[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"framework:eu-ai-act\u002F50":3},{"item":4,"lessons":16,"controls":30,"related":41},{"family":5,"item":6,"code":7,"title":8,"citations":9,"publisher":10,"summary_md":11,"official_text":12,"official_attribution":12,"official_url":13,"link_label":14,"note":12,"updated_at":15},"eu-ai-act","50","Article 50","Transparency obligations for providers and deployers of certain AI systems",3,"European Union","**What it asks for.** People must be told when they are interacting with an AI system unless it is obvious. Providers of systems that generate synthetic audio, images, video or text must mark outputs in a machine-readable way so they can be detected as artificially generated. Deployers must disclose deep fakes, AI-generated text published to inform the public on matters of public interest, and the use of emotion recognition or biometric categorisation.\n\n**In practice.** Organisations inventory every chatbot, voice agent, content generator and analytics tool that falls within these categories, then add clear disclosure at the first interaction or exposure. Generative outputs carry watermarks or metadata using robust, interoperable techniques where technically feasible. Editorial workflows record where text was human-reviewed under editorial responsibility, which can remove the disclosure duty for public interest text. Evidence includes screenshots of notices, labelling configurations and the policy defining when disclosure applies.\n\n**Common gaps.** Common gaps are chatbots that do not identify themselves, marketing teams publishing AI-generated images or video without labels, and no inventory of where generative tools are used across the organisation.",null,"https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj","Read the AI Act on EUR-Lex","2026-10-18T15:18:43.664+00:00",{"total":9,"list":17},[18,22,26],{"slug":19,"title":20,"published_at":21},"ai-powered-influence-operations-infiltrate-western-media-via-fake-personas","AI-Powered Influence Operations Infiltrate Western Media via Fake Personas","2026-10-08T18:20:23.317+00:00",{"slug":23,"title":24,"published_at":25},"italian-dpa-warns-rti-for-ai-deepfake-broadcast-without-adequate-disclaimers","Italian DPA Warns RTI for AI Deepfake Broadcast Without Adequate Disclaimers","2026-09-02T16:21:05.63+00:00",{"slug":27,"title":28,"published_at":29},"anthropic-introduces-global-ai-watermarking-to-meet-eu-content-identification-rules","Anthropic Introduces Global AI Watermarking to Meet EU Content Identification Rules","2026-08-15T00:20:20.01+00:00",[31,36],{"slug":32,"name":33,"problem":34,"stories":35},"ai-security","AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",2,{"slug":37,"name":38,"problem":39,"stories":40},"threat-intelligence","Threat intelligence","Attack campaigns reach your sector, suppliers or software before your team hears about them.",1,[42,47,52,57,60,64,68,72],{"family":43,"item":44,"code":45,"title":46,"together":9},"gdpr","5","Article 5(1)(f)","Principles relating to processing of personal data",{"family":48,"item":49,"code":50,"title":51,"together":9},"cis","14","Control 14","Security Awareness and Skills Training",{"family":53,"item":54,"code":55,"title":56,"together":35},"nist-ai-rmf","overview","AI RMF 1.0","AI Risk Management Framework (AI RMF 1.0)",{"family":5,"item":54,"code":58,"title":59,"together":40},"AI Act","Artificial Intelligence Act (Regulation (EU) 2024\u002F1689)",{"family":43,"item":61,"code":62,"title":63,"together":40},"35","Article 35","Data protection impact assessment",{"family":48,"item":65,"code":66,"title":67,"together":40},"3","Control 3","Data Protection",{"family":43,"item":69,"code":70,"title":71,"together":40},"9","Article 9","Processing of special categories of personal data",{"family":73,"item":74,"code":75,"title":76,"together":40},"iso","42001","ISO\u002FIEC 42001","ISO\u002FIEC 42001: Artificial intelligence management system"]