Rep. Beyer Introduces Bipartisan Bill Requiring AI Companies to Disclose Training Data
This bill was recently introduced and is currently being reviewed by the House Committee on Energy and Commerce. It is in the early stages of the lawmaking process and is considered active. There are no upcoming votes scheduled at this time.
While the bill has support from both parties, Congress has historically struggled to pass major technology regulations. Most bills of this type do not make it past the committee stage.
Small businesses developing AI foundation models face new compliance obligations, but the bill provides meaningful accommodations. They receive a three-month grace period before penalties can kick in, access to FTC compliance guidance and templates, and meetings with a technically proficient government representative to help them meet the requirements. This reduces the burden but still requires time and resources to comply.
“Providing one three-month grace period beginning on the date on which a small business or new business becomes a covered entity during which such covered entity is not subject to penalties under this Act or any regulation promulgated pursuant to this Act.”
Referred to the House Committee on Energy and Commerce.
Introduced in House
The bill was officially filed and given a number. It now enters the legislative queue.
No votes have been recorded for this legislation yet.
Introduced by Rep. Donald Beyer (D-VA), the AI Foundation Model Transparency Act (H.R. 8094) would require the Federal Trade Commission to establish transparency requirements for how artificial intelligence foundation models are built, trained, and deployed.
Rep. Don Beyer introduced the bipartisan AI Foundation Model Transparency Act to establish requirements for high-impact AI models, directing the FTC to determine what information companies must disclose about training data, safety testing, and user data collection.
Document Type
Congressional Bill
Official Title
AI Foundation Model Transparency Act of 2026
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