ISO/IEC 42001: AI Management Systems in Practice

Purpose and scope

ISO/IEC 42001 specifies requirements for establishing, implementing, maintaining and continually improving an artificial intelligence management system (AIMS). It is a management-system standard: it helps an organization define how AI-related responsibilities, risks and impacts are governed within a stated scope. The standard does not determine whether a particular AI use is lawful, safe or appropriate in every jurisdiction.

Integrate AI into governance

Set the AIMS scope, policy, objectives, roles and decision rights in relation to the organization's activities and AI use. Identify relevant interested parties, intended uses, affected groups, internal capabilities and external dependencies. Connect AI governance to existing risk, privacy, security, quality, procurement and product-lifecycle processes rather than running a parallel control program. The organization should determine where it develops, provides, integrates or uses AI systems and what responsibilities follow.

Manage risks and impacts

Establish repeatable processes to identify and assess AI-related risks and impacts, determine treatment actions, and retain evidence for decisions. Operational governance can cover data quality and provenance, human oversight, testing, change management, supplier interfaces, incident handling, monitoring and retirement, as relevant to scope and context. Assign accountable owners for each lifecycle stage and define escalation paths when performance, risk or intended use changes.

Decisions and measures

Measure completion of impact and risk assessments, unresolved high-priority actions, data and model change traceability, monitoring coverage, incidents, human-review exceptions and supplier dependencies. Use measures to support decisions, not as a substitute for evaluating affected people or context. Review objectives and controls when AI use, technology, stakeholders or external obligations change.

Boundaries

An AIMS does not guarantee an AI system's accuracy, fairness, safety or regulatory compliance. Certification, where sought, is a separate conformity-assessment activity. Define the scope and communicate what is and is not covered; do not claim that a management-system certificate validates every AI model or use case.