AI Foundation Model Transparency Act of 2026

Increased Transparency of AI Systems: Covered entities will be required to provide information regarding the sources of training data, how it is collected, and the composition of that data, such as demographic and language information (Section 2(a)(1)(A) and Section 2(b)(1)-(2)).

Enhanced Public Safety and Risk Awareness: The bill requires descriptions of the intended purposes, foreseen limitations, or risks of a foundation model, as well as information on adverse incident monitoring (Section 2(b)(4)).

Safety Benchmarking for High-Risk Areas: Regulations will require performance evaluations on benchmarks related to sensitive topics such as medical/health questions, national security, cybersecurity, elections, and information relating to vulnerable populations like minors and seniors (Section 2(b)(7)).

Support for Small and New Businesses: The Commission is tasked with establishing a plan to assist small and new businesses with compliance, which includes providing guidance, templates, and a three-month grace period without penalties (Section 2(e)).

Access to Centralized Information: The Commission must host a website that serves as a central location for information regarding foundation models (Section 2(a)(1)(C)(ii)).

Security and Privacy Risks: While the bill allows for redactions, the requirement to disclose information regarding training data and model operations could potentially conflict with the need to protect sensitive, personally identifiable, or cybersecurity-related data (Section 2(a)(1)(C)(iii) and Section 2(g)).

Compliance Burdens for Entities: Covered entities must comply with various transparency, documentation, and reporting requirements, which may impose significant regulatory obligations (Section 2(a)(1)(A)).