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Audit Criteria in ISO IEC 42001 2023 - Artificial intelligence — Management system v1 Dataset

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Ensure robust, compliant, and future-ready AI governance with our comprehensive self-assessment dataset aligned to ISO/IEC 42001:2023. Designed for organisations navigating the complexities of artificial intelligence management systems (AIMS), this resource empowers leaders, risk managers, and compliance professionals to confidently implement, evaluate, and audit AI governance frameworks in line with international best practice.

  • Interpret key clauses of ISO/IEC 42001:2023 within the context of your existing governance, risk, and compliance (GRC) infrastructure, ensuring seamless integration with standards such as ISO 31000 and the NIST AI RMF
  • Assess organisational readiness by evaluating current AI inventories, data governance maturity, and stakeholder accountability—identifying critical gaps and alignment opportunities
  • Clarify mandatory versus discretionary controls based on your sector, scale, and the criticality of AI applications, enabling risk-proportionate implementation
  • Define clear accountability structures in accordance with Clauses 5 (Leadership) and 6 (Planning), including RACI matrices and escalation protocols for high-risk AI decision-making
  • Navigate jurisdictional complexity by identifying where local regulations may exceed ISO requirements, ensuring compliance across global operations
  • Map interactions with other management systems such as ISO 27001 (information security) and ISO 9001 (quality), supporting integrated audit and assurance processes

From board-level engagement to technical oversight, this self-assessment enables you to build a defensible, transparent, and ethical AI governance framework. Whether you’re preparing for certification, managing third-party AI risk, or strengthening organisational resilience, this toolkit delivers practical clarity and actionable insights.

Take control of your AI governance journey—download the ISO/IEC 42001:2023 Audit Criteria self-assessment dataset and align your organisation with global best practice today.