Human and Machine Intelligence builds upon the foundations of AIML901-MO and dives deeper into how humans and AI interact, what that means for leadership and organizations, and how to successfully lead AI adoption in organizations. This is a real-world applications oriented course that draws on interdisciplinary insights from machine learning, cognitive science, human-computer interaction, organizational behavior, and literature to examine how and why humans and machines differ in problem solving abilities. By understanding the strengths and weaknesses of current and future humans and machines across a breadth of case studies, you will learn to recognize where AI can complement human intelligence and organizational processes, when human judgment is indispensable, what kind of trade-offs emerge when employing humans versus machines, and how to design hybrid teams that outperform either humans or machines working alone. This course is an interactive lecture-based course with four individual assignments and a final group project. The goal of the course is to prepare you to identify and evaluate AI opportunities, uncover human and machine blindspots, navigate ethical dilemmas, and lead teams of hybrid human and machine intelligence to effectively integrate AI into new businesses and adapt old ones.