Procurement workflow surface
Singapore Model AI Governance Framework for Generative AI — vendor disclosure form
This is a sample disclosure form a procurement team can adapt for vendor RFPs and ITTs evaluating systems against Singapore Model AI Governance Framework for Generative AI. The provision-specific questions below were derived from the catalog's coverage cells; before issuing, a qualified procurement lawyer should review the adapted version against your jurisdiction's contract law. This form is NOT legal advice (see charter §7.4).
1. Vendor identification
2. AI system identification
3. Provision-specific questions
- Foundation Models / GPAI. Does the offered system meet the threshold for a general-purpose / foundation model under Singapore Model AI Governance Framework for Generative AI (Framework Dimension 3 (Trusted Development + Deployment) explicitly covers GenAI models)? If yes, identify the specific obligations you will satisfy and the evidence you will provide.
(Cite: Framework Dimension 3 (Trusted Development + Deployment) explicitly covers GenAI models)
- Deepfakes / Synthetic Content. Does the offered system generate or substantially modify audio / video / image / text in ways requiring disclosure or machine-readable provenance under Singapore Model AI Governance Framework for Generative AI (Framework Dimension 7 — content provenance + synthetic-content disclosure)? Describe the disclosure + provenance mechanisms implemented and their robustness against removal.
(Cite: Framework Dimension 7 — content provenance + synthetic-content disclosure)
- Transparency Obligations. Provide the documentation required under the transparency obligations of Singapore Model AI Governance Framework for Generative AI (Framework Dimension 7 (Content Provenance) + Dimension 5 (Testing + Assurance) — pairs with AI Verify toolkit) — including (as applicable) model card, system card, training-data summary, evaluation results, and known limitations.
(Cite: Framework Dimension 7 (Content Provenance) + Dimension 5 (Testing + Assurance) — pairs with AI Verify toolkit)
- International Coordination. Describe the offered system's compliance posture relative to the Singapore Model AI Governance Framework for Generative AI provisions identified at: Framework explicitly aligns with G7 Hiroshima Code + OECD AI Principles; ASEAN Guide pairs.
(Cite: Framework explicitly aligns with G7 Hiroshima Code + OECD AI Principles; ASEAN Guide pairs)
- Synthetic Content Provenance. Does the offered system generate or substantially modify audio / video / image / text in ways requiring disclosure or machine-readable provenance under Singapore Model AI Governance Framework for Generative AI (Framework dimension 7 — Content Provenance (one of nine framework dimensions, paired with AI Verify Foundation's technical-testing toolkit))? Describe the disclosure + provenance mechanisms implemented and their robustness against removal.
(Cite: Framework dimension 7 — Content Provenance (one of nine framework dimensions, paired with AI Verify Foundation's technical-testing toolkit))
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
- 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.
This is a sample form derived from the catalog at /wiki/singapore-model-ai-governance. Adapt before issuing. Not legal advice; not jurisdiction-specific. See charter §7.4.