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Training content
Overview
ISO/IEC 42001 Information Technology Artificial Intelligence Management System Transition Training is designed to enable organisations to align their existing management, risk, information security and artificial intelligence governance practices with the requirements of ISO/IEC 42001:2023, establish an Artificial Intelligence Management System (AIMS) and prepare effectively for the certification process.
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, comparison of existing systems with AIMS requirements, artificial intelligence governance, AI risk and impact assessments, data management, the AI system life cycle, transparency, human oversight, Annex A controls, gap analysis and transition planning.
Who Should Attend?
- Managers responsible for the artificial intelligence management system
- Information technology and information security personnel
- AI governance and compliance teams
- Risk and quality managers
- Data science and artificial intelligence teams
- Internal auditors
- Management system personnel
- Personnel of organisations preparing for ISO/IEC 42001 certification
- Consultants and process owners
Objectives and Outcomes
The aim is to enable participants to understand the requirements of ISO/IEC 42001, identify gaps between current practices and the requirements of the standard, plan the necessary actions, and systematically manage the organisation’s transition to ISO/IEC 42001.
By the End of the Training
Participants will be able to:
- Explain the structure and requirements of the ISO/IEC 42001:2023 standard.
- Compare current artificial intelligence governance practices with AIMS requirements.
- Plan AI risk and impact assessments.
- Evaluate AI system life cycle controls.
- Determine data management requirements.
- Assess the applicability of Annex A controls.
- Conduct an ISO/IEC 42001 gap analysis.
- Develop a transition action plan.
- Update documentation and responsibilities.
- Plan activities in preparation for the certification audit.
Programme and Method
Training Topics
- Overview of the ISO/IEC 42001:2023 Standard
- Artificial Intelligence Management System (AIMS)
- Artificial Intelligence Concepts and Terminology
- Transition from Existing Management Systems to AIMS
- Context of the Organisation and Scope of AIMS
- Needs and Expectations of Interested Parties
- Leadership and Artificial Intelligence Policy
- Roles, Responsibilities and Accountability
- Management of AI Risks and Opportunities
- AI Risk Assessment
- AI Risk Treatment Approach
- 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
- Privacy and Information Security
- Third-Party and AI Supplier Management
- ISO/IEC 42001 Annex A Controls
- Overview of Annex B, Annex C and Annex D
- Performance Monitoring and Measurement
- Internal Audit and Management Review
- Nonconformity and Corrective Action
- Continual Improvement
- Integration with ISO/IEC 27001
- Integration with ISO/IEC 27701
- Integration with ISO 9001
- Gap Analysis for the Existing System
- Identification of Transition Requirements
- Development of the Transition Action Plan
- Updating Documentation
- Determination of Responsibilities and Resources
- Planning Staff Awareness and Competence
- Preparation for Internal Audit and Management Review
- Preparation for the ISO/IEC 42001 Certification Audit
- Case Studies and Transition Scenarios
Training Method
The training is delivered through presentations, evaluation of ISO/IEC 42001 requirements, comparison of the existing system with AIMS requirements, gap analysis, examples of AI risk and impact assessments, Annex A control exercises and transition plan activities.
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 pass mark 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 Transition Training suitable for?
It is intended for relevant personnel of organisations seeking to align their existing management, information security, risk or artificial intelligence governance practices with ISO/IEC 42001 requirements and prepare for the AIMS certification process.
What is the main objective of the training?
To enable participants to compare their existing systems against ISO/IEC 42001 requirements, identify gaps and develop a practical transition plan for their organisation.
What should be done first during the transition process?
A gap analysis should be conducted by comparing the organisation's existing AI governance, risk, data management and control practices against ISO/IEC 42001 requirements, and the necessary actions should be prioritised.
Does the training include practical exercises?
Yes. The training includes practical exercises on gap analysis, AI risk and impact assessment, Annex A control assessment and developing a transition plan.
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 23894:2023 Artificial Intelligence — Guidance on Risk Management
- ISO/IEC 22989:2022 Artificial Intelligence — Concepts and Terminology
- ISO/IEC 42006:2025
- ISO/IEC 27001 Information Security Management Systems
- ISO/IEC 27701 Privacy Information Management Systems
- ISO 19011 Guidelines for Auditing Management Systems
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