Basic understanding of Artificial Intelligence (AI) concepts, risks, and applications.
Familiarity with ISO management system standards (like ISO 9001, ISO/IEC 27001).
Knowledge of basic auditing principles (ISO 19011 is helpful).
Good communication and writing skills in the training language (usually English).
Recommended: work experience in IT, risk, compliance, or management systems.
Normally 4–5 days (32–40 hours) of classroom or online training.
Includes lectures, case studies, role plays, group work, and a final exam.
After completing the course, participants should be able to:
Understand the requirements of ISO/IEC 42001:2023.
Apply AI governance, ethics, and risk management principles.
Plan, conduct, and manage AI management system audits.
Report audit findings and manage corrective actions.
Lead an audit team as a qualified Lead Auditor.
Written Exam: Knowledge of ISO/IEC 42001 and auditing skills.
Practical Evaluation: Performance in exercises, role plays, and case studies.
Attendance: Full participation (usually 100%) is mandatory.
On successful completion, participants receive an ISO/IEC 42001:2023 Lead Auditor Certificate.
Some providers issue certificates accredited by IRCA, Exemplar Global, or equivalent.
Introduction to ISO/IEC 42001:2023 and AI Management Systems
Structure, principles, and terminology of ISO/IEC 42001
Context of the organization and stakeholder requirements
Leadership, governance, and ethical principles for AI
AI risk management, transparency, accountability, and trustworthiness
Planning and implementing an AI management system (AIMS)
Support, resources, competence, and awareness
Operation and control of AI systems and processes
Performance evaluation, monitoring, and continual improvement
Introduction to auditing principles (ISO 19011)
Types of audits: internal, external, certification
Audit planning and preparation
Conducting an audit: methods, interviews, and evidence collection
Audit reporting, findings, and nonconformities
Managing an audit team and lead auditor responsibilities
Follow-up activities and continual improvement in audits
Practical case studies and role-play exercises
Final examination and certification requirements
After completing the course, participants should be able to:
Understand the requirements of ISO/IEC 42001:2023.
Apply AI governance, ethics, and risk management principles.
Plan, conduct, and manage AI management system audits.
Report audit findings and manage corrective actions.
Lead an audit team as a qualified Lead Auditor.
ISO/IEC 42001 is the world's first AI management system standard, providing valuable guidance for this rapidly changing field of technology. It addresses the unique challenges AI poses, such as ethical considerations, transparency, and continuous learning.
ISO/IEC 42001 is the world's first AI management system standard, providing valuable guidance for this rapidly changing field of technology. It addresses the unique challenges AI poses, such as ethical considerations, transparency, and continuous learning.
ISO/IEC 42001 is the world's first AI management system standard, providing valuable guidance for this rapidly changing field of technology. It addresses the unique challenges AI poses, such as ethical considerations, transparency, and continuous learning
ISO/IEC 42001 is the world's first AI management system standard, providing valuable guidance for this rapidly changing field of technology. It addresses the unique challenges AI poses, such as ethical considerations, transparency, and continuous learning
ISO/IEC 42001:2023 (Artificial intelligence — Management system) Lead Auditor Training Course
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