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Training content
Overview
ISO/IEC 42001 Information Technology Artificial Intelligence Management System Auditor Training has been designed to provide the knowledge and auditor skills required to interpret the requirements of ISO/IEC 42001:2023 correctly, assess the effectiveness of Artificial Intelligence Management Systems, and plan, conduct, report and follow up audits in accordance with the standard.
The language of the training is Turkish. The training is delivered online.
About the Training
The training covers the structure of the ISO/IEC 42001:2023 standard, artificial intelligence governance, the context of the organisation, leadership, AI policy, the management of risks and opportunities, AI risk assessment, AI impact assessment, the data and system life cycle, responsible use of artificial intelligence, transparency, accountability, human oversight, performance evaluation, Annex A controls and auditing techniques.
Who Should Attend?
- ISO/IEC 42001 auditors and auditor candidates
- Management system auditors and lead auditors
- Internal auditors
- Artificial intelligence governance and compliance personnel
- Information technology and information security managers
- Risk and compliance managers
- Personnel involved in the development and implementation of AI systems
- Technical personnel of certification bodies
- Data science and artificial intelligence team leaders
- Consultants assessing ISO/IEC 42001 systems
Objectives and Outcomes
The aim is to enable participants to correctly interpret the requirements of ISO/IEC 42001:2023, assess risks and opportunities associated with artificial intelligence, identify objective audit evidence within the scope of AIMS, and conduct effective, systematic and impartial ISO/IEC 42001 audits.
By the End of the Training
Participants will be able to:
- Explain the structure and scope of the ISO/IEC 42001:2023 standard.
- Interpret the fundamental principles of an Artificial Intelligence Management System.
- Assess the organisation's AI context and the expectations of relevant interested parties.
- Examine AI risk and opportunity management processes.
- Evaluate AI risk and impact assessments.
- Examine the life cycle controls of artificial intelligence systems.
- Evaluate the control objectives and controls in Annex A.
- Audit transparency, accountability and human oversight practices.
- Relate objective audit evidence to the requirements of the standard.
- Report audit findings and nonconformities clearly and accurately.
Programme and Method
Training Topics
- Overview of the ISO/IEC 42001:2023 Standard
- Artificial Intelligence Concepts and Terminology
- Artificial Intelligence Management System (AIMS)
- Context of the Organisation and Interested Parties
- Leadership and Artificial Intelligence Policy
- Roles, Responsibilities and Accountability
- Management of AI Risks and Opportunities
- AI Risk Assessment
- AI System Impact Assessment
- AIMS Objectives and Planning
- Competence, Awareness and Communication
- Management of Documented Information
- Artificial Intelligence System Life Cycle
- Data Management and Data Quality
- Bias, Fairness and Ethical Considerations
- Transparency and Explainability
- Human Oversight and Intervention
- Third-Party and Supplier Management
- ISO/IEC 42001 Annex A Controls
- Annex B Control Implementation Guidance
- Annex C AI Objectives and Risk Sources
- Performance Monitoring and Measurement
- Internal Audit and Management Review
- Nonconformity and Continual Improvement
- ISO/IEC 42006 Auditor Competence Requirements
- ISO 19011 Auditing Principles
- Audit Programme and Audit Planning
- Conducting the Audit
- Auditing AI Systems
- Evaluation of Objective Audit Evidence
- Auditor Interviewing and Sampling Techniques
- Identification and Documentation of Nonconformities
- Evaluation of Corrective Actions
- Audit Reporting and Follow-Up Activities
- Integrated Management Systems Approach
- Case Studies and Audit Scenarios
Training Method
The training is delivered through subject presentations, evaluation of ISO/IEC 42001 requirements, case studies, AI risk and impact assessments, Annex A control implementation exercises, audit scenarios, objective evidence evaluations and nonconformity writing exercises.
Attendance and Certificate
Certification Rule
A certificate of attendance is issued to all participants whose attendance has been confirmed. To receive a certificate of achievement, participants must achieve a passing grade in the examination at the end of the training; participants who use all their examination attempts but do not pass will be issued a certificate of attendance.
FAQ and Resources
Who is the ISO/IEC 42001 Information Technology Artificial Intelligence Management System Auditor Training suitable for?
It is intended for auditors, lead auditors and auditor candidates who will conduct internal or third-party audits within the scope of ISO/IEC 42001, as well as certification body personnel and professionals working in AI governance, information technology, risk and compliance.
What is the main objective of the training?
The objective is to enable participants to interpret the requirements of ISO/IEC 42001 correctly, assess artificial intelligence management systems based on objective evidence and conduct effective AIMS audits.
Which organisations can ISO/IEC 42001 be applied to?
It can be applied to public, private-sector and non-profit organisations of any size that develop, provide or use artificial intelligence-based products or services.
Does the training include practical activities?
Yes. The training includes AI risk and impact assessments, Annex A control implementation activities, audit scenarios, objective evidence assessments, case studies and nonconformity writing exercises.
Is there an examination at the end of the training?
Yes. An assessment examination is administered at the end of the training.
References
- ISO/IEC 42001:2023 Information Technology — Artificial Intelligence — Management System
- ISO/IEC 42006:2025 Requirements for Bodies Providing Audit and Certification of Artificial Intelligence Management Systems
- ISO/IEC 23894:2023 Artificial Intelligence — Guidance on Risk Management
- ISO/IEC 22989:2022 Artificial Intelligence — Concepts and Terminology
- ISO 19011 Guidelines for Auditing Management Systems
- ISO/IEC 17021-1 Conformity Assessment — Requirements for Bodies Providing Audit and Certification of Management Systems
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