Assessing user performance within the context of artificial intelligence is a multifaceted problem. This review analyzes current techniques for evaluating human performance with AI, highlighting both advantages and limitations. Furthermore, the review proposes a novel reward structure designed to enhance human productivity during AI collaborations.

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