Overview
ISO/IEC 42001:2023 - Information technology - Artificial intelligence - Management system - specifies requirements and guidance for establishing, implementing, maintaining and continually improving an AI management system (AIMS). Applicable to any organization (regardless of size or sector) that provides or uses products or services that utilize AI systems, the standard helps organizations develop, provide or use AI responsibly while meeting applicable requirements and the expectations of interested parties.
Keywords: ISO/IEC 42001, AI management system, artificial intelligence governance, AI governance standard, responsible AI
Key Topics and Requirements
ISO/IEC 42001 follows the harmonized management-system structure and addresses AI-specific management needs. Major topics include:
- Context of the organization: define scope and relevant interested parties.
- Leadership and policy: senior management commitment, AI policy, roles and responsibilities.
- Planning: risk-based planning, setting AI objectives, and planning changes.
- AI risk assessment and AI risk treatment (risk-based approach to controls).
- AI system impact assessment for decision-making, safety, fairness and other impacts.
- Support: resources, competence, awareness, communication and documented information.
- Operation: operational planning and control for AI systems, including lifecycle considerations.
- Performance evaluation: monitoring, measurement, internal audit and management review.
- Improvement: continual improvement, nonconformity and corrective actions.
Normative and informative annexes provide reference controls, implementation guidance, example risk sources and cross‑domain use guidance (Annex A–D).
Keywords: AI risk assessment, AI system impact assessment, AI controls, AI lifecycle, explainability, transparency
Practical Applications
ISO/IEC 42001 is intended to be used to:
- Establish an organizational framework for responsible AI governance.
- Integrate AI-specific controls with existing management systems (quality, security, privacy).
- Demonstrate accountability and evidence of responsible AI practices to customers, partners and regulators.
- Guide risk management for AI features such as automated decision‑making, continuous learning and limited explainability.
Typical use cases:
- Vendors developing AI products and platforms.
- Organizations deploying AI in services (finance, healthcare, public sector, manufacturing).
- Procurement, supplier management and third‑party oversight when AI components are sourced.
- Internal audit, compliance and risk teams assessing AI-related controls.
Keywords: responsible AI, AI governance, AI compliance, AI audit
Related Standards
ISO/IEC 42001 is designed to align with other management system standards and can be integrated with frameworks addressing quality, safety, security and privacy (for example, ISO 9001 and ISO/IEC 27001). It was developed by ISO/IEC JTC 1 / SC 42 (Artificial intelligence).
Keywords: management system alignment, ISO/IEC JTC 1 SC 42
For organizations seeking to formalize AI governance, ISO/IEC 42001 provides a structured, risk‑based approach to manage AI throughout its lifecycle while supporting innovation and accountability.
