Behaviorism and AI: How Rewards Shape Model Behavior
Read OriginalThis article connects behavioral psychology to AI, explaining how operant conditioning and reinforcement learning shape model behavior. It covers reinforcement learning from human feedback (RLHF), the risks of optimizing for rewards without verifying outcomes, and practical governance steps for enterprise teams, such as separating reward from evidence and enforcing permissions outside the learning objective.
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