Assessing individual performance within the context of AI intelligence is a multifaceted problem. This review analyzes current methodologies for measuring human interaction with AI, identifying both strengths and shortcomings. Furthermore, the review proposes a novel bonus structure designed to improve human efficiency during AI collaborations.

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