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

Assessing individual competence within the context of synthetic interactions is a complex endeavor. This review analyzes current approaches for assessing human performance with AI, highlighting both advantages and shortcomings. Furthermore, the review proposes a unique bonus framework designed to optimize human efficiency during AI interactions.

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