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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.",[],[],[778,780,783,788],{"type":754,"title":779,"url":756,"citation":757},"EU AI Act Article 3(1) — output class \"content\"",{"type":754,"title":781,"url":756,"citation":782},"EU AI Act Article 50 — Synthetic-content disclosure","Regulation (EU) 2024/1689, Article 50.",{"type":784,"title":785,"url":786,"citation":787},"standard","NIST AI 100-4 — AI Risk Management Framework","https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-4.pdf","NIST.",{"type":784,"title":789,"url":790,"citation":791},"C2PA — Coalition for Content Provenance and Authenticity","https://c2pa.org","C2PA.","generated_content",[794],{"id":318,"label":795,"required":288},[796],{"locale":301,"value":321},[686,687,466,688,475,689,484,690],{"id":799,"category_id":493,"title":800,"description":803,"authoring_guidance":806,"examples":807,"sources":808,"symbol_id":809,"variables":810,"shape":451,"icon_variants":814},"output_operational_data",[801],{"locale":301,"value":802},"Operational data",[804],{"locale":301,"value":805},"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.",[],[],[],"operational_data",[811],{"id":318,"label":812,"required":288},[813],{"locale":301,"value":321},[686,687,466,688,475,689,484,690],{"id":816,"category_id":493,"title":817,"description":820,"authoring_guidance":823,"examples":824,"sources":825,"symbol_id":829,"variables":830,"shape":451,"icon_variants":834},"output_physical_action",[818],{"locale":301,"value":819},"A physical action",[821],{"locale":301,"value":822},"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.",[],[],[826],{"type":754,"title":827,"url":756,"citation":828},"EU AI Act Article 3(1) — outputs that \"influence physical or virtual environments\"","Regulation (EU) 2024/1689, Article 3(1). Pairs with the agentic_mode element in this schema.","physical_action",[831],{"id":318,"label":832,"required":288},[833],{"locale":301,"value":321},[686,687,466,688,475,689,484,690],{"id":836,"category_id":493,"title":837,"description":840,"authoring_guidance":843,"examples":844,"sources":845,"symbol_id":848,"variables":849,"shape":451,"icon_variants":853},"output_recommendation",[838],{"locale":301,"value":839},"A recommendation or prediction",[841],{"locale":301,"value":842},"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.",[],[],[846],{"type":754,"title":847,"url":756,"citation":757},"EU AI Act Article 3(1) — output classes \"predictions, recommendations\"","dm_priority-ranking",[850],{"id":318,"label":851,"required":288},[852],{"locale":301,"value":321},[686,687,466,688,475,689,484,690],{"id":855,"category_id":493,"title":856,"description":859,"authoring_guidance":862,"examples":863,"sources":864,"symbol_id":874,"variables":875,"shape":451,"icon_variants":879},"output_sensitive_personal",[857],{"locale":301,"value":858},"Sensitive personal information",[860],{"locale":301,"value":861},"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.",[],[],[865,869],{"type":754,"title":866,"url":867,"citation":868},"GDPR Article 9 — Special categories of personal data","https://eur-lex.europa.eu/eli/reg/2016/679/oj","Regulation (EU) 2016/679, Article 9.",{"type":870,"title":871,"url":872,"citation":873},"other","Apple App Store privacy labels — Sensitive Info / Health & Fitness / Financial Info","https://developer.apple.com/app-store/app-privacy-details/","Apple.","sensitive_personal",[876],{"id":318,"label":877,"required":288},[878],{"locale":301,"value":321},[686,687,466,688,475,689,484,690],{"total":588,"returned":588,"next_cursor":365},1779049702366]