Committee approves AI transparency bill requiring training-data disclosures
Lawmakers advanced House Bill 2,503 after adopting an amendment requiring documentation of efforts to remove child sexual-abuse material from training datasets. Supporters called the change a balance of innovation and accountability; critics warned the bill, as written, could impose heavy compliance costs on startups. (Vote: 8–4, 1 excused)
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The Technology, Economic Development and Veterans Committee voted to report substitute House Bill 2,503 out of committee with a due-pass recommendation after adopting Amendment Pool 162, which expands required public documentation about datasets used to train generative AI systems.
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