QUIET Act

Directs Congress to amend the Communications Act of 1934 to require disclosure of the use of artificial intelligence in voice call or text message impersonations.

  • 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.

  • Compromise of privacy
  • False or misleading information
  • Disinformation, surveillance, and influence at scale
  • Fraud, scams, and targeted manipulation
  • Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of approximately 3-4 subdomains, with focus on malicious actors using AI for fraud and manipulation (4.1, 4.3), misinformation (3.1), and privacy concerns (2.1). Coverage is concentrated in the malicious use and misinformation domains, specifically addressing AI-enabled impersonation and deception.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

  • Information

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Information sector (telecommunications and messaging services) by regulating robocalls and text messages that use artificial intelligence. It applies to any entity making calls or sending messages through telecommunications infrastructure.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute with mandatory disclosure requirements and enhanced criminal and civil penalties for violations involving AI impersonation.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress; Mr. Sorensen; Mr. Ciscomani; Committee on Energy and Commerce
  • Summary: The bill was introduced in the House of Representatives by Mr. Sorensen and Mr. Ciscomani and referred to the Committee on Energy and Commerce, indicating Congress as the proposing body.

Target

  • Entity Types: AI_Developer, AI_Deployer
  • Summary: The Act targets any person making robocalls using artificial intelligence, including those who use AI to emulate human beings or impersonate individuals/entities. This includes both developers and deployers of AI-enabled robocall systems.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: The Act references enforcement through existing provisions in the Communications Act, including forfeiture penalties under subsections (b)(4), (e)(5)(A), and section 503(b), and criminal fines under subsection (e)(5)(B) and section 501, which are enforced by the FCC and federal courts.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: While not explicitly stated, monitoring would be conducted by the Federal Communications Commission (FCC) as the regulatory body responsible for enforcing the Communications Act of 1934, which this bill amends.

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 primarily focuses on the Deploy and Operate and Monitor stages, requiring disclosure at the point of use (deployment) and addressing ongoing operations of AI-enabled robocall systems. It does not substantively cover earlier lifecycle stages like planning, data collection, or model development.

Technical Scope

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

  • Generative AI
  • Task-specific AI

Technical Scope Summary

The document explicitly mentions artificial intelligence in the context of voice and text message impersonation and emulation. It does not define AI models, AI systems, or reference specific AI categories like frontier AI, general purpose AI, foundation models, or compute thresholds.

https://www.congress.gov/bill/118th-congress/house-bill/7123
https://agora.eto.tech/instrument/453
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Document data from AGORA, CSET Emerging Technology Observatory.