AI Compliance Checklist
Walk the essentials of responsible, compliant AI — data handling, human oversight, auditability and more — and see your gaps.
Twelve essentials of responsible, defensible AI. Choose the honest answer.
Questions about the AI Compliance Checklist
The essentials of responsible, defensible AI: data handling and residency, human oversight of consequential decisions, auditability and logging, access controls, and clear accountability. It highlights where your current AI use has gaps against those fundamentals.
No — it surfaces gaps to discuss with your governance, privacy and legal teams; it is not a certification or legal advice. Compliance depends on your obligations and how each use case is governed, which is what a proper review or an AI Readiness Workshop addresses.
It reflects widely recognised responsible-AI principles — the kind found in the NZ Privacy Act, the NIST AI Risk Management Framework, ISO/IEC 42001 and the OECD AI Principles — translated into plain, practical checks rather than a standard to certify against.
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