In "Prediction Machines," economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explore the advancement and growing use of artificial intelligence (AI). The key to AI is not actually intelligence but prediction. This text looks at the value of prediction and data, the importance of trade-offs, and the impact of AI in the workplace. Beneficial to business leaders, financial analysts, policy makers, and students, "Prediction Machines" offers insights, tools, and strategies on how to adapt businesses to the world's ever-growing use of AI. Part 4, comprising chapters 15 to 18, looks at various strategies for implementing AI in business models. Topics include strategies for those in leadership positions, how AI can transform organizations, AI-first strategies, and managing AI risk. Chapter 18 focuses on different types of risk that come with AI. Descriptions of these risks and how to manage them are given. Risks discussed include discrimination that comes from AI predictions, failure due to less diversity of prediction machines, and destructive behavior on the part of the prediction machines because of manipulated feedback.