Assessing human competence within the context of artificial interactions is a multifaceted endeavor. This review examines current methodologies for assessing human performance with AI, identifying both strengths and weaknesses. Furthermore, the review proposes a novel incentive system designed to improve human performance during AI collaborations.

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