Generative AI Copyright Disclosure 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

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

• Power centralization and unfair distribution
• Economic and cultural devaluation of human effort
• Competitive dynamics
• Governance failure
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of AI risk domains, primarily addressing intellectual property and transparency issues related to training data. It touches on governance mechanisms (6.5) through its regulatory framework and has implicit connections to power centralization (6.1) and competitive dynamics (6.4) through copyright disclosure requirements. The document does not substantially address safety, discrimination, privacy, misinformation, or malicious actor risks.

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.

• Scientific Research & Development Services

All other sectors had no coverage in this document.

Sectors Summary

This legislation primarily governs the Information sector, specifically companies developing generative AI systems and software products. It applies broadly to any entity creating consumer-facing generative AI, which predominantly falls within technology, data processing, and software publishing industries.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute with mandatory compliance requirements, civil penalties for non-compliance, and designated enforcement authority through the Register of Copyrights.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Mr. Schiff; Committee on the Judiciary
• Summary: The document was introduced in the House of Representatives by Mr. Schiff and referred to the Committee on the Judiciary, indicating Congress as the proposing body.

Target

• Entity Types: AI_Developer
• Summary: The Act targets persons who create or alter training datasets for generative AI systems, which are AI developers. The document explicitly defines the scope as those building generative AI systems designed for consumer use.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Register of Copyrights
• Summary: The Register of Copyrights is designated as the enforcement authority with power to assess civil penalties and issue implementing regulations.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Register of Copyrights
• Summary: The Register of Copyrights is responsible for establishing and maintaining a public database of notices, which serves as the monitoring mechanism for compliance.

AI Lifecycle Stages

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

• Collect and Process Data
• Build and Use Model
• Deploy

AI Lifecycle Summary

The document primarily covers the 'Collect and Process Data' stage by requiring disclosure of copyrighted works in training datasets. It also addresses 'Build and Use Model' through requirements for dataset alterations and retraining, and 'Deploy' through pre-deployment notification requirements.

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 defines and covers generative AI systems, generative AI models, and training datasets. It focuses specifically on generative AI (systems that generate expressive material like text, images, audio, or video) designed for consumer use. There is no mention of frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, open-weight models, or compute thresholds.