Assessing individual performance within the context of AI systems is a challenging task. This review explores current techniques for assessing human interaction with AI, emphasizing both capabilities and limitations. Furthermore, the review proposes a unique reward framework designed to optimize human efficiency during AI collaborations. The rev

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