AI Vendor Assessment for CN

CN-specific obligations covered

The output is anchored on the regulations that apply to AI deployments in CN. The top frameworks cited:

• Personal Information Protection Law (PIPL 2021)national_law · In force

  Personal information processors must establish a lawful basis for processing, obtain separate consent for sensitive personal information, conduct personal information protection impact assessments for high-risk processing, and provide opt-out mechanisms for automated decision-making affecting individual rights.

• Interim Measures for the Management of Generative AI Services (CAC, 2023)administrative_regulation · In force

  Generative AI service providers must ensure training data is lawfully sourced, implement content filtering to prevent prohibited outputs, label AI-generated content, and obtain a CAC security assessment before launching public services.

• Provisions on the Management of Algorithmic Recommendations (CAC, 2022)administrative_regulation · In force

  Algorithm recommendation service providers must disclose their use of algorithms to users, provide opt-out options for personalised recommendations, refrain from dynamic pricing that discriminates against existing customers, and prominently label algorithmically distributed content.

• Provisions on the Administration of Deep Synthesis Internet Information Services (CAC, 2022)administrative_regulation · In force

  Deep synthesis service providers must implement real-name registration for users, label all synthetic content with a visible AI-generated marker, prohibit creation of content that impersonates real persons without consent, and retain synthetic content logs for sixty days.

How the AI Vendor Assessment approaches this

You describe the vendor (name and product or service) and your organisation's context — jurisdiction, industry, staff size, risk appetite — and choose your alignment framework: ISO/IEC 42001:2023, NIST AI RMF, or both. The tool produces a structured, evidence-based assessment ready to hand to your procurement, legal, and information-security teams.

The Executive Summary Word document is a one-page sign-off artifact — recommendation (Approved / Conditional / Rejected), top three risk flags, top three strengths, sign-off block. The detailed Excel workbook is the working assessment instrument: 30 questions across six weighted categories, with evidence guidance, regulatory call-outs, and an auto-summing scoring sheet. Both are AI-assisted drafting aids intended to accelerate review by qualified practitioners.

What you get

• ✓ Four deliverables, three jobs: Executive Summary (.docx) for board sign-off, Detailed Workbook (.xlsx) for the working scoring (with the Evidence Request List on a dedicated tab inside it), Procurement Checklist (.xlsx) for foundational readiness — no overlap, no confusion.
• ✓ Aligned to ISO/IEC 42001:2023 Annex A or NIST AI Risk Management Framework — your choice. Every question carries the framework reference and (where applicable) jurisdiction-critical regulatory call-outs.
• ✓ Excel formulas auto-sum each category total, calculate the weighted overall percentage, and surface Pass / Conditional / Reject thresholds — procurement teams don't have to re-key or re-calculate.
• ✓ Tailored to the vendor's product category, your industry, jurisdiction, and organisation size — not a generic checklist. Designed for review and sign-off by qualified procurement, legal, or information-security practitioners.

Ready to generate?

$29 · one-time — answer a 6-question intake (including jurisdiction = CN), and download your tailored document immediately.

Also available framed for your sector → see industry-specific pages