International · Certifiable standard
ISO/IEC 42001 evidence for your AI management system
ISO/IEC 42001:2023 is the international standard for an AI management system (AIMS). It follows the familiar ISO management-system structure and can be certified by accredited bodies. Auditors look for evidence that risks and impacts are assessed and that controls actually operate.
What the ISO/IEC 42001 asks of AI systems
The obligations most relevant to bias, risk, and accountability, summarised from the ISO/IEC 42001:2023 AI management system.
- Cl. 6Planning
- AI risk assessment, risk treatment, and AI system impact assessment.
- Cl. 8Operation
- Operate the planned processes and keep evidence that they ran.
- Cl. 9Performance evaluation
- Monitoring, measurement, internal audit, and management review.
- Cl. 10Improvement
- Nonconformity, corrective action, and continual improvement.
- Annex AControls
- Reference controls covering data, lifecycle, impact assessment, and third parties.
Evidence FairMind helps you produce
FairMind links technical evidence to ISO/IEC 42001 obligations for a human reviewer to accept. It is not legal advice and does not decide compliance.
- Impact and risk assessment records per AI system
- Evaluation evidence showing controls operated, not only that they exist
- Corrective actions linked to retests
- Exportable packages for internal and certification audits
ISO/IEC 42001 questions
Does FairMind certify ISO/IEC 42001?
No. Certification comes from an accredited certification body. FairMind helps you produce and organise the operating evidence that an audit reviews.
How does ISO/IEC 42001 relate to the EU AI Act?
They overlap heavily on risk management, data governance, and documentation. Evidence collected once can support both when a reviewer accepts the mapping.