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AI Foundation Model Transparency Act: New rules for disclosing how AI works and is trained

This law requires companies building large AI systems to disclose what data they used for training and what their limitations are. This helps citizens understand if an AI tool is safe and reliable for important tasks like healthcare or financial decisions.
Key points
Companies must publicly disclose the sources and types of data used to train their AI models.
AI developers must clearly describe the risks and limitations of their systems, especially in sensitive areas like health and elections.
Standardized reports on AI performance and safety benchmarks must be made available to the public.
Fully open-source AI models are exempt from these specific transparency regulations.
The Federal Trade Commission (FTC) will enforce these rules and penalize companies for deceptive practices.
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Status:
Introduced
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Additional Information
AI Foundation Model Transparency Act of 2026
Print number: HR 8094
Sponsor: Rep. Beyer, Donald S. [D-VA-8]
Process start date: 2026-03-26