TRAIN Act targets transparency in generative AI training practices |… | HappeningNow.news

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TRAIN Act targets transparency in generative AI training practices | McDermott Will & Schulte

Representatives Madeleine Dean (D-PA) and Nathaniel Moran (R-TX) introduced a bipartisan bill entitled the Transparency and Responsibility for Artificial Intelligence Networks (TRAIN) Act in the US House of Representatives.

Source jdsupra.com AI Summary Published February 12, 2026 Brief Under 1 min brief
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AI Summary

The TRAIN Act aims to increase transparency in the development of generative AI models. This legislation seeks to require companies that create and use these models to disclose their training practices. The TRAIN Act's focus on transparency is significant because it acknowledges the potential risks associated with generative AI. By shedding light on the data and methods used to train these models, the TRAIN Act may help mitigate concerns about bias, accuracy, and accountability. The TRAIN Act's implications for the tech industry are still unclear, but its passage could lead to increased scrutiny of AI development practices.

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