This course is an introduction to some central issues in decision theory and their relationship to artificial intelligence (AI). As more and more decisions are done by artificial systems questions pertaining to what characterizes good decision making become more relevant. Automated systems have a wide range of applications, ranging from self-driving cars to chess computers. What can such systems tell us about good decision making, and what can traditional decision theory tell us about such systems? This course introduces traditional decision-theoretic tools and models and discusses the bearing of these to core issues in the philosophy of AI. After outlining some central issues in decision theory, we will explore the questions: what can philosophers of AI learn from those working on decision theory, and what can decision theorists learn from the continuing development of AI?