Deepfakes / Synthetic Content

Definition and scope

AI-generated content disclosure, watermarking, election integrity protections.

The cross-jurisdiction picture below shows how each of 29 tracked instruments treats this topic. The patterns vary substantially — and 19 regimes are silent, leaving gaps that future policy work could address.

Historical primacy & cross-jurisdiction tension

First addressed by NIST AI Risk Management Framework on 2023-01-26 (implicit). Subsequent regimes have either codified, diverged from, or remained silent on this baseline.

• Forum-shoppingEU AI Act↔Executive Order 14179 — Removing Barriers to American Leadership in AI
• Forum-shoppingExecutive Order 14110 on Safe, Secure, Trustworthy AI↔UK Pro-Innovation Approach to AI Regulation (White Paper)
• Forum-shoppingInterim Measures for Generative AI Service Management↔OECD AI Principles (Recommendation)

Cross-jurisdiction coverage

Silent regimes — gap signal

Instruments that do not address Deepfakes / Synthetic Content — candidates for future policy work.

• Executive Order 14179 — Removing Barriers to American Leadership in AIUS
• UK Pro-Innovation Approach to AI Regulation (White Paper)UK
• OECD AI Principles (Recommendation)OECD
• Council of Europe Framework Convention on AIcouncil_of_europe
• Bletchley Declaration on AI Safetyglobal
• Seoul Declaration on Safe, Innovative and Inclusive AIglobal
• California SB-1047: Safe and Secure Innovation for Frontier AI Models ActUS
• Brazil AI Bill (PL 2338/2023)BR
• ASEAN Guide on AI Governance and EthicsASEAN
• African Union Continental AI StrategyAfrican_Union
• Anthropic Responsible Scaling Policy (RSP) v2US
• OpenAI Preparedness FrameworkUS
• Google DeepMind Frontier Safety FrameworkUS
• Meta Frontier AI FrameworkUS
• UK-US AI Safety Institute Memorandum of Understandingglobal
• Japan METI AI Guidelines for BusinessJP
• NYC Local Law 144 of 2021 (Automated Employment Decision Tools)US
• Colorado Artificial Intelligence Act (SB 24-205)US
• Illinois HB 3773 / Public Act 103-0804 (AI Employment Discrimination)US

Related enforcement cases

Documented enforcement actions where regulators invoked a rule against a deploying organisation, with the primary-source case record and the lesson the field has drawn from each.

• CAC Doubao deep-synthesis enforcementCN · 2024–2024
  Cyberspace Administration of China (CAC) v. ByteDance (Doubao) — Doubao deployed deepfake-generation feature without prior CAC algorithm registration; failed to embed mandatory deep-synthesis content-provenance label per Deep Synthesis Provisions Art. 16. CAC requested feature removal pending registration.
  Lesson: First named CN-GENAI-2023 enforcement against a frontier-tier Chinese AI developer. Demonstrates: (1) CN registration regime applies pre-deployment + has bite even against domestic champions; (2) cross-instrument enforcement (GenAI rules + Deep Synthesis rules) is operative; (3) remediation is rapid (weeks not years) but private — no consent decree text published.
  Source record →
• MEITY deepfake takedown advisoriesIN · 2023–2024
  Ministry of Electronics and Information Technology (MEITY) v. Multiple intermediaries — Meta, YouTube/Google, X, several Indian social platforms — Failure to take down political deepfake content within statutory windows (36 hours under IT Rules 2021). MEITY's Mar-2024 advisory additionally required pre-deployment-approval for AI models above unspecified capability thresholds; rescinded Apr-2024 after frontier-lab pushback.
  Lesson: India's compressed legislative cycle: a sweeping pre-deployment-approval requirement (closer to CN registration than US sectoral) was rescinded within 5 weeks after industry + civil-society pushback. Demonstrates that Global South AI regulation is in active design AND that even nationally-coercive states face frontier-lab leverage. Indian regulatory approach now favours post-deployment incident reporting + IT-Rules takedown.
  Source record →
• CN CAC algorithm-recommendation rectification campaignCN · 2022–2023
  Cyberspace Administration of China (CAC) v. Multiple platforms: Douyin, Kuaishou, Xiaohongshu, Weibo, Taobao (named in CAC public action) — Unregistered or non-compliant algorithm-recommendation systems. Failure to provide opt-out mechanisms. Failure to register algorithms with CAC under the Algorithm Recommendation Provisions.
  Lesson: First operational implementation of pre-deployment AI registration regime. Demonstrated that CAC has enforcement bandwidth + technical capability to audit recommender algorithms at scale. Platforms responded by significantly altering algorithm transparency + opt-out flows. Cited as the working counter-example to the 'registration regimes are unenforceable' claim.
  Source record →

Related topics

Topics with similar coverage patterns across the tracked instruments.

• Synthetic Content Provenance
• Technological Sovereignty