Prohibits using AI to create or distribute nonconsensual digital forgeries. Requires platforms to remove nonconsensual intimate images upon request. Assigns penalties, establishes procedures for removal requests, and involves FTC for enforcement. Includes rules on threats, restitution, and forfeiture.
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 primarily addresses risks related to malicious actors (4.1, 4.3), privacy compromise (2.1), toxic content exposure (1.2), and AI system capabilities (7.2). It focuses on preventing harm from nonconsensual intimate imagery, including AI-generated deepfakes, through criminal prohibitions and platform removal requirements.
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
The document primarily governs the Information sector, specifically online platforms, websites, and applications that host user-generated content. It applies to covered platforms including social media, content-sharing services, and other interactive computer services.
Hard Law
Legislative Status Summary
This is a binding federal statute enacted by the U.S. Congress with criminal penalties, mandatory platform obligations, and FTC enforcement mechanisms.
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 addresses the Deploy and Operate and Monitor stages of the AI lifecycle, focusing on the publication and distribution of AI-generated content (digital forgeries) and requiring platforms to monitor and remove such content. It does not address earlier stages like planning, data collection, or model development.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly addresses AI-generated content through its definition of 'digital forgery' created using machine learning, artificial intelligence, or other computer-generated means. It focuses on generative AI capabilities that create synthetic intimate imagery. The document does not distinguish between different types of AI systems, models, or compute thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.