HR 5272 Protect Elections from Deceptive AI Act

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-09-10

Risk subdomain coverage

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

• False or misleading information
• Disinformation, surveillance, and influence at scale
• Fraud, scams, and targeted manipulation

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

• Pollution of information ecosystem

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 4 subdomains, with strong focus on misinformation (3.1, 3.2) and malicious actors (4.1, 4.3). Coverage is concentrated in information integrity and misuse prevention domains, specifically addressing AI-generated deceptive media in electoral contexts.

Sector coverage

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

• Information
• Public Administration (excl. National Security)

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

• Professional & Technical Services

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs AI use in the Information sector (media entities, broadcasting, publications) and Public Administration (Federal electoral processes). It also indirectly affects Professional and Technical Services related to political campaigns and committees.

Legislative Status

Hard Law

Legislative Status Summary

This is a proposed federal statute (HR 5272) that would amend the Federal Election Campaign Act with binding prohibitions, mandatory language, and civil enforcement mechanisms including injunctive relief and damages.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a Congressional bill enacted by the legislative branch to amend federal election law.

Target

• Entity Types: AI_Deployer, AI_User, Affected_Stakeholder
• Summary: The prohibition applies to any person, political committee, or entity that knowingly distributes deceptive AI media with intent to influence elections. Specific exemptions are provided for media entities under certain conditions. Federal candidates are protected as subjects of the regulation.

Enforcer

• Entity Types: AI_Governance_Actor, Affected_Stakeholder
• Summary: Enforcement occurs through civil actions brought by affected candidates in federal courts, with precedence given under Federal Rules of Civil Procedure.

Monitor

• Summary: No explicit monitoring body or mechanism is designated in the document. Compliance is enforced through private civil actions rather than proactive monitoring.

AI Lifecycle Stages

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

• Build and Use Model
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document focuses primarily on the Deploy and Operate stages of AI systems that generate deceptive audio/visual media. It regulates the distribution (deployment) and use (operation) of AI-generated content in electoral contexts, but does not address planning, data collection, model building, or validation stages.

Technical Scope

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

• AI Models
• AI Systems
• Generative AI

Technical Scope Summary

The document references AI and machine learning systems that generate audio and visual media through deep learning techniques. It focuses on generative AI capabilities without mentioning specific model types, compute thresholds, or distinctions between foundation models, general purpose AI, or open-source models.