ISO/IEC 42001:2023 Lead Auditor Conversion (Classroom & Asynchronous)
About This Course
The ISO/IEC 42001:2023 Lead Auditor Conversion Course is designed for experienced auditors who want to expand their expertise into the rapidly evolving field of Artificial Intelligence (AI) governance. This course is ideal for professionals who are already certified as lead auditors in other ISO standards and are looking to gain the skills necessary to audit Artificial Intelligence Management Systems (AIMS) effectively.
Through this course, you’ll gain an in-depth understanding of ISO/IEC 42001:2023, the first international standard for managing AI systems. You'll explore key concepts such as AI lifecycle management, AI-related risks, ethical governance, and how these fit into the broader context of quality management. You’ll also learn to apply ISO audit principles to the unique challenges of AI systems, ensuring that they comply with industry standards and ethical considerations.
Whether you are an internal auditor, a consultant, or a compliance officer, this course equips you with the tools to assess AI systems' governance, transparency, fairness, and performance. You'll leave with the confidence to conduct AI audits, identify system vulnerabilities, and recommend actionable improvements that align with both organizational goals and regulatory requirements. This course is a must for anyone looking to stay ahead in the dynamic field of AI governance.
What You'll Learn
* Understand key AI concepts and governance frameworks to assess AI systems effectively, ensuring familiarity with AI lifecycle stages, terminology, and stakeholder roles in line with ISO/IEC 22989:2023.
* Interpret ISO/IEC 42001:2023 requirements for Artificial Intelligence Management Systems (AIMS), enabling auditors to evaluate the application of the standard across AI systems and align them with organizational needs and regulatory obligations.
* Apply ISO auditing methodologies (ISO 19011 and ISO/IEC 17021) to structure and manage AI system audits, including audit planning, evidence collection, stakeholder interviews, and reporting in an AI context.
* Identify AI system risks and ethical concerns such as fairness, transparency, and data governance, integrating these into audit evaluations to ensure responsible and ethical AI deployment.
* Provide strategic insights and actionable recommendations by assessing AI system performance, identifying nonconformities, and proposing solutions to improve governance, compliance, and system effectiveness in line with organizational goals.
* Prepare for ISO/IEC 42001 certification by aligning internal audit practices with external certification requirements, ensuring audit readiness and supporting successful AI certification processes.
Entry Requirements
• Certified Lead Auditor in other ISO standards such as ISO 9001 or ISO/IEC 27001
• Aged 21 and above;
• Have minimum GCE “N”, “O” or “A” Level / NITEC or a diploma qualification and minimum 1 year of working experience; and
• Have an English language proficiency equivalent or higher of any of the following - GCSE N/O Levels pass in English / WPLN Level 5 / IELTS 5.5 / TOEFL (internet based total) 46-59.