ISO/IEC 42001

ISO/IEC 42001 Information Technology — Artificial intelligence — Management system

Information Technology — Artificial intelligence — Management system

Information Technology — Artificial intelligence — Management system

Red Overlay
ISO/IEC 42001 Information Technology — Artificial intelligence — Management system
ISO/IEC 42001 Information Technology — Artificial intelligence — Management system
Red Overlay

Register to be the first to know when ISO/IEC 42001 launches

ISO/IEC 42001:2023 Information Technology — Artificial intelligence — Management system

What is ISO/IEC 42001 – Artificial intelligence management system about?

As the adoption of AI systems becomes more widespread, ISO/IEC 42001:2023 provides a certifiable AI management system framework within which AI products can be developed as part of an AI assurance ecosystem. The endgame is to help businesses and society get the most benefit from AI and reassure stakeholders that their systems are being developed responsibly.  

What’s happened and why?

As AI becomes more popular, the need for a robust AI governance framework has led the international standards community to produce ISO/IEC 42001:2023.

What does ISO/IEC 42001:2023 cover?

It specifies requirements and gives guidance on establishing, implementing, maintaining and continually improving an AI management system. ISO/IEC 42001:2023 can help organizations develop or use AI systems responsibly in pursuit of their objectives while meeting regulatory requirements, as well as the obligations and expectations of interested parties.

Why use ISO/IEC 42001:2023?

ISO/IEC 42001:2023 exists to help businesses and society at large, to safely and efficiently, derive the maximum value from the use of AI. As such, the standard can help users to:

  • Improve the quality, security, traceability, transparency and reliability of AI applications as well as solve some implementation challenges;
  • Build greater confidence in AI systems;
  • Reduce the costs of AI development;
  • Maintain regulatory compliance;
  • Meet customer, staff and other stakeholder expectations around the ethical and responsible use of AI; and
  • Improve efficiency and risk management.