Guide to implementing an AI management system aligned with ISO/IEC 42001. Governance, impact assessment, and Annex A controls.
ISO/IEC 42001 is the first international standard for AI management systems. It defines requirements for the responsible development, provision, and use of AI systems within an organization.
Identify all AI systems in use, development, or planning. Include third-party models, APIs, and generative AI tools. Classify them by risk level and autonomy.
Establish an AI policy approved by top management covering ethical principles, responsible use, and accountability. Designate AI governance roles with clear responsibilities.
Assess the impact of each AI system on individuals, groups, and society. Consider biases, transparency, explainability, and effects on fundamental rights.
Controls cover governance, engineering, data, monitoring, and third-party relations. Select applicable ones based on risk and impact assessment, and document the justification.
Define AI management system performance metrics, conduct periodic internal audits, and perform management reviews. The PDCA cycle applies just as in any ISO standard.
No. It applies to any organization that develops, provides, or uses AI systems, including those using third-party AI tools.
ISO 42001 provides a management framework that facilitates regulatory conformity, but is not a direct equivalent. Both are complementary: the standard structures management and the regulation establishes legal obligations.
It is not a requirement, but highly recommended. ISO 42001 shares the high-level structure (HLS) and many controls overlap. An existing ISMS significantly accelerates implementation.
Assessment within 72 business hours. ISO methodology. No ties to certification bodies.
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