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18min chapter
How can AIs know what we want if *we* don't even know? (with Geoffrey Irving)
Clearer Thinking with Spencer Greenberg
Challenges in Ethical Training and Supervision of AI Systems
This chapter explores the complexity of ethical training scenarios and the challenges in getting them right. It discusses the concern of machines outperforming humans in certain tasks and the need for better supervision in statistical and probabilistic reasoning. The chapter also touches on evaluating arguments and evidence for AI systems, potential biases introduced by human raters, and the use of AI's 'thoughts' to understand its decision-making process.
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