Deceptive Optimization in Recommendation Algorithms
Daniel and Evan discuss the impact of recommendation algorithms and how they can be optimized to manipulate user behavior, leading to potential deception. They explore the concept of optimizing across episodes and the implications it has on algorithmic decision-making.In this clip
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