AI Tribune
US · FederalUS Senate

Transparency and Responsibility for Artificial Intelligence Networks Act (TRAIN Act, S.2455, 119th Congress)

Creates an administrative subpoena process (modeled on DMCA piracy subpoenas) letting copyright owners with a good-faith belief obtain AI developers' training records to learn whether their works were used to train generative models; failure to comply creates a rebuttable presumption that the developer copied the work.

Reintroduced Jul 24, 2025 by Welch with Blackburn, Schiff, Hawley; referred to Senate Judiciary, no committee action as of July 2026. House companion introduced by Reps. Dean and Moran in Jan 2026. Original version S.5379 (Nov 2024, 118th).as of 2025-07-24primary source ↗

Vehicles carry asks; asks outlive them

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Sorted by what filers wanted done to the rules

Claims filed here

Wants more rules
News/Media AllianceForRequire disclosure of copyrighted works used in training2024-12-17
The government’s consultation, along with its preferred policy option on AI and copyright, fails to address the real issue. The UK’s gold standard copyright law is already clear; what is missing is robust enforcement and transparency requirements that empower creative businesses to assert their rights.

News Media Association (UK); statement of chief executive Owen Meredith. Coded support relative to the transparency ask; the quoted sentence criticises the government's preferred opt-out option.

Authors GuildForRequire disclosure of copyrighted works used in training2025-07-25
This bill helps to achieve that commonsense goal by creating an administrative subpoena process that allows copyright owners to obtain information from AI companies about the works used to train their models. As the Guild has long recognized, this kind of transparency is essential to giving authors the ability to enforce their rights.
Recording Industry Association of AmericaForRequire disclosure of copyrighted works used in training2025-07-25
Artists deserve to know when their works are used and determine the parameters – the Transparency & Responsibility for Artificial Intelligence Networks (TRAIN) Act empowers rightsholders with valuable insight into which specific inputs AI companies are copying to train their models. Just as importantly, it also ensures a clear path to the courts when authorization has not been given.
European creative and cultural sector coalition (40 organisations)ForRequire disclosure of copyrighted works used in training2025-07-30
We strongly reject any claim that the Code of Practice strikes a fair and workable balance or that the Template will deliver “sufficient” transparency about the majority of copyright works or other subject matter used to train GenAI models.

Joint statement of 40 European and international creative and cultural sector organisations incl. CISAC, IFPI, European Writers' Council, STM.