Artificial Intelligence

AI governance has moved quickly from a research topic to a compliance requirement. ISO/IEC 42001 is the first international management system standard for artificial intelligence, giving organizations a certifiable framework for governing how AI systems are developed, deployed and monitored. This domain covers that standard alongside AI risk management, and is aimed at anyone whose organization is deploying AI and needs to demonstrate it is doing so responsibly.

Courses

7

Standards

2

Languages

11

From

€390

Who this is for

  • Professionals establishing AI governance in their organization
  • Risk and compliance staff assessing AI systems
  • Data science and engineering leads accountable for responsible deployment
  • Auditors preparing to assess AI management systems

Standards in this category

AI RiskISO/IEC 42001

Credential levels available

FoundationLead AuditorLead ImplementerLead Manager

Not sure which level fits your role, or what experience a designation requires? See the full certification-criteria reference →

Frequently asked questions

What is ISO/IEC 42001?

ISO/IEC 42001 is the international standard specifying requirements for an artificial intelligence management system. It provides a structured approach to governing AI across its lifecycle — risk assessment, impact assessment, roles and accountability, data governance and continual monitoring. It is a certifiable requirements standard, so organizations can be audited against it.

Does ISO/IEC 42001 satisfy the EU AI Act?

Not automatically. The EU AI Act is legislation with its own obligations that vary by risk classification, while ISO/IEC 42001 is a voluntary management system standard. That said, an AI management system built to ISO/IEC 42001 addresses much of the governance, risk assessment and documentation work the Act requires, so it is a substantial head start rather than a substitute.

Who should take the AI Risk Lead Manager course?

It suits professionals responsible for identifying and treating risk arising from AI systems specifically — bias, explainability, robustness, data quality and misuse — as distinct from managing the overall AI management system. Risk and compliance professionals extending into AI are the typical audience.

Do I need a technical or machine learning background?

No. These are governance and management courses, not engineering courses. They assume you work alongside AI systems rather than build them. A general understanding of what AI systems do is useful; the ability to build one is not required.

Where should I start?

Foundation for the concepts and vocabulary, then Lead Implementer to establish the management system or Lead Auditor to assess one.