AI Governance and Risk Management: IAPP AIGP Study Guide

As artificial intelligence rapidly transforms industries, organizations must navigate complex ethical, legal, and safety challenges. Understanding how to govern AI systems responsibly is no longer optional—it is a critical business and compliance requirement. This text-based course provides a comprehensive introduction to AI governance, aligning with the core concepts of the IAPP Certified Artificial Intelligence Governance Professional (AIGP) body of knowledge. You will progress from foundational definitions to practical risk management strategies, preparing you to guide organizations in deploying safe, trustworthy, and compliant AI technologies. What you'll learn: Understand the core terminology, history, and foundational concepts of artificial intelligence and machine learning; Identify the key ethical issues, biases, and societal impacts associated with AI deployments; Apply established risk management frameworks, including the NIST AI Risk Management Framework and emerging global regulations like the EU AI Act; Establish AI governance structures, policies, and accountability metrics within an organization; Evaluate safety, transparency, and fairness in modern generative AI models; Practice applying compliance guidelines to real-world scenarios through written exercises. The course starts with essential definitions of AI technologies before exploring ethical principles, legal frameworks, and organizational governance strategies. You will finish with practical scenarios that reinforce how to implement these concepts in everyday business operations. This course is designed for beginners, privacy professionals, risk managers, and business leaders looking to build a strong foundation in AI governance without any prior technical or coding experience. Start reading today to build your expertise in responsible AI and prepare for the future of technology governance.