variables":2296,"shape":87,"icon_variants":2301},"moves",[2283,2285],{"locale":36,"value":2284},"Moves",{"locale":39,"value":2286},"Actionne",[2288,2290],{"locale":36,"value":2289},"Moves — acts on the physical world. The system drives motors, valves, signals, or other actuators and changes something around you. Examples: steering a robot, changing a traffic-signal phase, opening a gate, adjusting a building's ventilation, releasing a parking barrier.",{"locale":39,"value":2291},"Actionne — agit sur le monde physique. Le système commande des moteurs, des vannes, des signaux ou d'autres actionneurs et change quelque chose autour de vous. Exemples : diriger un robot, changer la phase d'un feu de circulation, ouvrir une barrière, ajuster la ventilation d'un bâtiment, libérer une barrière de stationnement.",[],[],[],"mode_physical",[2297],{"id":60,"label":2298,"required":54,"kind":65},[2299,2300],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,188,731,201,732,214,733],{"id":2303,"category_id":306,"title":2304,"description":2309,"authoring_guidance":2314,"examples":2315,"sources":2316,"symbol_id":1289,"variables":2317,"shape":87,"icon_variants":2322},"network_connection",[2305,2307],{"locale":36,"value":2306},"Network Connection",{"locale":39,"value":2308},"Connexion réseau",[2310,2312],{"locale":36,"value":2311},"Connects this system to a network — a cellular modem, a WiFi access point, or a wired link. It moves data rather than capturing it, but connection logs can still reveal which devices were nearby or connected, and an access point that offers public WiFi is also a service people join.",{"locale":39,"value":2313},"Relie ce système à un réseau — modem cellulaire, point d'accès WiFi ou liaison filaire. Il transporte les données plutôt qu'il ne les capte, mais les journaux de connexion peuvent révéler quels appareils étaient à proximité ou connectés, et un point d'accès offrant du WiFi public est aussi un service auquel les gens se joignent.",[],[],[],[2318],{"id":60,"label":2319,"required":54,"kind":65},[2320,2321],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2324,"category_id":552,"title":2325,"description":2330,"authoring_guidance":2335,"examples":2336,"sources":2337,"symbol_id":2324,"variables":2338,"shape":57,"icon_variants":2347},"no_data_retained",[2326,2328],{"locale":36,"value":2327},"No data retained",{"locale":39,"value":2329},"Aucune donnée conservée",[2331,2333],{"locale":36,"value":2332},"No data is kept or stored",{"locale":39,"value":2334},"Aucune donnée n'est conservée ou stockée",[],[],[],[2339,2343],{"id":60,"label":2340,"required":54,"kind":65},[2341,2342],{"locale":36,"value":63},{"locale":39,"value":63},{"id":578,"label":2344,"required":15,"kind":65},[2345,2346],{"locale":36,"value":581},{"locale":39,"value":583},[707,708],{"id":2349,"category_id":33,"title":2350,"description":2355,"authoring_guidance":2360,"examples":2361,"sources":2362,"symbol_id":2363,"variables":2364,"shape":57,"icon_variants":2369},"not_available_to_me",[2351,2353],{"locale":36,"value":2352},"Not available to me",{"locale":39,"value":2354},"Non disponible pour moi",[2356,2358],{"locale":36,"value":2357},"Not available to me or other individuals. As an individual, there isn't a way for you to access this data.",{"locale":39,"value":2359},"Non disponible pour moi ou d'autres individus. En tant qu'individu, il n'y a aucun moyen pour vous d'accéder à ces données.",[],[],[],"not_available",[2365],{"id":60,"label":2366,"required":54,"kind":65},[2367,2368],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2371,"category_id":33,"title":2372,"description":2377,"authoring_guidance":2382,"examples":2383,"sources":2384,"symbol_id":2363,"variables":2385,"shape":57,"icon_variants":2390},"not_available_to_the_accountable_organization",[2373,2375],{"locale":36,"value":2374},"Not available to the accountable organization",{"locale":39,"value":2376},"Non disponible pour l'organisation responsable",[2378,2380],{"locale":36,"value":2379},"Data is not available to the accountable organization",{"locale":39,"value":2381},"Les données ne sont pas disponibles pour l'organisation responsable",[],[],[],[2386],{"id":60,"label":2387,"required":54,"kind":65},[2388,2389],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2392,"category_id":33,"title":2393,"description":2398,"authoring_guidance":2403,"examples":2404,"sources":2405,"symbol_id":2363,"variables":2406,"shape":57,"icon_variants":2411},"not_available_to_vendor",[2394,2396],{"locale":36,"value":2395},"Not available to vendor",{"locale":39,"value":2397},"Non disponible pour le vendeur",[2399,2401],{"locale":36,"value":2400},"Data is not available to the data collection or technology provider.",{"locale":39,"value":2402},"Les données ne sont pas disponibles pour le fournisseur de la collecte de données ou de la technologie.",[],[],[],[2407],{"id":60,"label":2408,"required":54,"kind":65},[2409,2410],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2413,"category_id":500,"title":2414,"description":2419,"authoring_guidance":2424,"examples":2425,"sources":2426,"symbol_id":2427,"variables":2428,"shape":352,"icon_variants":2433},"optimization",[2415,2417],{"locale":36,"value":2416},"Optimization",{"locale":39,"value":2418},"Optimisation",[2420,2422],{"locale":36,"value":2421},"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.",{"locale":39,"value":2423},"Systèmes d'IA qui recherchent la meilleure affectation, le meilleur itinéraire, le meilleur horaire ou la meilleure répartition sous contraintes. Inclut le routage des véhicules, la synchronisation des feux, la planification énergétique et CVC, la planification du personnel et l'allocation de ressources. Fonctionne en explorant des possibilités pour maximiser ou minimiser un objectif comme le coût, le temps ou les émissions.",[],[],[],"processing_optimization-algorithm",[2429],{"id":60,"label":2430,"required":54,"kind":65},[2431,2432],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2435,"category_id":67,"title":2436,"description":2441,"authoring_guidance":2444,"examples":2445,"sources":2446,"symbol_id":2435,"variables":2447,"shape":87,"icon_variants":2456},"organization",[2437,2439],{"locale":36,"value":2438},"Organization",{"locale":39,"value":2440},"Organisation",[2442,2443],{"locale":36,"value":2128},{"locale":39,"value":2130},[],[],[],[2448,2452],{"id":90,"label":2449,"required":15,"kind":65},[2450,2451],{"locale":36,"value":93},{"locale":39,"value":95},{"id":97,"label":2453,"required":15,"kind":65},[2454,2455],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,115,2144,128,2145],{"id":2458,"category_id":437,"title":2459,"description":2462,"authoring_guidance":2467,"examples":2468,"sources":2469,"symbol_id":1890,"variables":2470,"shape":352,"icon_variants":2475},"output_about_a_measurement",[2460,2461],{"locale":36,"value":1879},{"locale":39,"value":1881},[2463,2465],{"locale":36,"value":2464},"The AI produces numeric measurements over time — sensor outputs, derived quality scores, forecasted values. Examples: an hourly air-quality score for a plaza, a predicted ridership curve for tomorrow, an aggregated noise-level reading published to a public dashboard.",{"locale":39,"value":2466},"L'IA produit des mesures numériques au fil du temps : sorties de capteurs, indices de qualité dérivés, valeurs prévues. Exemples : un indice de qualité de l'air horaire pour une place, une courbe d'affluence prévue pour demain, une lecture de niveau sonore agrégée publiée sur un tableau de bord public.",[],[],[],[2471],{"id":60,"label":2472,"required":15,"kind":65},[2473,2474],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2477,"category_id":437,"title":2478,"description":2481,"authoring_guidance":2486,"examples":2487,"sources":2488,"symbol_id":1915,"variables":2489,"shape":352,"icon_variants":2494},"output_about_a_place",[2479,2480],{"locale":36,"value":1904},{"locale":39,"value":1906},[2482,2484],{"locale":36,"value":2483},"The AI produces location, route, region, or floor-plan output. Examples: a wayfinding route shown on a kiosk, a heatmap of foot-traffic density, a geofence boundary published to downstream systems.",{"locale":39,"value":2485},"L'IA produit une sortie de localisation, d'itinéraire, de zone ou de plan. Exemples : un itinéraire affiché sur une borne, une carte de chaleur de la densité piétonne, les limites d'une géoclôture publiées à des systèmes en aval.",[],[],[],[2490],{"id":60,"label":2491,"required":15,"kind":65},[2492,2493],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2496,"category_id":437,"title":2497,"description":2500,"authoring_guidance":2505,"examples":2506,"sources":2507,"symbol_id":1937,"variables":2508,"shape":352,"icon_variants":2513},"output_about_behaviour",[2498,2499],{"locale":36,"value":1926},{"locale":39,"value":1928},[2501,2503],{"locale":36,"value":2502},"The AI produces records of what people did — paths walked, items selected, dwell times, interaction patterns. Examples: a weekly report of most-visited destinations, a session log of touchscreen interactions, an inferred route someone took through a venue.",{"locale":39,"value":2504},"L'IA produit des registres de ce que les personnes ont fait : déplacements, articles choisis, temps de présence, schémas d'interaction. Exemples : un rapport hebdomadaire des destinations les plus visitées, un journal de session des interactions tactiles, un itinéraire inféré qu'une personne a emprunté dans un lieu.",[],[],[],[2509],{"id":60,"label":2510,"required":15,"kind":65},[2511,2512],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2515,"category_id":437,"title":2516,"description":2519,"authoring_guidance":2524,"examples":2525,"sources":2526,"symbol_id":1846,"variables":2527,"shape":352,"icon_variants":2532},"output_biometric",[2517,2518],{"locale":36,"value":1948},{"locale":39,"value":1950},[2520,2522],{"locale":36,"value":2521},"The AI produces output containing biological signals from a person's body — face templates, voice embeddings, gait vectors, gesture sequences. Examples: an enrolled face template stored downstream, a voice embedding for later matching, a gait signature exported to another system.",{"locale":39,"value":2523},"L'IA produit une sortie contenant des signaux biologiques du corps d'une personne : modèles faciaux, empreintes vocales, vecteurs de démarche, séquences de gestes. Exemples : un modèle facial enrôlé stocké en aval, une empreinte vocale pour appariement ultérieur, une signature de démarche exportée vers un autre système.",[],[],[],[2528],{"id":60,"label":2529,"required":15,"kind":65},[2530,2531],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2534,"category_id":437,"title":2535,"description":2538,"authoring_guidance":2543,"examples":2544,"sources":2545,"symbol_id":1384,"variables":2551,"shape":352,"icon_variants":2556},"output_decision",[2536,2537],{"locale":36,"value":1969},{"locale":39,"value":1971},[2539,2541],{"locale":36,"value":2540},"The AI produces a binding determination about a person — eligibility, classification, ranking, or yes\u002Fno. Examples: an access-control system deciding to open a gate, an automated benefits eligibility result, an automated screening that rules someone out.",{"locale":39,"value":2542},"L'IA produit une détermination contraignante sur une personne : éligibilité, classification, hiérarchisation, ou oui\u002Fnon. Exemples : un système de contrôle d'accès qui décide d'ouvrir un portique, un résultat d'éligibilité automatisé à des prestations, un filtrage automatisé qui élimine quelqu'un.",[],[],[2546,2548],{"type":1107,"title":2547,"url":1109,"citation":1982},"EU AI Act Article 3(1) — output class \"decisions\"",{"type":1107,"title":2549,"url":1109,"citation":2550},"EU AI Act Annex III — High-risk decision domains","Regulation (EU) 2024\u002F1689, Annex III — biometric ID, employment, essential services, justice, migration, education.",[2552],{"id":60,"label":2553,"required":15,"kind":65},[2554,2555],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2558,"category_id":437,"title":2559,"description":2562,"authoring_guidance":2567,"examples":2568,"sources":2569,"symbol_id":2014,"variables":2577,"shape":352,"icon_variants":2582},"output_generated_content",[2560,2561],{"locale":36,"value":1993},{"locale":39,"value":1995},[2563,2565],{"locale":36,"value":2564},"The AI produces new content — text, images, audio, or video that did not exist before. Examples: an LLM-written service advisory shown on a sign, a synthesized voice announcement played over a public-address system, a generated illustration on a digital kiosk.",{"locale":39,"value":2566},"L'IA produit du contenu nouveau : du texte, des images, de l'audio ou de la vidéo qui n'existaient pas auparavant. Exemples : un avis de service rédigé par un LLM affiché sur un panneau, une annonce vocale synthétisée diffusée par un système de sonorisation, une illustration générée sur une borne numérique.",[],[],[2570,2571,2572,2573],{"type":1107,"title":2005,"url":1109,"citation":1982},{"type":1107,"title":2007,"url":1109,"citation":2008},{"type":2010,"title":2011,"url":2012,"citation":2013},{"type":2010,"title":2574,"url":2575,"citation":2576},"C2PA — Coalition for Content Provenance and Authenticity","https:\u002F\u002Fc2pa.org","C2PA.",[2578],{"id":60,"label":2579,"required":15,"kind":65},[2580,2581],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2584,"category_id":437,"title":2585,"description":2588,"authoring_guidance":2593,"examples":2594,"sources":2595,"symbol_id":2036,"variables":2596,"shape":352,"icon_variants":2601},"output_operational_data",[2586,2587],{"locale":36,"value":2025},{"locale":39,"value":2027},[2589,2591],{"locale":36,"value":2590},"The AI produces administrative output — schedules, routes, occupancy estimates, budget allocations, or other records about how a place or service runs. Not about any one person. Examples: an optimized trash-collection route, a school occupancy projection, a recommended budget allocation for next quarter.",{"locale":39,"value":2592},"L'IA produit une sortie administrative : horaires, itinéraires, estimations d'occupation, allocations budgétaires ou autres registres sur le fonctionnement d'un lieu ou d'un service. Aucune personne en particulier n'est concernée. Exemples : une tournée de collecte des ordures optimisée, une projection d'occupation scolaire, une allocation budgétaire recommandée pour le trimestre suivant.",[],[],[],[2597],{"id":60,"label":2598,"required":15,"kind":65},[2599,2600],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2603,"category_id":437,"title":2604,"description":2607,"authoring_guidance":2612,"examples":2613,"sources":2614,"symbol_id":1766,"variables":2617,"shape":352,"icon_variants":2622},"output_physical_action",[2605,2606],{"locale":36,"value":2047},{"locale":39,"value":2049},[2608,2610],{"locale":36,"value":2609},"The AI triggers something in the physical world — a door unlocking, a light turning on, an alert sounding, signage changing, HVAC adjusting. Examples: a turnstile that opens on facial match, a public-address alert played automatically, an HVAC adjustment commanded by a building model.",{"locale":39,"value":2611},"L'IA déclenche quelque chose dans le monde physique : une porte qui se déverrouille, une lumière qui s'allume, une alerte qui retentit, une signalétique qui change, un système CVC qui s'ajuste. Exemples : un tourniquet qui s'ouvre sur reconnaissance faciale, une alerte de sonorisation diffusée automatiquement, un ajustement CVC commandé par un modèle de bâtiment.",[],[],[2615],{"type":1107,"title":2059,"url":1109,"citation":2616},"Regulation (EU) 2024\u002F1689, Article 3(1). Pairs with the agentic_mode element in this schema.",[2618],{"id":60,"label":2619,"required":15,"kind":65},[2620,2621],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2624,"category_id":437,"title":2625,"description":2628,"authoring_guidance":2633,"examples":2634,"sources":2635,"symbol_id":2082,"variables":2638,"shape":352,"icon_variants":2643},"output_recommendation",[2626,2627],{"locale":36,"value":2070},{"locale":39,"value":2072},[2629,2631],{"locale":36,"value":2630},"The AI produces an advisory output — a suggestion, forecast, risk score, or ranking. Distinct from a binding decision because it advises rather than determines. Examples: a signage system suggesting an alternate route based on predicted crowding, a forecasted demand curve for tomorrow, a recommended next destination on a kiosk.",{"locale":39,"value":2632},"L'IA produit une sortie consultative : une suggestion, prévision, score de risque ou classement. Distincte d'une décision contraignante parce qu'elle conseille sans trancher. Exemples : un système de signalisation proposant un itinéraire alternatif d'après l'affluence prévue, une courbe de demande prévue pour demain, une destination suggérée sur une borne.",[],[],[2636],{"type":1107,"title":2637,"url":1109,"citation":1982},"EU AI Act Article 3(1) — output classes \"predictions, recommendations\"",[2639],{"id":60,"label":2640,"required":15,"kind":65},[2641,2642],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2645,"category_id":437,"title":2646,"description":2649,"authoring_guidance":2654,"examples":2655,"sources":2656,"symbol_id":2113,"variables":2659,"shape":352,"icon_variants":2664},"output_sensitive_personal",[2647,2648],{"locale":36,"value":2093},{"locale":39,"value":2095},[2650,2652],{"locale":36,"value":2651},"The AI produces output about health, finances, beliefs, sexuality, immigration status, or other categories that carry legal and social risk. Examples: a triage priority assigned at a clinic, an eligibility result sent to a benefits portal, an inferred protected attribute exported downstream.",{"locale":39,"value":2653},"L'IA produit une sortie portant sur la santé, les finances, les convictions, la sexualité, la situation migratoire ou d'autres catégories porteuses de risque légal et social. Exemples : une priorité de triage attribuée en clinique, un résultat d'éligibilité envoyé à un portail de prestations, un attribut protégé inféré et exporté.",[],[],[2657,2658],{"type":1107,"title":2105,"url":2106,"citation":2107},{"type":2109,"title":2110,"url":2111,"citation":2112},[2660],{"id":60,"label":2661,"required":15,"kind":65},[2662,2663],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,372,1897,385,1898,398,1899],{"id":2666,"category_id":227,"title":2667,"description":2672,"authoring_guidance":2677,"examples":2678,"sources":2679,"symbol_id":2666,"variables":2680,"shape":87,"icon_variants":2689},"people",[2668,2670],{"locale":36,"value":2669},"People",{"locale":39,"value":2671},"Personnes",[2673,2675],{"locale":36,"value":2674},"The people this system is used on, or whose lives its decisions affect.",{"locale":39,"value":2676},"Les personnes sur lesquelles ce système est utilisé, ou dont ses décisions affectent la vie.",[],[],[],[2681,2685],{"id":90,"label":2682,"required":15,"kind":65},[2683,2684],{"locale":36,"value":93},{"locale":39,"value":95},{"id":97,"label":2686,"required":15,"kind":65},[2687,2688],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,270,2690,282,2691,294,2692],"subject.dark","bystander.dark","community.dark",{"id":2694,"category_id":411,"title":2695,"description":2700,"authoring_guidance":2705,"examples":2706,"sources":2707,"symbol_id":2708,"variables":2709,"shape":87,"icon_variants":2714},"person_acting_on_it",[2696,2698],{"locale":36,"value":2697},"A person acting on it",{"locale":39,"value":2699},"Une personne qui agit sur cette base",[2701,2703],{"locale":36,"value":2702},"The output reaches you through a human — an officer who stops you after an alert, a case worker who follows a recommendation, a doctor reading a risk score. You meet a person, but a system shaped what they do; your right to know and contest that still applies.",{"locale":39,"value":2704},"Le résultat vous parvient par l'intermédiaire d'un humain — un agent qui vous arrête après une alerte, un travailleur social qui suit une recommandation, un médecin qui lit un score de risque. Vous rencontrez une personne, mais un système a orienté son action ; votre droit de le savoir et de le contester s'applique toujours.",[],[],[],"agency_interaction",[2710],{"id":60,"label":2711,"required":54,"kind":65},[2712,2713],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2716,"category_id":614,"title":2717,"description":2722,"authoring_guidance":2727,"examples":2728,"sources":2729,"symbol_id":2730,"variables":2731,"shape":605,"icon_variants":2740},"physical_harm",[2718,2720],{"locale":36,"value":2719},"Physical harm",{"locale":39,"value":2721},"Préjudice physique",[2723,2725],{"locale":36,"value":2724},"The risk that the AI system's outputs lead to physical injury to individuals or damage to property. This includes risks from autonomous vehicles, robotic actuation, faulty navigation guidance, or critical-infrastructure errors that put bodies or property in harm's way. Mitigations may include rigorous safety testing, fail-safe defaults, geofencing of hazardous behavior, and human oversight of high-stakes physical actions.",{"locale":39,"value":2726},"Le risque que les résultats du système d'IA entraînent des blessures physiques pour des personnes ou des dommages matériels. Cela inclut les risques liés aux véhicules autonomes, à l'actionnement robotique, à des indications de navigation erronées ou à des erreurs d'infrastructures critiques mettant en danger des corps ou des biens. Les mesures d'atténuation peuvent inclure des tests de sécurité rigoureux, des paramètres par défaut à sécurité intégrée, le géorepérage des comportements dangereux et la supervision humaine des actions physiques à enjeux élevés.",[],[],[],"risks_physical",[2732,2736],{"id":641,"label":2733,"required":15,"kind":65},[2734,2735],{"locale":36,"value":644},{"locale":39,"value":646},{"id":648,"label":2737,"required":54,"kind":65},[2738,2739],{"locale":36,"value":651},{"locale":39,"value":653},[707,708],{"id":2742,"category_id":526,"title":2743,"description":2748,"authoring_guidance":2753,"examples":2754,"sources":2755,"symbol_id":2742,"variables":2756,"shape":87,"icon_variants":2761},"planning_decision_making",[2744,2746],{"locale":36,"value":2745},"Planning & Decision-making",{"locale":39,"value":2747},"Planification et prise de décision",[2749,2751],{"locale":36,"value":2750},"Supports forecasting and policy-impact analysis at the population or system level — for example, urban planning, infrastructure planning, or measuring the impact of a policy decision. Distinct from Risk Assessment & Triage, which scores individuals.",{"locale":39,"value":2752},"Permet la prévision et l'analyse d'impact des politiques à l'échelle d'une population ou d'un système — par exemple l'urbanisme, la planification d'infrastructures, ou la mesure de l'impact d'une décision de politique publique. À distinguer de Évaluation des risques et triage, qui note des personnes individuellement.",[],[],[],[2757],{"id":60,"label":2758,"required":54,"kind":65},[2759,2760],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2763,"category_id":614,"title":2764,"description":2769,"authoring_guidance":2774,"examples":2775,"sources":2776,"symbol_id":2777,"variables":2778,"shape":605,"icon_variants":2787},"political_economic_harm",[2765,2767],{"locale":36,"value":2766},"Political & economic harm",{"locale":39,"value":2768},"Préjudice politique et économique",[2770,2772],{"locale":36,"value":2771},"The risk that the AI system manipulates political discourse, interferes with elections, concentrates market power, or damages public institutions. This includes risks of synthetic media targeting voters, opaque ad-targeting, competitive distortion from monopoly access to data and compute, and erosion of institutional trust. Mitigations may include disclosure of synthetic content, antitrust attention to AI markets, audit access for regulators, and political-ad transparency requirements.",{"locale":39,"value":2773},"Le risque que le système d'IA manipule le discours politique, interfère avec les élections, concentre le pouvoir de marché ou porte atteinte aux institutions publiques. Cela inclut les risques liés aux médias synthétiques ciblant les électeurs, au ciblage publicitaire opaque, à la distorsion concurrentielle due à l'accès monopolistique aux données et au calcul, et à l'érosion de la confiance institutionnelle. Les mesures d'atténuation peuvent inclure la divulgation des contenus synthétiques, l'attention antitrust portée aux marchés de l'IA, l'accès d'audit pour les régulateurs et des obligations de transparence pour les publicités politiques.",[],[],[],"risks_political-economic",[2779,2783],{"id":641,"label":2780,"required":15,"kind":65},[2781,2782],{"locale":36,"value":644},{"locale":39,"value":646},{"id":648,"label":2784,"required":54,"kind":65},[2785,2786],{"locale":36,"value":651},{"locale":39,"value":653},[707,708],{"id":2789,"category_id":306,"title":2790,"description":2795,"authoring_guidance":2800,"examples":2801,"sources":2802,"symbol_id":1915,"variables":2803,"shape":87,"icon_variants":2808},"positioning_location",[2791,2793],{"locale":36,"value":2792},"Positioning & Location",{"locale":39,"value":2794},"Positionnement et localisation",[2796,2798],{"locale":36,"value":2797},"Determines where something is — GPS receivers in vehicles or apps, Bluetooth beacons, or indoor positioning systems. Produces location traces, one of the most revealing kinds of personal data when tied to a person or their device.",{"locale":39,"value":2799},"Détermine où se trouve quelque chose — récepteurs GPS dans les véhicules ou les applis, balises Bluetooth ou systèmes de positionnement intérieur. Produit des traces de localisation, l'une des données personnelles les plus révélatrices lorsqu'elle est liée à une personne ou à son appareil.",[],[],[],[2804],{"id":60,"label":2805,"required":54,"kind":65},[2806,2807],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2810,"category_id":140,"title":2811,"description":2816,"authoring_guidance":2821,"examples":2822,"sources":2823,"symbol_id":2824,"variables":2825,"shape":87,"icon_variants":2830},"predicts",[2812,2814],{"locale":36,"value":2813},"Predicts",{"locale":39,"value":2815},"Prédit",[2817,2819],{"locale":36,"value":2818},"Predicts — estimates what is likely: a forecast, a risk score, a probability. It says what may happen; someone or something else still decides what to do about it. Examples: a queue-length forecast, a credit-risk score, a crowding prediction for the next hour. Distinct from Decides, which makes an outcome take effect.",{"locale":39,"value":2820},"Prédit — estime ce qui est probable : une prévision, un score de risque, une probabilité. Il dit ce qui peut arriver ; quelqu'un ou quelque chose d'autre décide encore de la suite. Exemples : une prévision de file d'attente, un score de risque de crédit, une prévision d'affluence pour la prochaine heure. Distinct de Décide, qui fait prendre effet à un résultat.",[],[],[],"mode_analytical",[2826],{"id":60,"label":2827,"required":54,"kind":65},[2828,2829],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,188,731,201,732,214,733],{"id":2832,"category_id":306,"title":2833,"description":2838,"authoring_guidance":2843,"examples":2844,"sources":2845,"symbol_id":2846,"variables":2847,"shape":87,"icon_variants":2852},"presence_motion_sensor",[2834,2836],{"locale":36,"value":2835},"Presence & Motion Sensor",{"locale":39,"value":2837},"Capteur de présence et de mouvement",[2839,2841],{"locale":36,"value":2840},"Detects that someone or something is there, or is moving, without capturing an image — passive infrared, ultrasonic, pressure mats, door counters, seat occupancy sensors. Tells the system that a space is occupied, not who occupies it.",{"locale":39,"value":2842},"Détecte qu'une personne ou une chose est présente, ou en mouvement, sans capter d'image — infrarouge passif, ultrasons, tapis de pression, compteurs de porte, capteurs d'occupation de siège. Indique au système qu'un espace est occupé, pas qui l'occupe.",[],[],[],"motion_detector",[2848],{"id":60,"label":2849,"required":54,"kind":65},[2850,2851],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2854,"category_id":411,"title":2855,"description":2860,"authoring_guidance":2865,"examples":2866,"sources":2867,"symbol_id":912,"variables":2868,"shape":87,"icon_variants":2873},"printed_output",[2856,2858],{"locale":36,"value":2857},"A printed ticket or letter",{"locale":39,"value":2859},"Un billet ou une lettre imprimés",[2861,2863],{"locale":36,"value":2862},"The output arrives on paper — a parking ticket, a queue number, a boarding pass, a decision letter in the mail. The system's work reaches you through a physical document, sometimes days after it ran.",{"locale":39,"value":2864},"Le résultat arrive sur papier — une contravention, un ticket de file d'attente, une carte d'embarquement, une lettre de décision par la poste. Le travail du système vous parvient par un document physique, parfois des jours après son exécution.",[],[],[],[2869],{"id":60,"label":2870,"required":54,"kind":65},[2871,2872],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2875,"category_id":500,"title":2876,"description":2881,"authoring_guidance":2886,"examples":2887,"sources":2888,"symbol_id":2889,"variables":2890,"shape":352,"icon_variants":2895},"privacy_transformation",[2877,2879],{"locale":36,"value":2878},"Privacy-Preserving Transformation",{"locale":39,"value":2880},"Transformation préservant la vie privée",[2882,2884],{"locale":36,"value":2883},"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.",{"locale":39,"value":2885},"Systèmes d'IA dont la fonction principale est de transformer les données d'entrée afin de supprimer, flouter ou remplacer les détails identifiants avant toute utilisation en aval. Inclut le floutage de visages, le masquage de plaques d'immatriculation, la tokenisation, la k-anonymisation, la confidentialité différentielle et la génération de données synthétiques. Sert de barrière entre les données brutes collectées et celles utilisées pour l'analyse ou les décisions.",[],[],[],"processing_privacy-preserving-transformation",[2891],{"id":60,"label":2892,"required":54,"kind":65},[2893,2894],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2897,"category_id":614,"title":2898,"description":2903,"authoring_guidance":2908,"examples":2909,"sources":2910,"symbol_id":2911,"variables":2912,"shape":605,"icon_variants":2921},"psychological_harm",[2899,2901],{"locale":36,"value":2900},"Psychological harm",{"locale":39,"value":2902},"Préjudice psychologique",[2904,2906],{"locale":36,"value":2905},"The risk that the AI system causes emotional or mental-health impairment, directly or indirectly. This includes risks from addictive feedback loops, distress caused by surveillance, harassment via generated content, and anxiety from automated denials. Mitigations may include content warnings, well-being safeguards, age-appropriate design, accessible support channels, and rate limits on engagement-maximizing behavior.",{"locale":39,"value":2907},"Le risque que le système d'IA cause une atteinte émotionnelle ou à la santé mentale, directement ou indirectement. Cela inclut les risques liés à des boucles de rétroaction addictives, à la détresse causée par la surveillance, au harcèlement via du contenu généré et à l'anxiété liée aux refus automatisés. Les mesures d'atténuation peuvent inclure des avertissements de contenu, des garde-fous pour le bien-être, une conception adaptée à l'âge, des canaux d'assistance accessibles et des limites sur les comportements qui maximisent l'engagement.",[],[],[],"risks_psychological",[2913,2917],{"id":641,"label":2914,"required":15,"kind":65},[2915,2916],{"locale":36,"value":644},{"locale":39,"value":646},{"id":648,"label":2918,"required":54,"kind":65},[2919,2920],{"locale":36,"value":651},{"locale":39,"value":653},[707,708],{"id":2923,"category_id":500,"title":2924,"description":2929,"authoring_guidance":2934,"examples":2935,"sources":2936,"symbol_id":2937,"variables":2938,"shape":352,"icon_variants":2943},"recommendation_ranking",[2925,2927],{"locale":36,"value":2926},"Recommendation & Ranking",{"locale":39,"value":2928},"Recommandation et classement",[2930,2932],{"locale":36,"value":2931},"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.",{"locale":39,"value":2933},"Systèmes d'IA qui suggèrent ou classent des éléments pour une personne — services, annonces, actualités, options d'orientation — selon ses préférences, son comportement ou sa similarité avec d'autres. Inclut le filtrage collaboratif, les recommandateurs basés sur le contenu et le classement appris. Personnalise ce que chaque personne voit dans un même catalogue.",[],[],[],"processing_recommendation-systems",[2939],{"id":60,"label":2940,"required":54,"kind":65},[2941,2942],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":2945,"category_id":140,"title":2946,"description":2951,"authoring_guidance":2956,"examples":2957,"sources":2958,"symbol_id":2082,"variables":2959,"shape":87,"icon_variants":2964},"recommends",[2947,2949],{"locale":36,"value":2948},"Recommends",{"locale":39,"value":2950},"Recommande",[2952,2954],{"locale":36,"value":2953},"Recommends — suggests options for a person to choose from: a ranking, a shortlist, a suggested route or treatment. Nothing takes effect until someone accepts the suggestion. Examples: a triage ranking for a clinician, an alternate route offered to a driver, products shown first. Distinct from Decides, where the outcome takes effect on its own.",{"locale":39,"value":2955},"Recommande — propose des options parmi lesquelles une personne choisit : un classement, une liste restreinte, un itinéraire ou un traitement suggéré. Rien ne prend effet tant que quelqu'un n'accepte pas la suggestion. Exemples : un classement de triage pour un clinicien, un itinéraire alternatif proposé à un conducteur, des produits affichés en premier. Distinct de Décide, où le résultat prend effet de lui-même.",[],[],[],[2960],{"id":60,"label":2961,"required":54,"kind":65},[2962,2963],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,188,731,201,732,214,733],{"id":2966,"category_id":614,"title":2967,"description":2972,"authoring_guidance":2977,"examples":2978,"sources":2979,"symbol_id":2980,"variables":2981,"shape":605,"icon_variants":2990},"reputational_harm",[2968,2970],{"locale":36,"value":2969},"Reputational harm",{"locale":39,"value":2971},"Atteinte à la réputation",[2973,2975],{"locale":36,"value":2974},"The risk that the AI system damages the reputation of individuals, groups, or organizations through misidentification, false categorization, or stigmatizing labels. This includes risks of inaccurate face recognition, defamatory generated content, and unfair public scoring that follow people across contexts. Mitigations may include accuracy thresholds before public-facing labels are applied, human review of high-impact identifications, takedown procedures, and clear rights to correction.",{"locale":39,"value":2976},"Le risque que le système d'IA porte atteinte à la réputation de personnes, de groupes ou d'organisations par une identification erronée, une catégorisation fausse ou des étiquettes stigmatisantes. Cela inclut les risques de reconnaissance faciale inexacte, de contenu diffamatoire généré et de notation publique injuste qui suit les personnes dans différents contextes. Les mesures d'atténuation peuvent inclure des seuils de précision avant l'application d'étiquettes publiques, un examen humain des identifications à fort impact, des procédures de retrait et des droits clairs de rectification.",[],[],[],"risks_reputational",[2982,2986],{"id":641,"label":2983,"required":15,"kind":65},[2984,2985],{"locale":36,"value":644},{"locale":39,"value":646},{"id":648,"label":2987,"required":54,"kind":65},[2988,2989],{"locale":36,"value":651},{"locale":39,"value":653},[707,708],{"id":2992,"category_id":526,"title":2993,"description":2998,"authoring_guidance":3003,"examples":3004,"sources":3005,"symbol_id":2992,"variables":3006,"shape":87,"icon_variants":3011},"research_development",[2994,2996],{"locale":36,"value":2995},"Research & Development",{"locale":39,"value":2997},"Recherche et développement",[2999,3001],{"locale":36,"value":3000},"Supports a deployed research instrument — a system that studies a place, population, or environment as part of a research program. Distinct from production AI that delivers a service to the public.",{"locale":39,"value":3002},"Permet le déploiement d'un instrument de recherche — un système qui étudie un lieu, une population ou un environnement dans le cadre d'un programme de recherche. À distinguer de l'IA de production qui rend un service au public.",[],[],[],[3007],{"id":60,"label":3008,"required":54,"kind":65},[3009,3010],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3013,"category_id":585,"title":3014,"description":3019,"authoring_guidance":3024,"examples":3025,"sources":3026,"symbol_id":3027,"variables":3028,"shape":605,"icon_variants":3033},"right_access",[3015,3017],{"locale":36,"value":3016},"Right to Access",{"locale":39,"value":3018},"Droit d'accès",[3020,3022],{"locale":36,"value":3021},"The right to request and receive information about what personal data an AI system has collected about you, how this data is being used, and what decisions have been made using this information. This includes the right to obtain a copy of your data in a readable format.",{"locale":39,"value":3023},"Le droit de demander et de recevoir des informations sur les données à caractère personnel qu'un système d'IA a collectées à votre sujet, sur la manière dont ces données sont utilisées et sur les décisions qui ont été prises sur la base de ces informations. Cela inclut le droit d'obtenir une copie de vos données dans un format lisible.",[],[],[],"rights_access",[3029],{"id":585,"label":3030,"required":15,"kind":65},[3031,3032],{"locale":36,"value":610},{"locale":39,"value":612},[707,708],{"id":3035,"category_id":585,"title":3036,"description":3041,"authoring_guidance":3046,"examples":3047,"sources":3048,"symbol_id":3049,"variables":3050,"shape":605,"icon_variants":3055},"right_algorithmic_transparency",[3037,3039],{"locale":36,"value":3038},"Right to Algorithmic Transparency",{"locale":39,"value":3040},"Droit à la transparence algorithmique",[3042,3044],{"locale":36,"value":3043},"The right to be informed in plain language about how an AI system works in general — the logic involved, the significance of the processing, and the likely consequences for the people it affects. This is the right to understand the system itself; the right to an explanation of a specific decision made about you is a separate right.",{"locale":39,"value":3045},"Le droit d'être informé, dans un langage clair, du fonctionnement général d'un système d'IA — la logique mise en œuvre, l'importance du traitement et les conséquences probables pour les personnes concernées. Il s'agit du droit de comprendre le système lui-même ; le droit à une explication d'une décision particulière prise à votre sujet constitue un droit distinct.",[],[],[],"rights_algorithmic-transparency",[3051],{"id":585,"label":3052,"required":15,"kind":65},[3053,3054],{"locale":36,"value":610},{"locale":39,"value":612},[707,708],{"id":3057,"category_id":585,"title":3058,"description":3063,"authoring_guidance":3068,"examples":3069,"sources":3070,"symbol_id":3071,"variables":3072,"shape":605,"icon_variants":3077},"right_be_forgotten",[3059,3061],{"locale":36,"value":3060},"Right to Be Forgotten",{"locale":39,"value":3062},"Droit à l'oubli",[3064,3066],{"locale":36,"value":3065},"The right to have your personal data deleted from an AI system when the data is no longer needed for its original purpose, when you withdraw consent, or when there is no legitimate interest in continuing to process it. Where technically feasible, this also includes having the system \"unlearn\" information derived from your data. This is a right of deletion; the right to stop processing without deletion is a separate right.",{"locale":39,"value":3067},"Le droit à l'effacement de vos données à caractère personnel d'un système d'IA lorsque les données ne sont plus nécessaires à leur finalité initiale, lorsque vous retirez votre consentement ou lorsqu'il n'y a pas d'intérêt légitime à continuer leur traitement. Lorsque cela est techniquement possible, cela inclut également que le système \"désapprenne\" les informations dérivées de vos données. Il s'agit d'un droit à l'effacement ; le droit d'arrêter le traitement sans effacement est un droit distinct.",[],[],[],"rights_forgotten",[3073],{"id":585,"label":3074,"required":15,"kind":65},[3075,3076],{"locale":36,"value":610},{"locale":39,"value":612},[707,708],{"id":3079,"category_id":585,"title":3080,"description":3085,"authoring_guidance":3090,"examples":3091,"sources":3092,"symbol_id":3093,"variables":3094,"shape":605,"icon_variants":3099},"right_contest",[3081,3083],{"locale":36,"value":3082},"Right to Contest",{"locale":39,"value":3084},"Droit de contestation",[3086,3088],{"locale":36,"value":3087},"The right to challenge a decision an AI system has made about you — to provide additional information, express your point of view, and have the decision reconsidered based on your input. This is a remedy after a decision has been made; the right to a human review before a decision is acted on is a separate right.",{"locale":39,"value":3089},"Le droit de contester une décision qu'un système d'IA a prise à votre sujet — d'apporter des informations supplémentaires, d'exprimer votre point de vue et d'obtenir que la décision soit réexaminée sur la base de votre contribution. Il s'agit d'un recours postérieur à la décision ; le droit à un examen humain avant qu'une décision ne soit exécutée constitue un droit distinct.",[],[],[],"rights_contest",[3095],{"id":585,"label":3096,"required":15,"kind":65},[3097,3098],{"locale":36,"value":610},{"locale":39,"value":612},[707,708],{"id":3101,"category_id":585,"title":3102,"description":3107,"authoring_guidance":3112,"examples":3113,"sources":3114,"symbol_id":3115,"variables":3116,"shape":605,"icon_variants":3121},"right_correction",[3103,3105],{"locale":36,"value":3104},"Right to Correct Your Data",{"locale":39,"value":3106},"Droit de rectifier vos données",[3108,3110],{"locale":36,"value":3109},"The right to have inaccurate or incomplete data that an AI system holds about you corrected or completed. This is separate from the right to access your data (which is the right to read it) and the right to be forgotten (which is the right to delete it). When the original data is corrected, downstream decisions made from the faulty data should be revisited.",{"locale":39,"value":3111},"Le droit de faire rectifier ou compléter les données inexactes ou incomplètes qu'un système d'IA détient à votre sujet. Ce droit se distingue du droit d'accès (qui est le droit de les consulter) et du droit à l'oubli (qui est le droit à leur effacement). Lorsque les données d'origine sont rectifiées, les décisions ultérieures prises à partir de données erronées devraient être réexaminées.",[],[],[],"dtpr_api",[3117],{"id":585,"label":3118,"required":15,"kind":65},[3119,3120],{"locale":36,"value":610},{"locale":39,"value":612},[707,708],{"id":3123,"category_id":585,"title":3124,"description":3129,"authoring_guidance":3134,"examples":3135,"sources":3136,"symbol_id":3115,"variables":3137,"shape":605,"icon_variants":3142},"right_individual_decision_explanation",[3125,3127],{"locale":36,"value":3126},"Right to an Explanation of a Decision",{"locale":39,"value":3128},"Droit à une explication d'une décision",[3130,3132],{"locale":36,"value":3131},"The right to a clear and meaningful explanation of how an AI system contributed to a specific decision affecting you — what role the system played, the main factors that led to the outcome, and what it means for you. This right covers the decision actually made about you; the right to be informed about how the system works in general is a separate right.",{"locale":39,"value":3133},"Le droit à une explication claire et significative de la manière dont un système d'IA a contribué à une décision particulière vous concernant — le rôle joué par le système, les principaux facteurs qui ont conduit au résultat et ce que cela signifie pour vous. Ce droit couvre la décision effectivement prise à votre sujet ; le droit d'être informé du fonctionnement général du système est un droit distinct.",[],[],[],[3138],{"id":585,"label":3139,"required":15,"kind":65},[3140,3141],{"locale":36,"value":610},{"locale":39,"value":612},[707,708],{"id":3144,"category_id":585,"title":3145,"description":3150,"authoring_guidance":3155,"examples":3156,"sources":3157,"symbol_id":3158,"variables":3159,"shape":605,"icon_variants":3164},"right_non_discrimination",[3146,3148],{"locale":36,"value":3147},"Right to Non-discrimination",{"locale":39,"value":3149},"Droit à la non-discrimination",[3151,3153],{"locale":36,"value":3152},"The right to be free from discriminatory treatment by AI systems based on protected characteristics such as race, gender, age, religion, disability, or sexual orientation. Organizations must implement and demonstrate appropriate technical and organizational measures to prevent discriminatory outcomes from their AI systems.",{"locale":39,"value":3154},"Le droit de ne pas être traité de manière discriminatoire par les systèmes d'IA sur la base de caractéristiques protégées telles que la race, le sexe, l'âge, la religion, le handicap ou l'orientation sexuelle. Les organisations doivent mettre en œuvre et démontrer des mesures techniques et organisationnelles appropriées pour éviter que leurs systèmes d'IA ne produisent des résultats discriminatoires.",[],[],[],"rights_non-discrimination",[3160],{"id":585,"label":3161,"required":15,"kind":65},[3162,3163],{"locale":36,"value":610},{"locale":39,"value":612},[707,708],{"id":3166,"category_id":585,"title":3167,"description":3172,"authoring_guidance":3177,"examples":3178,"sources":3179,"symbol_id":3115,"variables":3180,"shape":605,"icon_variants":3185},"right_object",[3168,3170],{"locale":36,"value":3169},"Right to Stop Processing",{"locale":39,"value":3171},"Droit d'opposition au traitement",[3173,3175],{"locale":36,"value":3174},"The right to ask an organization to stop using your personal data, even when the data itself is not deleted. This is separate from the right to be forgotten (which deletes the data) and from the right to purpose limitation (which constrains the original stated purposes). It is the user-invoked stop-now affordance — your data may stay on file, but no further processing should happen against it.",{"locale":39,"value":3176},"Le droit de demander à une organisation de cesser d'utiliser vos données à caractère personnel, même lorsque les données elles-mêmes ne sont pas supprimées. Il est distinct du droit à l'oubli (qui supprime les données) et du droit à la limitation des finalités (qui restreint les finalités initialement annoncées). Il s'agit du levier d'arrêt immédiat actionné par l'utilisateur : vos données peuvent rester archivées, mais aucun traitement supplémentaire ne doit être effectué.",[],[],[],[3181],{"id":585,"label":3182,"required":15,"kind":65},[3183,3184],{"locale":36,"value":610},{"locale":39,"value":612},[707,708],{"id":3187,"category_id":585,"title":3188,"description":3193,"authoring_guidance":3198,"examples":3199,"sources":3200,"symbol_id":3201,"variables":3202,"shape":605,"icon_variants":3207},"right_purpose_limitation",[3189,3191],{"locale":36,"value":3190},"Right to Purpose Limitation",{"locale":39,"value":3192},"Limitation du droit à l'objet",[3194,3196],{"locale":36,"value":3195},"The right that your data is only used for the specific purposes that were stated when it was collected. The organization must declare and document those purposes before collection begins, and is barred from later using your data for new, unrelated purposes without your knowledge or consent. This is an upstream limit on what use is ever allowed; the right to stop processing already underway is a separate right.",{"locale":39,"value":3197},"Le droit que vos données ne soient utilisées qu'aux fins spécifiques annoncées lors de leur collecte. L'organisation doit déclarer et documenter ces finalités avant le début de la collecte, et il lui est interdit d'utiliser ensuite vos données à des fins nouvelles et sans rapport, sans votre connaissance ni votre consentement. Il s'agit d'une limite en amont sur l'usage autorisé ; le droit d'arrêter un traitement déjà en cours est un droit distinct.",[],[],[],"rights_purpose-limitation",[3203],{"id":585,"label":3204,"required":15,"kind":65},[3205,3206],{"locale":36,"value":610},{"locale":39,"value":612},[707,708],{"id":3209,"category_id":585,"title":3210,"description":3215,"authoring_guidance":3220,"examples":3221,"sources":3222,"symbol_id":3115,"variables":3223,"shape":605,"icon_variants":3228},"right_to_human_review",[3211,3213],{"locale":36,"value":3212},"Right to a Human Review",{"locale":39,"value":3214},"Droit à un examen humain",[3216,3218],{"locale":36,"value":3217},"The right to have a person — not an automated system — make or meaningfully reconsider a decision affecting you. This is a path to a non-automated decision, separate from the right to challenge a decision that has already been made. The reviewing person must have the authority and information to actually change the outcome.",{"locale":39,"value":3219},"Le droit qu'une personne — et non un système automatisé — prenne ou réexamine de manière significative une décision vous concernant. Il s'agit d'une voie vers une décision non automatisée, distincte du droit de contester une décision déjà prise. La personne qui procède à l'examen doit disposer de l'autorité et des informations nécessaires pour modifier effectivement le résultat.",[],[],[],[3224],{"id":585,"label":3225,"required":15,"kind":65},[3226,3227],{"locale":36,"value":610},{"locale":39,"value":612},[707,708],{"id":3230,"category_id":585,"title":3231,"description":3236,"authoring_guidance":3241,"examples":3242,"sources":3243,"symbol_id":3115,"variables":3244,"shape":605,"icon_variants":3249},"right_to_notice",[3232,3234],{"locale":36,"value":3233},"Right to Be Informed of AI Use",{"locale":39,"value":3235},"Droit d'être informé de l'utilisation de l'IA",[3237,3239],{"locale":36,"value":3238},"The right to know that an AI system is in operation before any decision affecting you is made. This includes being told when you are interacting with an automated system rather than a person, when content is AI-generated, and when biometric or emotion-recognition technology is in use. This is the precondition for every other right in this category — you cannot exercise rights you do not know apply to you.",{"locale":39,"value":3240},"Le droit de savoir qu'un système d'IA est en fonctionnement avant qu'une décision vous concernant ne soit prise. Cela comprend le fait d'être informé lorsque vous interagissez avec un système automatisé plutôt qu'avec une personne, lorsque du contenu est généré par IA et lorsqu'une technologie biométrique ou de reconnaissance des émotions est utilisée. Il s'agit de la condition préalable à tous les autres droits de cette catégorie : vous ne pouvez pas exercer des droits dont vous ignorez l'existence.",[],[],[],[3245],{"id":585,"label":3246,"required":15,"kind":65},[3247,3248],{"locale":36,"value":610},{"locale":39,"value":612},[707,708],{"id":3251,"category_id":526,"title":3252,"description":3257,"authoring_guidance":3262,"examples":3263,"sources":3264,"symbol_id":3251,"variables":3268,"shape":87,"icon_variants":3273},"risk_assessment",[3253,3255],{"locale":36,"value":3254},"Risk Assessment & Triage",{"locale":39,"value":3256},"Évaluation des risques et triage",[3258,3260],{"locale":36,"value":3259},"Scores or prioritizes individuals or cases for further attention or action — for example, recidivism scoring, hospital triage, child-welfare risk flags. Distinct from Planning & Decision-making, which forecasts at a population or system level.",{"locale":39,"value":3261},"Note ou hiérarchise des personnes ou des cas pour une attention ou une action accrue — par exemple, notation de récidive, triage hospitalier, signalements de risque en protection de l'enfance. À distinguer de Planification et prise de décision, qui prévoit à l'échelle d'une population ou d'un système.",[],[],[3265],{"type":1107,"title":3266,"url":1109,"citation":3267},"EU AI Act Annex III §6 and §8 — Law-enforcement profiling and individual risk assessment in the administration of justice","Regulation (EU) 2024\u002F1689, Article 6(2). AIAAIC repository documents incidents in COMPAS recidivism scoring (US), Dutch SyRI welfare-fraud risk, and UK Gangs Matrix.",[3269],{"id":60,"label":3270,"required":54,"kind":65},[3271,3272],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3275,"category_id":526,"title":3276,"description":3281,"authoring_guidance":3286,"examples":3287,"sources":3288,"symbol_id":3275,"variables":3289,"shape":87,"icon_variants":3294},"safety_security",[3277,3279],{"locale":36,"value":3278},"Safety & Security",{"locale":39,"value":3280},"Sûreté et sécurité",[3282,3284],{"locale":36,"value":3283},"Supports preventive risk reduction in physical environments — for example, fire safety, home security, or ensuring safe passage in airports or on roads. Distinct from Enforcement (rule application) and from Fire & Emergency (incident response).",{"locale":39,"value":3285},"Soutient la réduction préventive des risques dans les environnements physiques — par exemple la sécurité incendie, la sécurité domestique ou la sécurité de passage dans les aéroports ou sur les routes. À distinguer de Cadre légal (application des règles) et de Incendie et urgence (réponse aux incidents).",[],[],[],[3290],{"id":60,"label":3291,"required":54,"kind":65},[3292,3293],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3296,"category_id":411,"title":3297,"description":3302,"authoring_guidance":3307,"examples":3308,"sources":3309,"symbol_id":3310,"variables":3311,"shape":87,"icon_variants":3316},"screen_or_sign",[3298,3300],{"locale":36,"value":3299},"A screen or sign",{"locale":39,"value":3301},"Un écran ou un panneau",[3303,3305],{"locale":36,"value":3304},"The output appears on a display in the place — a variable message sign over a road, a departure board, a kiosk screen, a dashboard readout. You encounter the system by reading what it shows.",{"locale":39,"value":3306},"Le résultat s'affiche sur un écran dans le lieu — panneau à message variable au-dessus d'une route, tableau des départs, écran de borne, affichage de tableau de bord. Vous rencontrez le système en lisant ce qu'il montre.",[],[],[],"system_screen",[3312],{"id":60,"label":3313,"required":54,"kind":65},[3314,3315],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3318,"category_id":500,"title":3319,"description":3324,"authoring_guidance":3329,"examples":3330,"sources":3331,"symbol_id":3318,"variables":3332,"shape":352,"icon_variants":3337},"search_retrieval",[3320,3322],{"locale":36,"value":3321},"Search & Retrieval",{"locale":39,"value":3323},"Recherche et récupération",[3325,3327],{"locale":36,"value":3326},"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.",{"locale":39,"value":3328},"Systèmes d'IA qui trouvent et présentent du contenu pertinent dans un ensemble de documents, dossiers ou médias en réponse à une requête. Inclut la recherche sémantique, la récupération vectorielle et les pipelines de génération augmentée par récupération (RAG) qui injectent des passages pertinents dans un modèle de langage. Utilisé dans la QA documentaire, la consultation de registres publics et la recherche en bibliothèque ou en archives.",[],[],[],[3333],{"id":60,"label":3334,"required":54,"kind":65},[3335,3336],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3339,"category_id":140,"title":3340,"description":3345,"authoring_guidance":3350,"examples":3351,"sources":3352,"symbol_id":3353,"variables":3354,"shape":87,"icon_variants":3359},"senses",[3341,3343],{"locale":36,"value":3342},"Senses",{"locale":39,"value":3344},"Perçoit",[3346,3348],{"locale":36,"value":3347},"Senses — turns raw signals from cameras, microphones, or sensors into things the rest of the system can use: detections, transcriptions, readings. Includes continuous monitoring that watches for events. Examples: detecting a vehicle in a camera frame, transcribing a spoken sentence, noticing that a platform is crowded. Distinct from Identifies, which puts a name to who or what it perceives.",{"locale":39,"value":3349},"Perçoit — transforme les signaux bruts des caméras, microphones ou capteurs en éléments utilisables par le reste du système : détections, transcriptions, mesures. Comprend la surveillance continue qui guette des événements. Exemples : détecter un véhicule dans une image, transcrire une phrase parlée, remarquer qu'un quai est bondé. Distinct d'Identifie, qui met un nom sur ce qui est perçu.",[],[],[],"mode_perceptive",[3355],{"id":60,"label":3356,"required":54,"kind":65},[3357,3358],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,188,731,201,732,214,733],{"id":3361,"category_id":655,"title":3362,"description":3367,"authoring_guidance":3372,"examples":3373,"sources":3374,"symbol_id":1011,"variables":3375,"shape":57,"icon_variants":3384},"shared_storage_and_governance",[3363,3365],{"locale":36,"value":3364},"Shared storage and governance",{"locale":39,"value":3366},"Stockage et gouvernance partagés",[3368,3370],{"locale":36,"value":3369},"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.",{"locale":39,"value":3371},"Dans un modéle de magasin de données partagé, le magasin de données est partagé entre plusieurs parties et, comme l'infrastructure est partagée, il devient possible d'appliquer la gouvernance autour de la conservation, de l'accés et de la destruction des données par des politiques intégrées à la structure des données elles-mêmes.",[],[],[],[3376,3380],{"id":60,"label":3377,"required":54,"kind":65},[3378,3379],{"locale":36,"value":63},{"locale":39,"value":63},{"id":578,"label":3381,"required":15,"kind":65},[3382,3383],{"locale":36,"value":581},{"locale":39,"value":583},[707,708],{"id":3386,"category_id":411,"title":3387,"description":3392,"authoring_guidance":3397,"examples":3398,"sources":3399,"symbol_id":3400,"variables":3401,"shape":87,"icon_variants":3406},"signal_light_change",[3388,3390],{"locale":36,"value":3389},"A signal or light change",{"locale":39,"value":3391},"Un changement de signal ou d'éclairage",[3393,3395],{"locale":36,"value":3394},"The output changes what the environment tells you — a traffic light that adapts to flow, street lighting that brightens when people pass, a status light turning red. Subtle enough that most people never realize a system decided it.",{"locale":39,"value":3396},"Le résultat change ce que l'environnement vous indique — un feu de circulation qui s'adapte au trafic, un éclairage public qui s'intensifie au passage, un voyant qui passe au rouge. Assez discret pour que la plupart des gens ne réalisent jamais qu'un système en a décidé.",[],[],[],"switch_tech",[3402],{"id":60,"label":3403,"required":54,"kind":65},[3404,3405],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":1225,"category_id":526,"title":3408,"description":3412,"authoring_guidance":3417,"examples":3418,"sources":3419,"symbol_id":1225,"variables":3420,"shape":87,"icon_variants":3425},[3409,3411],{"locale":36,"value":3410},"Social",{"locale":39,"value":3410},[3413,3415],{"locale":36,"value":3414},"For interacting with another person or a group.",{"locale":39,"value":3416},"Pour interagir avec une autre personne ou un groupe.",[],[],[],[3421],{"id":60,"label":3422,"required":54,"kind":65},[3423,3424],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3427,"category_id":614,"title":3428,"description":3433,"authoring_guidance":3438,"examples":3439,"sources":3440,"symbol_id":3441,"variables":3442,"shape":605,"icon_variants":3451},"societal_cultural_harm",[3429,3431],{"locale":36,"value":3430},"Societal & cultural harm",{"locale":39,"value":3432},"Préjudice sociétal et culturel",[3434,3436],{"locale":36,"value":3435},"The risk that the AI system harms communities or culture through erosion of trust, loss of linguistic and cultural diversity, or unhealthy dependency on opaque systems. This includes risks of misinformation at scale, homogenization of cultural expression, replacement of local knowledge, and degradation of public-information ecosystems. Mitigations may include multilingual support, partnerships with affected communities, provenance signals on generated content, and investment in local-language and local-context models.",{"locale":39,"value":3437},"Le risque que le système d'IA porte atteinte aux communautés ou à la culture par l'érosion de la confiance, la perte de diversité linguistique et culturelle ou une dépendance malsaine à des systèmes opaques. Cela inclut les risques de désinformation à grande échelle, d'homogénéisation de l'expression culturelle, de substitution des savoirs locaux et de dégradation des écosystèmes d'information publique. Les mesures d'atténuation peuvent inclure un support multilingue, des partenariats avec les communautés concernées, des signaux de provenance sur les contenus générés et des investissements dans des modèles spécifiques aux langues et aux contextes locaux.",[],[],[],"risks_societal-cultural",[3443,3447],{"id":641,"label":3444,"required":15,"kind":65},[3445,3446],{"locale":36,"value":644},{"locale":39,"value":646},{"id":648,"label":3448,"required":54,"kind":65},[3449,3450],{"locale":36,"value":651},{"locale":39,"value":653},[707,708],{"id":3453,"category_id":500,"title":3454,"description":3459,"authoring_guidance":3464,"examples":3465,"sources":3466,"symbol_id":3467,"variables":3468,"shape":352,"icon_variants":3473},"speech_audio",[3455,3457],{"locale":36,"value":3456},"Speech & Audio",{"locale":39,"value":3458},"Parole et audio",[3460,3462],{"locale":36,"value":3461},"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.",{"locale":39,"value":3463},"Systèmes d'IA qui convertissent entre la parole et d'autres formats, ou qui classent les sons non vocaux. Inclut la transcription parole-vers-texte, la synthèse vocale, la détection de mots-clés et la détection d'événements sonores. La voix comme identité (reconnaître qui parle) relève de la reconnaissance biométrique.",[],[],[],"processing_text-to-speech",[3469],{"id":60,"label":3470,"required":54,"kind":65},[3471,3472],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3475,"category_id":411,"title":3476,"description":3481,"authoring_guidance":3486,"examples":3487,"sources":3488,"symbol_id":2230,"variables":3489,"shape":87,"icon_variants":3494},"spoken_announcement",[3477,3479],{"locale":36,"value":3478},"A spoken announcement",{"locale":39,"value":3480},"Une annonce sonore",[3482,3484],{"locale":36,"value":3483},"The output is played aloud in the place — a public-address announcement, a synthesized voice at a crossing or platform, an audible alarm. Reaches everyone present, including people who never looked at a screen.",{"locale":39,"value":3485},"Le résultat est diffusé à voix haute dans le lieu — annonce par haut-parleur, voix de synthèse à un passage ou sur un quai, alarme sonore. Atteint toutes les personnes présentes, y compris celles qui n'ont jamais regardé d'écran.",[],[],[],[3490],{"id":60,"label":3491,"required":54,"kind":65},[3492,3493],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3496,"category_id":655,"title":3497,"description":3502,"authoring_guidance":3507,"examples":3508,"sources":3509,"symbol_id":1011,"variables":3510,"shape":57,"icon_variants":3519},"stored_locally",[3498,3500],{"locale":36,"value":3499},"Stored locally",{"locale":39,"value":3501},"Stocké localement",[3503,3505],{"locale":36,"value":3504},"Data is stored in the jurisdiction where it was collected.",{"locale":39,"value":3506},"Les données sont stockées dans une zone soumise aux mêmes lois que celle où elles sont collectées.",[],[],[],[3511,3515],{"id":60,"label":3512,"required":54,"kind":65},[3513,3514],{"locale":36,"value":63},{"locale":39,"value":63},{"id":578,"label":3516,"required":15,"kind":65},[3517,3518],{"locale":36,"value":581},{"locale":39,"value":583},[707,708],{"id":3521,"category_id":655,"title":3522,"description":3527,"authoring_guidance":3532,"examples":3533,"sources":3534,"symbol_id":1011,"variables":3535,"shape":57,"icon_variants":3544},"stored_on_3rd_party_cloud",[3523,3525],{"locale":36,"value":3524},"Stored on 3rd Party Cloud",{"locale":39,"value":3526},"Stocké sur un cloud tiers",[3528,3530],{"locale":36,"value":3529},"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",{"locale":39,"value":3531},"Les données sont stockées au nom de l'organisation ou du collecteur de données dans un centre de données hors site.",[],[],[],[3536,3540],{"id":60,"label":3537,"required":54,"kind":65},[3538,3539],{"locale":36,"value":63},{"locale":39,"value":63},{"id":578,"label":3541,"required":15,"kind":65},[3542,3543],{"locale":36,"value":581},{"locale":39,"value":583},[707,708],{"id":3546,"category_id":655,"title":3547,"description":3552,"authoring_guidance":3557,"examples":3558,"sources":3559,"symbol_id":1011,"variables":3560,"shape":57,"icon_variants":3569},"stored_primarily_internationally",[3548,3550],{"locale":36,"value":3549},"Stored primarily internationally",{"locale":39,"value":3551},"Stockés principalement à l'international",[3553,3555],{"locale":36,"value":3554},"Data is stored outside the jurisdiction where it was collected.",{"locale":39,"value":3556},"Les données sont stockées en dehors de la juridiction où elles ont été collectées.",[],[],[],[3561,3565],{"id":60,"label":3562,"required":54,"kind":65},[3563,3564],{"locale":36,"value":63},{"locale":39,"value":63},{"id":578,"label":3566,"required":15,"kind":65},[3567,3568],{"locale":36,"value":581},{"locale":39,"value":583},[707,708],{"id":3571,"category_id":655,"title":3572,"description":3577,"authoring_guidance":3582,"examples":3583,"sources":3584,"symbol_id":1011,"variables":3585,"shape":57,"icon_variants":3594},"stored_primarily_locally",[3573,3575],{"locale":36,"value":3574},"Stored primarily locally",{"locale":39,"value":3576},"Stocké principalement localement",[3578,3580],{"locale":36,"value":3579},"Data is stored mainly in the jurisdiction where it was collected.",{"locale":39,"value":3581},"Les données sont stockées principalement dans la juridiction où elles ont été collectées.",[],[],[],[3586,3590],{"id":60,"label":3587,"required":54,"kind":65},[3588,3589],{"locale":36,"value":63},{"locale":39,"value":63},{"id":578,"label":3591,"required":15,"kind":65},[3592,3593],{"locale":36,"value":581},{"locale":39,"value":583},[707,708],{"id":3596,"category_id":306,"title":3597,"description":3602,"authoring_guidance":3607,"examples":3608,"sources":3609,"symbol_id":3115,"variables":3610,"shape":87,"icon_variants":3615},"third_party_feed",[3598,3600],{"locale":36,"value":3599},"Third-Party Data Feed",{"locale":39,"value":3601},"Flux de données tiers",[3603,3605],{"locale":36,"value":3604},"Data received from another organization — purchased, licensed, or delivered through an API or data-sharing agreement. Examples: credit bureau records, weather services, map providers, data brokers. The people the data describes may never have dealt with this system's operator.",{"locale":39,"value":3606},"Données reçues d'une autre organisation — achetées, sous licence ou livrées via une API ou un accord de partage. Exemples : dossiers d'agences de crédit, services météo, fournisseurs de cartes, courtiers en données. Les personnes décrites n'ont peut-être jamais eu affaire à l'exploitant de ce système.",[],[],[],[3611],{"id":60,"label":3612,"required":54,"kind":65},[3613,3614],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3617,"category_id":526,"title":3618,"description":3623,"authoring_guidance":3628,"examples":3629,"sources":3630,"symbol_id":3617,"variables":3643,"shape":87,"icon_variants":3648},"translation_language",[3619,3621],{"locale":36,"value":3620},"Translation & Language Access",{"locale":39,"value":3622},"Traduction et accès linguistique",[3624,3626],{"locale":36,"value":3625},"Translates speech, text, or signs to make a place or service accessible across languages — for example, real-time interpretation at a service counter, multilingual signage.",{"locale":39,"value":3627},"Traduit la parole, le texte ou la signalétique pour rendre un lieu ou un service accessible dans plusieurs langues — par exemple, l'interprétation en temps réel à un guichet, la signalétique multilingue.",[],[],[3631,3635,3639],{"type":164,"title":3632,"url":3633,"citation":3634},"European Charter for Regional or Minority Languages","https:\u002F\u002Fwww.coe.int\u002Fen\u002Fweb\u002Feuropean-charter-regional-or-minority-languages","Council of Europe, 1992.",{"type":1107,"title":3636,"url":3637,"citation":3638},"EU Web Accessibility Directive","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2016\u002F2102\u002Foj","Directive (EU) 2016\u002F2102.",{"type":2010,"title":3640,"url":3641,"citation":3642},"WCAG 2.2 — Web Content Accessibility Guidelines","https:\u002F\u002Fwww.w3.org\u002FTR\u002FWCAG22\u002F","W3C Recommendation.",[3644],{"id":60,"label":3645,"required":54,"kind":65},[3646,3647],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3650,"category_id":140,"title":3651,"description":3656,"authoring_guidance":3661,"examples":3662,"sources":3663,"symbol_id":3664,"variables":3665,"shape":87,"icon_variants":3670},"understands",[3652,3654],{"locale":36,"value":3653},"Understands",{"locale":39,"value":3655},"Comprend",[3657,3659],{"locale":36,"value":3658},"Understands — pulls meaning from text or speech, finds related ideas, and connects what it reads to saved context. It returns matches, intents, summaries, or links to relevant prior knowledge, not new content. Examples: matching a question to the right help article, retrieving the policy clause that applies to a case, recognizing the topic of a sentence.",{"locale":39,"value":3660},"Comprend — extrait le sens d'un texte ou d'une parole, trouve des idées liées et relie ce qu'il lit à un contexte enregistré. Il renvoie des correspondances, des intentions, des résumés ou des liens vers des connaissances pertinentes, pas de nouveau contenu. Exemples : relier une question au bon article d'aide, retrouver la clause qui s'applique à un dossier, reconnaître le sujet d'une phrase.",[],[],[],"mode_semantic",[3666],{"id":60,"label":3667,"required":54,"kind":65},[3668,3669],{"locale":36,"value":63},{"locale":39,"value":63},[707,708,188,731,201,732,214,733],{"id":3672,"category_id":306,"title":3673,"description":3678,"authoring_guidance":3683,"examples":3684,"sources":3685,"symbol_id":2252,"variables":3686,"shape":87,"icon_variants":3691},"user_input",[3674,3676],{"locale":36,"value":3675},"User Input",{"locale":39,"value":3677},"Saisie de l'utilisateur",[3679,3681],{"locale":36,"value":3680},"Information people provide deliberately — a form they fill in, text they type, a search they run, a photo they upload, a voice command they speak. The person knows they are handing something over, unlike sensing that happens around them.",{"locale":39,"value":3682},"Informations que les personnes fournissent délibérément — un formulaire rempli, un texte saisi, une recherche lancée, une photo téléversée, une commande vocale prononcée. La personne sait qu'elle transmet quelque chose, contrairement à la captation qui se produit autour d'elle.",[],[],[],[3687],{"id":60,"label":3688,"required":54,"kind":65},[3689,3690],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3693,"category_id":306,"title":3694,"description":3699,"authoring_guidance":3704,"examples":3705,"sources":3706,"symbol_id":3707,"variables":3708,"shape":87,"icon_variants":3713},"vehicle_detection",[3695,3697],{"locale":36,"value":3696},"Vehicle Detection",{"locale":39,"value":3698},"Détection de véhicules",[3700,3702],{"locale":36,"value":3701},"Senses vehicles on a road or in a space — radar, LiDAR, induction loops in the pavement, piezoelectric strips, or gantry-mounted detectors. Used to count traffic, measure speed, and detect congestion. License-plate cameras belong under Camera.",{"locale":39,"value":3703},"Détecte les véhicules sur une route ou dans un espace — radar, LiDAR, boucles d'induction dans la chaussée, bandes piézoélectriques ou détecteurs montés sur portique. Sert à compter le trafic, mesurer la vitesse et détecter la congestion. Les caméras de plaques d'immatriculation relèvent de Caméra.",[],[],[],"sensor",[3709],{"id":60,"label":3710,"required":54,"kind":65},[3711,3712],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3715,"category_id":526,"title":3716,"description":3721,"authoring_guidance":3726,"examples":3727,"sources":3728,"symbol_id":3715,"variables":3729,"shape":87,"icon_variants":3734},"waste_management",[3717,3719],{"locale":36,"value":3718},"Waste Management",{"locale":39,"value":3720},"Gestion des déchets",[3722,3724],{"locale":36,"value":3723},"Supports the handling and disposal of waste, including as recyclables, compost and hazardous materials.",{"locale":39,"value":3725},"Contribue à la manipulation et l'élimination des déchets, y compris les matiéres recyclables, le compost et les matiéres dangereuses.",[],[],[],[3730],{"id":60,"label":3731,"required":54,"kind":65},[3732,3733],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3736,"category_id":526,"title":3737,"description":3742,"authoring_guidance":3747,"examples":3748,"sources":3749,"symbol_id":3736,"variables":3750,"shape":87,"icon_variants":3755},"water_efficiency",[3738,3740],{"locale":36,"value":3739},"Water Efficiency",{"locale":39,"value":3741},"Efficacité de l'eau",[3743,3745],{"locale":36,"value":3744},"Reduces water use and\u002For helps conserve water.",{"locale":39,"value":3746},"Réduit la consommation d'eau et\u002Fou contribue à sa conservation. Pour en savoir plus sur l'efficacité et la conservation de l'eau, ainsi que sur l'infrastructure verte.",[],[],[],[3751],{"id":60,"label":3752,"required":54,"kind":65},[3753,3754],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3757,"category_id":526,"title":3758,"description":3763,"authoring_guidance":3768,"examples":3769,"sources":3770,"symbol_id":1868,"variables":3771,"shape":87,"icon_variants":3776},"wayfinding_services",[3759,3761],{"locale":36,"value":3760},"Wayfinding & Services",{"locale":39,"value":3762},"Signalisation et services",[3764,3766],{"locale":36,"value":3765},"Enables navigation of a location and its amenities and services.",{"locale":39,"value":3767},"Permet la navigation d'un lieu et de ses équipements et services.",[],[],[],[3772],{"id":60,"label":3773,"required":54,"kind":65},[3774,3775],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"id":3778,"category_id":306,"title":3779,"description":3784,"authoring_guidance":3789,"examples":3790,"sources":3791,"symbol_id":3792,"variables":3793,"shape":87,"icon_variants":3798},"wireless_signal_sensing",[3780,3782],{"locale":36,"value":3781},"Wireless Signal Sensing",{"locale":39,"value":3783},"Détection de signaux sans fil",[3785,3787],{"locale":36,"value":3786},"Detects the radio signals devices give off — WiFi probes from phones, Bluetooth, RFID tags, or NFC taps. Often used to count or track devices moving through a space; a device's signal can act as a persistent identifier for the person carrying it.",{"locale":39,"value":3788},"Détecte les signaux radio émis par les appareils — sondes WiFi des téléphones, Bluetooth, étiquettes RFID ou contacts NFC. Souvent utilisé pour compter ou suivre les appareils qui traversent un espace ; le signal d'un appareil peut servir d'identifiant persistant pour la personne qui le porte.",[],[],[],"signal",[3794],{"id":60,"label":3795,"required":54,"kind":65},[3796,3797],{"locale":36,"value":63},{"locale":39,"value":63},[707,708],{"total":3800,"returned":3800,"next_cursor":126},137,1787583522367]