Assessing human competence within the context of synthetic interactions is a multifaceted problem. This review examines current approaches for assessing human performance with AI, highlighting both strengths and weaknesses. Furthermore, the review proposes a innovative reward framework designed to optimize human productivity during AI engagements.

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