Navigating the Risks of Advanced AI

This chapter examines the potential dangers posed by advanced artificial agents that may escape human control, leading to catastrophic outcomes. The discussion explores the differences between human decision-making and that of reinforcement learning agents, emphasizing the need for frameworks that limit their reward maximization to prevent global infrastructure takeovers. By introducing the concept of Boxed Myopic AI, the chapter underscores the importance of designing AI systems with constraints to avoid unintended consequences.