AI Transparency in 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.

• Disinformation, surveillance, and influence at scale
• Fraud, scams, and targeted manipulation
• Lack of transparency or interpretability

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

• False or misleading information
• Pollution of information ecosystem

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 political contexts (4.1, 4.3), with some coverage of misinformation risks (3.1, 3.2). It focuses on transparency and disclosure requirements rather than technical AI safety or broader socioeconomic impacts.

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)

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Information sector (broadcasting, telecommunications, digital media) and Public Administration (election processes, political campaigns). It regulates AI use in political advertising across multiple communication channels.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute that amends the Federal Election Campaign Act with mandatory disclosure requirements, civil penalties for non-compliance, and enforcement by the Federal Election Commission.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is titled 'AI Transparency in Elections Act of 2024' and is presented as Congressional legislation that amends the Federal Election Campaign Act of 1971.

Target

• Entity Types: AI_Deployer, AI_User
• Summary: The Act targets any person who makes disbursements for political communications containing AI-generated content, including candidates, political committees, and other entities financing political advertising.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Federal Election Commission; National Institute of Standards and Technology
• Summary: The Federal Election Commission is designated as the primary enforcement body with authority to impose civil penalties, promulgate regulations, and conduct compliance monitoring. NIST provides technical consultation.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Federal Election Commission; Committee on Rules and Administration of the Senate; Committee on House Administration of the House of Representatives
• Summary: The FEC is required to monitor compliance and submit biannual reports to Congressional committees assessing enforcement and recommending modifications.

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 addresses the Deploy and Operate and Monitor stages of the AI lifecycle, focusing on disclosure requirements when AI-generated content is used in political communications. It does not substantively cover earlier 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

Technical Scope Summary

The document explicitly defines and covers generative artificial intelligence and AI-generated content (images, audio, video). It does not mention AI models, AI systems, frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, open-weight models, or compute thresholds.