Fraudulent Artificial Intelligence Regulations (FAIR) Elections Act of 2024

• 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
• 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 system security vulnerabilities
• Pollution of information ecosystem
• Governance failure

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document primarily addresses risks related to malicious actors using AI for disinformation and manipulation in elections (4.1, 4.3), false information and misinformation (3.1), and information ecosystem pollution (3.2). It has minimal coverage of AI system security vulnerabilities (2.2) and governance mechanisms (6.5). The focus is concentrated on preventing AI-generated election misinformation and voter intimidation.

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, publishing, streaming services) and Public Administration (election officials, voter registration). It also has minimal coverage of Professional and Technical Services through references to data processing and verification standards.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute with mandatory prohibitions, civil enforcement mechanisms through the Attorney General, and explicit penalties for violations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is titled as an 'Act' and follows standard Congressional legislative format, indicating it was proposed by the United States Congress as federal legislation.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_User
• Entities: persons who distribute AI-generated election media; radio or television broadcasting stations; cable or satellite television operators; streaming services; newspapers; magazines; periodicals; internet or electronic publications; States (for voter registration provisions)
• Summary: The Act targets any person who knowingly distributes false AI-generated election media, with specific exemptions for media organizations that provide proper disclosures. Section 3 specifically targets States regarding voter registration list management.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Attorney General of the United States; United States District Courts
• Summary: The Attorney General is explicitly granted enforcement authority to bring civil actions in federal district courts for violations of the Act's prohibitions.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Attorney General; Director of the National Institute of Standards and Technology; Election Assistance Commission
• Summary: The Attorney General, in consultation with NIST and the Election Assistance Commission, is responsible for approving source information for voter registration list management, indicating a monitoring and oversight role.

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 does not focus on AI development lifecycle stages but rather on the deployment and use of AI-generated content in election contexts. It primarily addresses the distribution and deployment of AI-generated media, with implicit coverage of operational monitoring through enforcement mechanisms.

Technical Scope

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

• AI Models
• Generative AI

Technical Scope Summary

The document explicitly defines and regulates AI-generated content, specifically text, image, audio, or video produced through machine learning, natural language processing, and similar computational techniques. It does not distinguish between different types of AI models (frontier, general purpose, task-specific, etc.) or mention compute thresholds or open-source models.