The Transparency and Responsibility for Artificial Intelligence Networks Act (TRAIN Act) creates a new legal tool that allows copyright owners to demand information about whether their works were used to train artificial intelligence models. Specifically, copyright holders can file a sworn declaration with a federal district court clerk requesting a subpoena directed at AI developers, asking them to disclose what copyrighted materials were used in training their generative AI systems. The subpoena process is designed to be relatively streamlined—if the copyright owner's request is properly formatted and accompanied by a good-faith declaration, the court clerk must issue the subpoena quickly. AI developers who receive these subpoenas must promptly provide copies of the training materials or records identifying them, and copyright owners who receive this information must keep it confidential. The bill includes enforcement teeth: if a developer ignores a subpoena, courts can presume the developer did use the copyrighted work, and bad-faith subpoena requests can result in sanctions. The law takes effect immediately upon enactment with no special funding requirements mentioned.
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