Copyright Labeling and Ethical AI Reporting Act

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2026-02-10

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal to no coverage of AI risk domains. It is primarily a copyright compliance instrument focused on notification requirements rather than AI risk mitigation. No risk subdomains receive substantive coverage.

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 is horizontal AI regulation that applies broadly to any entity developing generative AI models using copyrighted works. The primary sectors governed are Information (technology companies, AI developers) and Scientific Research and Development Services (R&D organizations). The regulation does not target specific application sectors but rather regulates the development process across all sectors.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional bill with mandatory notification requirements, civil penalties for non-compliance, court enforcement mechanisms, and binding legal obligations once enacted.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a Congressional bill proposed by the U.S. legislative body, as indicated by the enacting clause and the bill structure.

Target

• Entity Types: AI_Developer
• Summary: The bill explicitly targets 'a person that uses a training dataset in connection with the training or release of a generative AI model,' which includes AI developers and organizations building generative AI systems.

Enforcer

• Entity Types: AI_Governance_Actor, Affected_Stakeholder
• Summary: The enforcement mechanism is dual: copyright owners have standing to bring civil actions in district courts, and the Register of Copyrights receives penalties and maintains oversight through the public database.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Register is responsible for maintaining a public database of all submitted notices, effectively monitoring compliance through this transparency mechanism.

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
• Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the data collection/processing and model building stages by requiring notification about copyrighted works in training datasets. It also covers deployment as it applies to both commercial use and release of generative AI models.

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 specifically focuses on generative AI models, providing an explicit definition. It does not mention frontier AI, general purpose AI, foundation models, or compute thresholds. The scope is limited to AI models that generate expressive content.