EVALUATING HUMAN PERFORMANCE IN AI INTERACTIONS: A REVIEW AND BONUS SYSTEM

Assessing individual performance within the context of synthetic systems is a complex endeavor. This review explores current techniques for measuring human interaction with AI, emphasizing both capabilities and weaknesses. Furthermore, the review proposes a novel reward structure designed to optimize human productivity during AI collaborations.

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