Identifying Outputs of Generative Adversarial Networks Act

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Enacted
• Most recent activity date: 2020-12-23

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

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

• AI system security vulnerabilities
• Pollution of information ecosystem
• Disinformation, surveillance, and influence at scale
• Fraud, scams, and targeted manipulation
• Governance failure
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document focuses primarily on research and standards development for detecting manipulated/synthesized content (deepfakes). It has good coverage of misinformation risks (3.1, 3.2) and malicious actor risks (4.1, 4.3), with minimal coverage of AI system security (2.2) and governance structures (6.5). The document addresses detection and authentication rather than prevention of harms.

Sector coverage

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

• Scientific Research & Development Services

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

• Information
• Educational Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document does not directly govern specific economic sectors. Instead, it directs federal research agencies (NSF and NIST) to support research on detecting manipulated content. The research may have applications across multiple sectors, but the Act itself governs the activities of federal research agencies in the Scientific Research and Development Services sector.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the U.S. Congress with mandatory obligations on federal agencies (NSF and NIST Directors) to support research and submit reports.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Senate and House of Representatives of the United States of America
• Summary: The document is a federal statute enacted by the U.S. Congress, as indicated by the enactment clause and approval date.

Target

• Entity Types: AI_Governance_Actor, AI_Developer
• Entities: National Science Foundation; National Institute of Standards and Technology; Defense Advanced Research Projects Agency; Intelligence Advanced Research Projects Agency; private sector; digital media companies
• Summary: The Act directs federal research agencies (NSF, NIST) to support research and standards development. It also contemplates engagement with private sector entities, particularly digital media companies, and coordination with DARPA and IARPA.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Committee on Science, Space, and Technology of the House of Representatives; Subcommittee on Commerce, Justice, Science, and Related Agencies of the Committee on Appropriations of the House of Representatives; Committee on Commerce, Science, and Transportation of the Senate; Subcommittee on Commerce, Justice, Science, and Related Agencies of the Committee on Appropriations of the Senate
• Summary: Congressional committees are designated as recipients of mandatory reports, providing oversight and enforcement through appropriations and legislative authority.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Committee on Science, Space, and Technology of the House of Representatives; Subcommittee on Commerce, Justice, Science, and Related Agencies of the Committee on Appropriations of the House of Representatives; Committee on Commerce, Science, and Transportation of the Senate; Subcommittee on Commerce, Justice, Science, and Related Agencies of the Committee on Appropriations of the Senate
• Summary: The same Congressional committees that receive mandatory reports serve as monitoring bodies to track implementation and effectiveness of the research programs.

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
• Verify and Validate
• Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the Build and Use Model stage through research on GANs and detection technologies, and the Operate and Monitor stage through research on digital forensics and content authentication. It also covers Verify and Validate through research on detection tools and standards development.

Technical Scope

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

• AI Models
• Generative AI

Technical Scope Summary

The document explicitly focuses on generative adversarial networks (GANs) as a specific type of generative AI technology. It defines GANs in detail and addresses their outputs (deepfakes). The document also references 'other comparable techniques' and 'other technologies that synthesize or manipulate content' but does not mention foundation models, frontier AI, general purpose AI, task-specific AI, or compute thresholds.