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ISO 42001 · regulation pack · preview

ISO/IEC 42001 — Artificial Intelligence Management System

ISO/IEC 42001:2023 — the first international standard specifying requirements for establishing, implementing, maintaining, and continually improving an AI Management System (AIMS). Certifiable by accredited bodies; increasingly required by enterprise procurement as proof of AI governance maturity.

jurisdiction · GLOBAL version · 2023.12 effective · Dec. 18, 2023 requirements · 8
requirements — preview
4 · Clause

Context of the organization

Determine internal/external issues, interested parties, and the AIMS scope. Identifies which AI systems are in scope and the rationale for inclusion.

artifact: aims_scope_statement evidence: stakeholder_mapevidence: context_analysis
5 · Clause high-risk gate

Leadership

Top-management commitment, AI policy, and assigned roles & responsibilities across the AIMS.

artifact: ai_policyartifact: ai_committee_charter evidence: leadership_signoff
6 · Clause high-risk gate

Planning — risks, opportunities, AI objectives

Risk and opportunity assessment specific to AI, plus measurable AI objectives aligned with the policy. Includes AI Impact Assessment.

artifact: fria evidence: risk_registerevidence: ai_impact_assessment
remaining 5 requirements — locked
7 · Clause

Support — resources, competence, awareness, communication

Provide resources, train staff on AI risks, communicate roles, and manage documented information.

8 · Clause

Operation — AI system life cycle

Operational planning, AI system impact assessment, and controls applied across the lifecycle (design, development, deployment, monitoring).

9 · Clause

Performance evaluation

Monitor, measure, analyse, and evaluate. Internal audit and management review of the AIMS at planned intervals.

10 · Clause

Improvement

Nonconformity, corrective action, continual improvement. Required for certification renewal.

A.5 · Annex

Annex A — Policies for AI

Reference controls covering AI policy, internal organisation, resources, AI system impact, life cycle, data, information for stakeholders, use of AI, and third-party relationships.

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