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: Defunct
• Most recent activity date: 2025-01-03

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
• Pollution of information ecosystem
• 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.

• AI possessing dangerous capabilities

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 4-5 subdomains, with strong focus on malicious actors (4.1, 4.3), misinformation (3.1, 3.2), and AI system capabilities (7.2). Coverage is concentrated in misinformation, malicious use, and electoral integrity domains.

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 the Information sector (broadcasting, telecommunications, streaming services, internet publications) and Public Administration excluding National Security (electoral processes, political campaigns). It also has minimal coverage of Professional and Technical Services through its regulation of political committees and campaign activities.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute with explicit prohibitions, civil enforcement mechanisms including injunctive relief and damages, and mandatory compliance requirements for persons, political committees, and other entities.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is a Congressional Act proposed by the United States Congress, as indicated by the title and legislative format.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_User
• Entities: persons; political committees; other entities
• Summary: The Act targets any person, political committee, or other entity that knowingly distributes materially deceptive AI-generated media related to federal elections. This includes developers, deployers, and users of AI systems for electoral purposes.

Enforcer

• Entity Types: AI_Governance_Actor, Affected_Stakeholder
• Entities: federal courts; covered individuals (candidates for Federal office)
• Summary: Enforcement is through civil actions brought by covered individuals (candidates) in federal courts, with courts having authority to grant injunctive relief and award damages.

Monitor

• Summary: The document does not specify any formal monitoring body or mechanism. Monitoring appears to be decentralized through the private right of action by affected candidates.

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 primarily focuses on the Deploy and Operate and Monitor stages, as it regulates the distribution (deployment) of AI-generated media and addresses ongoing use in federal election contexts. It does not substantially cover earlier lifecycle stages such as planning, data collection, or model development.

Technical Scope

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

• AI Models
• AI Systems
• Generative AI
• Task-specific AI

Technical Scope Summary

The document explicitly mentions AI-generated media created through machine learning, deep learning models, and natural language processing. It focuses on generative AI capabilities that create deceptive audio or visual content. There is no mention of compute thresholds, foundation models, general purpose AI, or open-weight models.