International standard for Artificial Intelligence Management Systems (AIMS).
ISO/IEC 42001 is the international standard for Artificial Intelligence Management Systems (AIMS). Published in 2023, it is the first international management system standard specifically designed to address the responsible development, deployment, operation, and use of artificial intelligence systems.
The standard provides requirements for establishing, implementing, maintaining, and continually improving a management system for AI-related activities. It helps organizations manage AI-related risks and opportunities while supporting governance, transparency, accountability, security, privacy, fairness, and ethical considerations.
ISO/IEC 42001 is designed to support any organization that uses, develops, operates, procures, or manages AI systems — regardless of size, sector, or the type of AI technology involved.
Certification against ISO/IEC 42001 provides independent assurance that an organization's AI management practices conform to the requirements of the standard.
ISO/IEC 42001 certification is generally voluntary. Organizations adopt the standard to demonstrate responsible AI governance rather than in response to a specific legal mandate.
However, governments, regulators, customers, investors, and other stakeholders are increasingly expecting organizations to demonstrate that AI systems are managed through structured governance processes. As AI regulations and oversight frameworks develop globally — including the EU AI Act and emerging national frameworks — organizations may be required to demonstrate conformity with risk management and accountability requirements that align closely with those addressed by ISO/IEC 42001.
Organizations operating in sectors where AI use is subject to supervisory scrutiny — including financial services, healthcare, critical infrastructure, and public services — may find that a certified AIMS provides a recognized basis for demonstrating responsible AI governance to regulators and oversight bodies.
Certification can help demonstrate that AI-related activities are managed through a formal management system rather than through ad hoc processes, supporting both internal accountability and external assurance requirements.