AI Governance Dashboard 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 Governance Dashboard approaches this

You describe your organisation — jurisdiction, industry, staff size, risk appetite, AI tools currently in use — and answer an 8-question self-assessment covering Structure (governance body + RACI), Foundations (AI tool register + AI usage policy), Operational (KPI tracking + training programme), and Assurance (board reporting + policy/audit schedule). The tool produces a complete, structured governance programme tailored to that context, sized to your maturity stage, and ready for board / leadership review.

The Executive Summary Word document is a one-page sign-off artefact for board / exec review with three visual charts. The PowerPoint board pack is a 7-slide deck designed to drop straight into your next leadership meeting deck without modification. The Excel workbook is the working operational instrument that lives with the AI Governance Champion: assign owners on the RACI sheet, track 90-day roadmap actions, set Current Baseline values on the 12 KPIs, populate the quarterly Board Report template, and watch the live Dashboard radar + doughnut refresh as you make progress. All three artefacts are AI-assisted drafting aids intended to accelerate review by qualified governance, compliance, and sector-regulatory practitioners — not replace them.

What you get

• ✓ Three artefacts, three jobs: Executive Summary (.docx) for sign-off, Board Pack (.pptx) for the next leadership meeting, Operational Workbook (.xlsx) for the AI Governance Champion — same governance programme, same source of truth, no fragmentation across tools.
• ✓ Live-formula Dashboard with native Excel radar (governance maturity by domain) + doughnut (overall completion %) — toggling a Status cell anywhere in the Roadmap or KPI Dashboard recomputes both charts without regeneration. The user-edited Intake Answers sheet drives the radar, so the dashboard reflects the customer's self-assessment as it evolves over the programme.
• ✓ Right-sized to your maturity stage: the recommended structure for a 11–50 staff organisation is a single AI Governance Champion, not a full board committee. For 1,000+ staff, the workbook recommends a multi-tier governance structure with board sub-committee, cross-functional working group, and embedded champions — sized to what your organisation can realistically sustain.
• ✓ Anchored to recognised governance standards across all 10 sheets: NIST AI RMF GOVERN-1.x and MEASURE-1.x function tiers, ISO/IEC 42001:2023 Clauses 5–9 (leadership / planning / support / operation / performance evaluation), with sector-specific regulator overlays (FCA Consumer Duty, ICO accountability principle, EU AI Act Art. 4 AI literacy, FDA Good Machine Learning Practice, NYDFS Cybersecurity Regulation 23 NYCRR 500.16, and others as applicable to your jurisdiction × industry).

Ready to generate?

$59 · 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