ISO 42001, the AI management standard,explained

What ISO 42001 is

ISO/IEC 42001, published in 2023, is the international standard for an artificial intelligence management system. It was created because AI raises governance questions that information-security standards do not fully cover, such as how models are trained, how decisions are explained, and how human oversight is maintained.

Like ISO 27001, it is certifiable. An accredited certification body audits your management system and, if you pass, issues a certificate, with surveillance audits in between.

What an AI management system covers

An AIMS wraps your AI work in a governed lifecycle. The standard sets out management-system requirements and a set of AI-specific controls, covering areas such as:

• AI policy, roles, and accountability for AI systems.
• AI risk assessment and AI impact assessment, including effects on individuals and society.
• Data and model governance across the AI lifecycle.
• Transparency and information provided to users about AI systems.
• Human oversight and the ability to intervene.
• Monitoring, logging, and continual improvement of AI systems.

How it relates to ISO 27001

ISO 42001 uses the same management-system structure as ISO 27001, the shared format ISO uses across its management standards. That means the governance backbone, risk process, internal audit, and management review look familiar if you already run an ISMS.

The two are complementary: ISO 27001 governs information security, ISO 42001 governs responsible AI. Where they overlap, such as risk management and access control, the work can be reused rather than duplicated.

Why it matters now

AI governance is moving from optional to expected. Regulation such as the EU AI Act is raising the bar, and buyers are starting to ask how the AI in your product is governed. ISO 42001 gives you a recognised, auditable way to answer that, and to show customers and regulators that responsible AI is a managed process rather than a promise.

How to approach it

1. 1Inventory the AI systems you build or use, and the risks each one carries.
2. 2Set your AI policy, roles, and the scope of your management system.
3. 3Run AI risk and impact assessments, and put controls against the findings.
4. 4Reuse your ISO 27001 governance and risk work where the two overlap.
5. 5Maintain evidence and review it, so you stay audit-ready for certification and surveillance.