Assessing individual effectiveness within the context of AI systems is a multifaceted problem. This review analyzes current approaches for evaluating human interaction with AI, highlighting both advantages and weaknesses. Furthermore, the review proposes a novel incentive structure designed to enhance human productivity during AI collaborations.

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