ISO 42001 Annex A Controls Explained

This course contains the use of artificial intelligence. Led by Dr. Amar Massoud, a seasoned expert with decades of academic and professional experience, it combines cutting-edge AI support with human insight to deliver content that is precise, practical, and easy to follow. You’ll gain the clarity of structured learning and the confidence of being guided by a recognized authority.

ISO/IEC 42001:2023 is the world’s first international standard for AI Management Systems (AIMS), providing a robust framework for governing AI systems ethically, securely, and transparently. In this course, we provide a comprehensive walkthrough of all Annex A controls, ensuring you understand their intent, scope, and real-world application.

Whether you're preparing for an audit, building AI compliance programs, or enhancing organizational accountability, this course will equip you with practical knowledge and tools. Each control is explained with slide notes, control checklists, InfoSure Ltd. use-case examples, and audit techniques. You’ll explore how to implement, assess, and document conformance for topics such as fairness, bias mitigation, AI lifecycle governance, data quality, stakeholder impact, transparency, supplier obligations, and responsible use.

What You’ll Learn:

• Understand the purpose and scope of each Annex A control in ISO/IEC 42001

• Apply controls across the AI lifecycle—from data acquisition to model deployment and monitoring

• Conduct gap assessments and audits using structured templates and checklists

• Map Annex A requirements to real-world AI systems using model company examples

Key Features:

• Fully aligned with ISO/IEC 42001:2023

• Practical examples using the fictional company InfoSure Ltd.

• Downloadable templates for audit readiness and implementation

• AI governance concepts tailored for auditors, developers, and compliance professionals

This course is ideal for professionals working in AI governance, compliance, auditing, risk management, AI ethics, and quality assurance. It’s also a powerful resource for AI developers and solution architects seeking to align their systems with international best practices.

By the end of this course, you’ll not only understand what each control requires—but also how to apply, verify, and continuously improve them in real-world AI contexts. Join now and take a critical step toward mastering responsible, auditable AI governance.