This course provides a comprehensive overview of ISO/IEC 42001, the world’s first standard for AI management systems, combined with ISO/IEC 38507, which addresses the governance implications of organizational use of AI. Participants will learn how to establish, implement, maintain, and improve an AI management system, while also understanding governance responsibilities for AI deployment. Practical workshops and case studies are included to reinforce learning.

By the end of this course, participants will be able to:

• Understand the structure, scope, and requirements of ISO/IEC 42001 for AI management systems.
• Apply risk-based thinking and operational planning to AI projects.
• Recognize governance obligations for organizations adopting AI, based on ISO/IEC 38507.
• Develop policies, oversight mechanisms, and accountability structures for AI use.
• Integrate AI management system practices with broader corporate governance frameworks.

Day 1: ISO/IEC 42001 — AI Management System

• Introduction to ISO/IEC 42001 / Scope / Terms and Definitions / Context of the  Organization
• Leadership and AI Policy / Roles, Responsibilities and Authorities
• Planning Actions for AI Risks and Opportunities / AI Objectives and Planning
• Support Functions: Resources, Competence, Awareness, Communication, and  Documentation

Day 2: ISO/IEC 38507 — Governance of AI

• Governance Implications of AI / Maintaining Accountability
• Overview of AI vs Traditional IT / AI Ecosystem / Benefits and Constraints
• Policies for AI Governance: Oversight, Decision-Making, Data Use, Ethics, Compliance
• Risk Management and Culture for AI Governance / Integrating AI Management into  Organizational Governance