White House Voluntary AI Commitments — vendor disclosure form

1. Vendor identification

2. AI system identification

3. Provision-specific questions

1. Foundation Models / GPAI. Does the offered system meet the threshold for a general-purpose / foundation model under White House Voluntary AI Commitments (Commitments §1-2 — internal + external security testing of frontier models)? If yes, identify the specific obligations you will satisfy and the evidence you will provide.

   (Cite: Commitments §1-2 — internal + external security testing of frontier models)

2. Deepfakes / Synthetic Content. Does the offered system generate or substantially modify audio / video / image / text in ways requiring disclosure or machine-readable provenance under White House Voluntary AI Commitments (Commitments §5 (watermarking + content provenance for AI-generated content))? Describe the disclosure + provenance mechanisms implemented and their robustness against removal.

   (Cite: Commitments §5 (watermarking + content provenance for AI-generated content))

3. Transparency Obligations. Provide the documentation required under the transparency obligations of White House Voluntary AI Commitments (Commitments §6 (public reporting on capabilities, limitations, appropriate use)) — including (as applicable) model card, system card, training-data summary, evaluation results, and known limitations.

   (Cite: Commitments §6 (public reporting on capabilities, limitations, appropriate use))

4. Synthetic Content Provenance. Does the offered system generate or substantially modify audio / video / image / text in ways requiring disclosure or machine-readable provenance under White House Voluntary AI Commitments (Voluntary commitment #5 — 'develop and deploy mechanisms that enable users to understand if audio or visual content is AI-generated, including robust provenance, watermarking, or both')? Describe the disclosure + provenance mechanisms implemented and their robustness against removal.

   (Cite: Voluntary commitment #5 — 'develop and deploy mechanisms that enable users to understand if audio or visual content is AI-generated, including robust provenance, watermarking, or both')

4. Documentation enclosures expected

Tick each enclosure attached to the vendor response. Missing enclosures should be explained in the “Variances” field below.

• Content provenance + watermarking technical description
• Copies of submitted regulatory reports / registrations
• Safety / capability evaluation results
• Vendor company registration + insurance certificates
• Sub-processor / supply-chain list (including model upstream)

5. Vendor attestation

The undersigned, on behalf of the vendor, attests that the disclosures above are true and complete to the best of their knowledge at the date signed, and undertakes to notify the buyer in writing within 30 days of any material change to those disclosures.