Protect Victims of Digital Exploitation and Manipulation 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
• AI possessing dangerous capabilities

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 5-6 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 malicious use, privacy violations, and harmful content generation domains.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Information

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

• Professional & Technical Services
• Educational Services
• Health Care & Social Assistance
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This Act governs AI use across the Information sector (communications services, interactive computer services, electronic communication services) and potentially affects Professional and Technical Services (software developers). The primary focus is on regulating digital content creation and distribution platforms.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with explicit criminal penalties including imprisonment up to 5 years and fines, establishing mandatory legal obligations enforceable through the federal criminal justice system.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is explicitly identified as an Act of Congress in the title and authority field, indicating it was proposed and enacted by the United States Congress as the federal legislative body.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_User
• Summary: The Act targets anyone who produces or distributes digital forgeries using AI, machine learning, or software. This includes AI developers who create such systems, deployers who operate them, and users who knowingly or recklessly produce or distribute such content. Service providers are explicitly addressed with conditional liability.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Federal courts; Department of Justice (implied)
• Summary: As a federal criminal statute under title 18 of the United States Code, enforcement would be conducted by federal law enforcement agencies and prosecuted through the federal court system. The Act establishes criminal penalties and extraterritorial jurisdiction, indicating federal enforcement authority.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The document does not explicitly establish monitoring bodies or oversight mechanisms. As a criminal statute, monitoring would occur through standard law enforcement investigation and prosecution processes, but no specific monitoring entity is designated in the Act itself.

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 of the AI lifecycle, focusing on the production and distribution of AI-generated content (digital forgeries). It does not substantially cover planning, data collection, model building, or verification stages, but rather regulates the deployment and ongoing use of AI systems capable of creating intimate visual depictions.

Technical Scope

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

• AI Models
• AI Systems
• Generative AI

Technical Scope Summary

The document explicitly mentions AI, machine learning, and software as technologies used to create digital forgeries. It does not distinguish between different types of AI (frontier, general purpose, task-specific, foundation models, etc.) or mention compute thresholds or open-weight models. The focus is on generative AI capabilities that can create or manipulate visual content.