Amends U.S. Code to require disclosures and inclusion of content provenance technologies for AI-generated false personation records, with specific disclosure requirements based on the form of the record, and imposes criminal and civil penalties for non-compliance.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has good coverage of approximately 8-10 subdomains, with strong focus on malicious actors (4.1, 4.2, 4.3), misinformation (3.1, 3.2), privacy and security (2.1), discrimination and toxicity (1.2), and human-computer interaction (5.1). Coverage is concentrated in misuse prevention, information integrity, and protection against harmful content domains.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This is an external regulation with broad cross-sectoral applicability. The document governs deepfake production and distribution across multiple sectors, with explicit focus on Information (media, broadcasting, telecommunications), Arts, Entertainment, and Recreation (motion pictures, performing arts), and implicit coverage of sectors where deepfakes could be used for fraud or manipulation including Finance and Insurance, Public Administration, and National Security.
Hard Law
Legislative Status Summary
This is a binding federal statute amending the U.S. Code with mandatory requirements, criminal penalties up to 5 years imprisonment, civil penalties up to $150,000, and enforcement by the Attorney General and federal courts.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily focuses on the Deploy and Operate and Monitor stages of the AI lifecycle, with specific requirements for content provenance technologies during deployment and ongoing disclosure requirements during operation. It does not substantially address earlier stages like planning, data collection, or model building.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly addresses AI-generated content, specifically deepfakes and generative AI technologies. It focuses on 'advanced technological false personation records' produced through generative AI or similar technologies. The document does not mention AI models, AI systems, frontier AI, general purpose AI, foundation models, compute thresholds, or open-weight models. It is specifically scoped to generative AI applications that create deepfakes.
Document data from AGORA, CSET Emerging Technology Observatory.