Amends the Federal Election Campaign Act to prohibit knowingly distributing materially deceptive AI-generated audio or visual media to influence elections or solicit funds. Exempts bona fide news, satire, and parody. Allows impacted individuals to seek injunctive relief and damages.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has good coverage of approximately 5 subdomains, with strong focus on misinformation (3.1, 3.2), malicious actors using AI for disinformation and influence operations (4.1), fraud and manipulation (4.3), and unfair misrepresentation (1.1). Coverage is concentrated in the Misinformation and Malicious Actors domains, specifically addressing electoral integrity threats from AI-generated deceptive content.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
The document primarily governs Public Administration (Federal election activities and political processes) with explicit exemptions for the Information sector (news organizations, broadcasters, streaming services, and publications). The core regulation applies to political campaigns and election-related activities.
Hard Law
Legislative Status Summary
This is a Congressional bill (S 1213) that would amend the Federal Election Campaign Act to create binding legal prohibitions with civil enforcement mechanisms including injunctive relief and damages.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document focuses exclusively on the Deploy and Operate stages of the AI lifecycle, addressing the distribution and use of AI-generated content. It does not cover development, training, data collection, or validation stages of AI systems.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and regulates AI-generated content, mentioning machine learning, deep learning models, and natural language processing. It does not address frontier AI, general purpose AI, foundation models, compute thresholds, or open-source models. The focus is on generative AI capabilities that create deceptive audio or visual media.
Document data from AGORA, CSET Emerging Technology Observatory.