This course is for learners and professionals who want to understand how artificial intelligence is governed and what compliance requires of organizations. You will begin by examining the current state of AI governance, including the U.S. executive-order approach, the gap between AI capability and public trust, and the sources of authority and standards used to build a governance framework. You will see why social license is central to sustainable AI through case studies on data centers and energy, the creative arts, and the Tay chatbot. You will then study two comprehensive approaches to governance: the EU AI Act, including its risk tiers, rules for general-purpose AI, enforcement, and global influence, and the NIST AI Risk Management Framework with its govern, map, measure, and manage functions.