Framework
ISO/IEC 42001:2023 — Artificial Intelligence Management System
The first international standard specifying requirements for establishing, implementing, maintaining and continually improving an AI management system within an organisation.
ISO/IEC 42001:2023 is the first international AI management system standard. It provides a structured framework for organisations to govern AI throughout its lifecycle — from policy and risk assessment to operational controls and continual improvement — and can be integrated with existing ISO management systems such as ISO/IEC 27001 and ISO 9001.
Standard, management system and certification are not the same thing
ATLAS separates three distinct concepts:
- Standard. ISO/IEC 42001:2023 is the published specification. It is a normative document.
- Management system. An AI management system (AIMS) is the organisation’s implementation of the standard: policy, roles, risk assessment, controls and documented information.
- Certification. Certification is granted by an accredited certification body after an audit of the management system. It is a property of the organisation’s system and audit outcome, not of the standard itself.
Saying that ISO/IEC 42001 is “a certifiable standard” is imprecise shorthand; the standard specifies requirements that a management system can be certified against.
Key requirements
| Clause | Focus | What it demands |
|---|---|---|
| Context of the organisation (Clause 4) | External and internal factors, stakeholder needs | Define the scope of the AI management system, identify interested parties and determine their requirements |
| Leadership (Clause 5) | Policy, roles, responsibilities | Establish an AI policy, assign accountability and ensure resources and communication |
| Planning (Clause 6) | Risk and opportunity | Conduct AI risk assessment, define objectives and plan actions to address risks and opportunities |
| Support (Clause 7) | Resources, competence, awareness, documentation | Provide adequate resources, train personnel, maintain documented information |
| Operation (Clause 8) | AI system lifecycle | Implement controls for design, development, deployment and operation of AI systems |
| Performance evaluation (Clause 9) | Monitoring, audit, management review | Monitor AI system performance, conduct internal audits and review management system effectiveness |
| Improvement (Clause 10) | Nonconformity and corrective action | Address incidents, implement corrective actions and continually improve the AI management system |
ATLAS connection
ISO/IEC 42001 provides the governance and lifecycle structure that ATLAS operationalises. Where ATLAS identifies specific risk-coordinate pairs (exposure path → control → evidence), ISO/IEC 42001 provides the management system wrapper that makes those pairs auditable. The Approved AI Tool Register and Data Classification Before AI Use controls support ISO/IEC 42001 operational requirements.
Official source: ISO/IEC