Course Overview
This five-day training course provides an in-depth understanding of ISO/IEC 42001:2023 and the auditing principles required to assess an Artificial Intelligence Management System (AIMS). It covers AI and Machine Learning fundamentals, including Generative AI, discriminative AI, ethical considerations, regulatory requirements, and the purpose, scope, structure, and benefits of the standard.
Participants explore Clauses 4–10, Annex A controls, documented information requirements, and related standards such as ISO/IEC 22989:2022, ISO/IEC 23053:2022, and ISO/IEC 23894:2023. The course also addresses ISO 19011 auditing principles, audit planning, risk-based auditing, evidence collection, nonconformity identification, audit reporting, and follow-up activities.
The programme concludes with a comprehensive examination, discussion of answers, and participant feedback.
Course Objective
- Explain AI and Machine Learning concepts, including Generative AI and discriminative AI.
- Describe the purpose, scope, structure, and benefits of ISO/IEC 42001:2023.
- Interpret Clauses 4–10 and understand the requirements of an AIMS.
- Explain the application of Annex A controls and documented information requirements.
- Identify the relationship between ISO/IEC 42001 and related AI standards.
- Apply ISO 19011 auditing principles and understand auditor responsibilities.
- Develop audit objectives, scope, criteria, plans, and checklists.
- Conduct risk-based audits focusing on AI-specific risks and controls.
- Collect and verify audit evidence, document findings, and prepare audit reports.
- Manage audit follow-up, corrective actions, nonconformities, and audit programme improvement.
Pre-requisites
- Basic understanding of Artificial Intelligence (AI) and its applications is recommended.
- Familiarity with management systems, risk management, and ISO standards is beneficial.
- Prior experience with internal auditing or compliance activities is helpful.
- No prior experience implementing ISO/IEC 42001 is mandatory.
Course Curriculum
