Assessing human performance within the context of synthetic interactions is a multifaceted endeavor. This review analyzes current approaches for assessing human performance with AI, highlighting both capabilities and weaknesses. Furthermore, the review proposes a novel incentive framework designed to optimize human efficiency during AI engagements.

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