EVALUATING HUMAN PERFORMANCE IN AI INTERACTIONS: A REVIEW AND BONUS SYSTEM

Assessing user competence within the context of synthetic intelligence is a complex problem. This review analyzes current techniques for evaluating human interaction with AI, emphasizing both strengths and limitations. Furthermore, the review proposes a innovative reward framework designed to optimize human productivity during AI interactions. T

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