In one paragraph
The federal S. 3813 (CLEAR Act, Copyright Labeling and Ethical AI Reporting Act) would require anyone who uses a training dataset to train or release a generative AI model to file a notice with the Register of Copyrights summarizing each copyrighted work in it, at least 30 days before commercial use or release. Copyright owners could sue, with civil penalties of not less than $5,000 per failure, capped at $2,500,000 per year. Introduced February 10, 2026 and referred to the Senate Judiciary Committee; no further action.
Plain-English summary, written with AI assistance. The official text controls.
What it means for business
None yet: the bill is pending. Developers and releasers of generative AI models would have to file training-data notices with the Register of Copyrights and could face copyright-owner suits and civil penalties.
Key provisions
- Sec. 2(b): a person that uses a training dataset in connection with training or releasing a generative AI model shall submit notice with a sufficiently detailed summary of each copyrighted work in it and the dataset's URL if publicly available
- Timing: not later than 30 days before commercial use (including internal organizational use) or release for new models; for earlier models, not later than 30 days after the Register issues regulations
- The Register shall issue regulations on form and filing within 180 days after the effective date and keep a public online database of notices
- Sec. 2(c): an owner may sue; the court may impose a civil penalty of not less than $5,000 for each instance of failing to give notice, an injunction, and attorney's fees; penalties are capped at $2,500,000 per person per year
- Sec. 2(e): takes effect 180 days after enactment
Latest legislative action
Feb 10, 2026. Read twice and referred to the Committee on the Judiciary.
Topics and industries
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This page is general information, not legal advice. Summaries are AI-assisted and may contain errors; read the statute for the controlling text and talk to a lawyer about your situation. Full disclaimer · Report an error