AI Governance for Organizations: Implementing the ISO 42001 Standard

As organizations rapidly adopt artificial intelligence, managing the associated ethical, operational, and compliance risks becomes a critical priority. Without a structured framework, AI initiatives can lead to unintended bias, privacy violations, and regulatory penalties. This text-only course provides a clear, practical pathway to establishing a formal AI Management System (AIMS) that aligns with the international ISO 42001 standard. You will transition from understanding basic AI risks to actively designing and maintaining a compliant governance structure. Through written explanations, structured analysis, and practical scenarios, you will learn how to integrate accountability directly into your technology workflows. What you'll learn: Understand the foundational principles of AI governance and the core structure of the ISO 42001 standard; Identify and assess risks unique to AI systems, including algorithmic bias, data lineage, and security vulnerabilities; Establish organizational policies, roles, and controls to manage AI systems responsibly throughout their lifecycle; Apply ethical AI frameworks and transparency guidelines to modern applications, including generative AI models; Configure continuous monitoring, evaluation, and documentation processes to maintain ongoing compliance. The course begins with key terminology, foundational definitions of risk, and an introduction to international standards. From there, you will explore the specific clauses of ISO 42001, learning how to draft policies, assign organizational roles, and implement practical controls. This course is designed for beginners, business leaders, compliance officers, and IT professionals who need to understand or implement AI governance. No prior experience with ISO standards or AI engineering is required. Start building a responsible and compliant AI strategy for your organization today.