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Generative AI transparency bill wins mixed response from industry and advocates

Economic Matters Committee · February 18, 2025
AI-Generated Content: All content on this page was generated by AI to highlight key points from the meeting. For complete details and context, we recommend watching the full video. so we can fix them.

Summary

Delegate Chao Wu presented HB823 to require high‑level public summaries of the data used to train generative AI. Tech industry groups supported transparency in principle but urged narrower, non‑proprietary disclosures and trade‑secret protections; financial regulators sought alignment for banks already subject to oversight.

Delegate Chao Wu told the committee HB823 would require developers of generative AI systems to publish a high‑level summary of the datasets used to train their models, arguing transparency is needed to detect bias and to build public trust.

"By mandating the developers publish clear documentation about the training dataset, this bill ensured that bias in AI will not be identified and…

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