Course description

This course provides in-depth guidance on implementing ISO/IEC 42001:2023, the first international management system standard for Artificial Intelligence (AI). Designed for organizations that develop, deploy, or use AI systems, ISO 42001 sets out a framework for responsible AI governance, risk management, transparency, and continuous improvement. Participants will learn how to operationalize AI ethics, manage lifecycle risks, and align with evolving regulatory expectations.

What You’ll Learn

By the end of the course, you will be able to:

• Understand the scope, terminology, and structure of ISO/IEC 42001:2023.

• Establish and maintain an AI Management System (AIMS) aligned with organizational strategy.

• Apply principles of trustworthy and responsible AI across the lifecycle.

• Conduct AI-specific risk assessments, impact assessments, and conformity evaluations.

• Define accountability, roles, and oversight structures for AI governance.

• Implement controls for data quality, bias mitigation, explainability, and traceability.

• Align AIMS with legal, regulatory, and ethical frameworks (e.g., EU AI Act, OECD AI Principles).

• Monitor AI system performance, incidents, and continual improvement mechanisms.

• Integrate AI governance into existing management systems (e.g., ISO 27001, ISO 9001).

• Prepare for internal audits or third-party certification of AI governance systems.

Who Should Attend

• AI Project Leaders and Data Scientists

• Chief AI Officers and Tech Governance Teams

• Compliance, Risk, and Ethics Officers

• CTOs, CIOs, and Digital Transformation Leaders

• AI Solution Developers and Product Managers

• Legal, Regulatory, and Quality Professionals in AI fields

• Consultants in AI governance, trust, and auditing

Recommendations

• Familiarity with AI system development, ML models, or data governance is helpful

• No prior ISO 42001 experience is required

• Strong fit for organizations building or deploying high-impact AI application