Disrupt Explicit Forged Images And Non-Consensual Edits 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.

• Exposure to toxic content
• Compromise of privacy
• False or misleading information
• Fraud, scams, and targeted manipulation

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

• Disinformation, surveillance, and influence at scale

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), privacy compromise (2.1), toxic content (1.2), and misinformation (3.1). Coverage is concentrated in privacy violations, malicious use of AI for creating non-consensual intimate imagery, and fraud/manipulation domains.

Sector coverage

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

• Information

All other sectors had no coverage in this document.

Sectors Summary

This Act does not govern AI use within specific economic sectors. Rather, it establishes civil liability for individuals and entities across all sectors who create, possess, or distribute non-consensual AI-generated intimate imagery. The regulation is cross-sectoral, applying to any person or organization regardless of industry.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress that amends existing law to create civil causes of action with specific enforcement mechanisms, damages, and legal remedies for violations involving AI-generated intimate imagery.

Actors

Proposer

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

Target

• Entity Types: AI_Developer, AI_User, Affected_Stakeholder
• Summary: The Act targets any person who produces, possesses, discloses, or solicits AI-generated intimate imagery without consent. This includes AI developers who create such tools, users who deploy them for harmful purposes, and affected individuals whose likenesses are used.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States District Courts
• Summary: Enforcement is conducted through the federal court system, specifically United States District Courts, which have jurisdiction to hear civil actions and issue remedies.

Monitor

• Summary: The Act does not establish a specific monitoring body or oversight mechanism. Enforcement relies on private civil actions brought by affected individuals rather than proactive government monitoring.

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 addresses the Deploy and Operate and Monitor stages by regulating the disclosure, distribution, and use of AI-generated intimate imagery. It does not focus on the development, training, or validation of AI systems themselves, but rather on the harmful outputs and their distribution.

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 mentions AI systems and machine learning as technologies used to create digital forgeries. It does not distinguish between different types of AI (frontier, general purpose, task-specific) or mention compute thresholds, foundation models, or open-source models. The focus is on generative AI capabilities that create intimate visual depictions.