Procurement workflow surface

Provisions on the Administration of Deep Synthesis of Internet Information Services — vendor disclosure form

This is a sample disclosure form a procurement team can adapt for vendor RFPs and ITTs evaluating systems against Provisions on the Administration of Deep Synthesis of Internet Information Services. 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).

Export:use your browser's Print → Save as PDF to produce a printable copy. Native .docx / .pdf export ships on the roadmap (see /wiki/roadmap); for now, browser print-to-PDF is the supported flow.

1. Vendor identification

Vendor legal name

Jurisdiction of incorporation

Primary contact (name, role)

Primary contact (email, phone)

RFP / ITT reference number

Response submission date

2. AI system identification

System name

Version / build identifier

Underlying model(s) + provider(s)

Intended use(s) within this engagement

Jurisdiction(s) of deployment

Other AI-governance instruments the system claims compliance with

3. Provision-specific questions

Biometric Identification. Does the offered system perform biometric identification within scope of Provisions on the Administration of Deep Synthesis of Internet Information Services (Art. 14)? If yes, declare which sub-class applies (real-time / post-hoc / categorisation) and the legal basis under which it is offered for deployment.
(Cite: Art. 14)
Deepfakes / Synthetic Content. Does the offered system generate or substantially modify audio / video / image / text in ways requiring disclosure or machine-readable provenance under Provisions on the Administration of Deep Synthesis of Internet Information Services (Art. 17)? Describe the disclosure + provenance mechanisms implemented and their robustness against removal.
(Cite: Art. 17)
Transparency Obligations. Provide the documentation required under the transparency obligations of Provisions on the Administration of Deep Synthesis of Internet Information Services (Art. 16 & Art. 17) — including (as applicable) model card, system card, training-data summary, evaluation results, and known limitations.
(Cite: Art. 16 & Art. 17)
Individual Redress. Describe the end-user redress + complaint channel offered for the system, including documented appeal path and response-time commitment, consistent with Provisions on the Administration of Deep Synthesis of Internet Information Services (Art. 12).
(Cite: Art. 12)
Training-Data Rights. Identify the legal basis for training-data sourcing for the offered system (including copyright, consent, and any text-and-data-mining exemptions relied upon) and confirm consistency with Provisions on the Administration of Deep Synthesis of Internet Information Services (Art. 14).
(Cite: Art. 14)
Synthetic Content Provenance. Does the offered system generate or substantially modify audio / video / image / text in ways requiring disclosure or machine-readable provenance under Provisions on the Administration of Deep Synthesis of Internet Information Services (Art. 16 & Art. 18)? Describe the disclosure + provenance mechanisms implemented and their robustness against removal.
(Cite: Art. 16 & Art. 18)

4. Documentation enclosures expected

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

Vendor company registration + insurance certificates
Sub-processor / supply-chain list (including model upstream)

Variances (enclosures not attached + reason)

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.

Signatory name

Signatory role / title

Signature

Date

This is a sample form derived from the catalog at /wiki/china-deep-synthesis-provisions. Adapt before issuing. Not legal advice; not jurisdiction-specific. See charter §7.4.

Provisions on the Administration of Deep Synthesis of Internet Information Services — vendor disclosure form

3. Provision-specific questions

Biometric Identification. Does the offered system perform biometric identification within scope of Provisions on the Administration of Deep Synthesis of Internet Information Services (Art. 14)? If yes, declare which sub-class applies (real-time / post-hoc / categorisation) and the legal basis under which it is offered for deployment.

(Cite: Art. 14)

Deepfakes / Synthetic Content. Does the offered system generate or substantially modify audio / video / image / text in ways requiring disclosure or machine-readable provenance under Provisions on the Administration of Deep Synthesis of Internet Information Services (Art. 17)? Describe the disclosure + provenance mechanisms implemented and their robustness against removal.

(Cite: Art. 17)

Transparency Obligations. Provide the documentation required under the transparency obligations of Provisions on the Administration of Deep Synthesis of Internet Information Services (Art. 16 & Art. 17) — including (as applicable) model card, system card, training-data summary, evaluation results, and known limitations.

(Cite: Art. 16 & Art. 17)

Individual Redress. Describe the end-user redress + complaint channel offered for the system, including documented appeal path and response-time commitment, consistent with Provisions on the Administration of Deep Synthesis of Internet Information Services (Art. 12).

(Cite: Art. 12)

Training-Data Rights. Identify the legal basis for training-data sourcing for the offered system (including copyright, consent, and any text-and-data-mining exemptions relied upon) and confirm consistency with Provisions on the Administration of Deep Synthesis of Internet Information Services (Art. 14).