Assessing individual performance within the context of artificial systems is a multifaceted problem. This review analyzes current approaches for evaluating human interaction with AI, highlighting both advantages and limitations. Furthermore, the review proposes a novel bonus structure designed to optimize human productivity during AI interactions.

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