Securing Elections From AI Deception 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
• Lack of capability or robustness

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

• AI system security vulnerabilities
• Overreliance and unsafe use
• Loss of human agency and autonomy
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 6-8 subdomains, with strong focus on malicious actors (4.1, 4.3), misinformation (3.1, 3.2), AI system safety (7.3), and human-computer interaction (5.1). Coverage is concentrated in election security, disinformation prevention, and AI safety 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

This legislation primarily governs the Information sector (AI developers and deployers, media publishers) and Public Administration (election systems and processes). It has minimal coverage of other sectors despite potential cross-sector applicability of AI systems.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute with criminal penalties, civil enforcement mechanisms through the FTC, and mandatory compliance obligations using 'shall' language throughout.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a Congressional bill as indicated by the title 'Securing Elections From AI Deception Act' and the legislative format with sections and subsections typical of federal legislation.

Target

• Entity Types: AI_Developer, AI_Deployer
• Summary: The Act explicitly defines and regulates both 'developers' (those who design, code, or produce covered algorithms) and 'deployers' (those who use covered algorithms), imposing obligations on both categories.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Act explicitly designates the FTC as the primary enforcement body for civil violations and references the federal criminal justice system for criminal penalties.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The FTC is assigned monitoring and reporting responsibilities, including public education efforts and submission of effectiveness reports to Congress.

AI Lifecycle Stages

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

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the Deploy and Operate and Monitor stages, with significant coverage of Build and Use Model through duty of care requirements. It focuses on pre-deployment evaluation, deployment restrictions, and post-deployment monitoring for election-related AI systems.

Technical Scope

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

• AI Systems
• Generative AI

Technical Scope Summary

The document explicitly defines and regulates 'covered algorithms' which encompass AI systems using machine learning, natural language processing, and artificial intelligence techniques. It does not specifically mention frontier AI, general purpose AI, foundation models, or compute thresholds, focusing instead on functional capabilities related to election interference.