AI Governance and Management: Implementing ISO 42001 and ISO 23894

As organizations rapidly adopt artificial intelligence, establishing structured governance is crucial for safety, compliance, and trust. This text-based course guides you through the foundational standards of AI management, helping you align your organizational strategies with recognized international frameworks. By reading and studying this course, you will understand how to design, implement, and maintain an AI Management System (AIMS) that balances innovation with risk mitigation. You will gain the confidence to translate complex standards into actionable policies. What you'll learn: Understand the fundamental terminology and structural requirements of ISO 42001 for AI management systems; Apply risk management principles outlined in ISO 23894 to identify and assess AI-specific vulnerabilities; Establish clear organizational policies for ethical AI deployment, data governance, and bias mitigation; Define key performance indicators to monitor and continuously improve AI system performance and safety; Prepare compliance documentation and audit trails that align with modern regulatory expectations. The course begins with foundational definitions of AI governance before diving into the core requirements of ISO 42001. You will then explore risk assessment methodologies under ISO 23894 and learn how to integrate these frameworks into a cohesive management strategy. This course is designed for business leaders, compliance officers, and IT professionals who are new to AI governance, with no prior experience with ISO standards required. Start reading today to build a responsible and compliant foundation for your organization's AI initiatives.