AI Disclosure Act of 2023

Requires generative AI to include a disclaimer on outputs and subjects violators to penalties and grants privileges.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. federal laws
  • Most recent activity: Defunct
  • Most recent activity date: 2025-01-03

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • False or misleading information
  • Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of risk domains, with only subdomain 3.1 (False or misleading information) receiving a coverage score above 1. The Act focuses narrowly on disclosure requirements for AI-generated content to prevent deception, rather than comprehensively addressing AI risks across multiple domains.

Sector coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Information

All other sectors had no coverage in this document.

Sectors Summary

This legislation applies horizontally across all sectors where generative AI is deployed to produce outputs for users. It does not target specific industries but rather establishes a universal disclosure requirement for any entity using generative AI, making it sector-agnostic in its application.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute introduced in the U.S. House of Representatives with mandatory disclosure requirements, explicit enforcement mechanisms through the Federal Trade Commission, and penalties for non-compliance.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: Mr. Torres of New York; United States Congress; House of Representatives; Committee on Energy and Commerce
  • Summary: The bill was introduced by Mr. Torres of New York in the House of Representatives and referred to the Committee on Energy and Commerce, indicating these are the proposing entities.

Target

  • Entity Types: AI_Developer, AI_Deployer
  • Summary: The document targets entities that operate or provide generative artificial intelligence systems, requiring them to include disclaimers on AI-generated outputs. The term 'generative artificial intelligence' broadly covers developers and deployers of such systems.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Federal Trade Commission
  • Summary: The Federal Trade Commission is explicitly designated as the enforcement body with full authority to enforce the disclosure requirements and impose penalties for violations.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Federal Trade Commission
  • Summary: The Federal Trade Commission is implicitly responsible for monitoring compliance through its enforcement authority, though explicit monitoring provisions are not detailed in this brief bill.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document focuses exclusively on the Deploy and Operate and Monitor stages of the AI lifecycle, requiring disclosure on outputs from deployed generative AI systems. It does not address earlier stages such as planning, data collection, model building, or validation.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

  • Generative AI

Technical Scope Summary

The document explicitly mentions generative artificial intelligence and its outputs. It does not define or distinguish between AI models, AI systems, frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, open-weight models, or compute thresholds.

https://www.congress.gov/bill/118th-congress/house-bill/3831
https://agora.eto.tech/instrument/448
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Document data from AGORA, CSET Emerging Technology Observatory.