
Peter Norvig: Artificial Intelligence: A Modern Approach
Lex Fridman Podcast
Navigating AI's Ethical Landscape
This chapter explores the intricate task of encoding human values in AI utility functions, focusing on inverse reinforcement learning and the challenges of deriving ethical outcomes from AI systems. It highlights the trade-offs in algorithmic fairness, questioning how technology influences human behavior and the design of attention-driven systems. The discussion reflects on the importance of user welfare over mere engagement in the evolving AI landscape.
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