
25 - Cooperative AI with Caspar Oesterheld
AXRP - the AI X-risk Research Podcast
Safe Predator Improvements and Equilibrium Selection
This chapter explores the concept of safe predator improvements or surrogate goals as a means to address the problem of equilibrium selection in game theory. It discusses the difference between safe and unsafe Pareto improvements and emphasizes the importance of AI instructions that benefit both parties. The chapter also highlights the challenges and risks involved in deliberately misaligning AI with human preferences.
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