Evaluating Human Performance in AI Interactions: A Review and Bonus System
Assessing individual competence within the context of synthetic interactions is a multifaceted problem. This review explores current methodologies for evaluating human performance with AI, identifying both capabilities and limitations. Furthermore, the review proposes a innovative incentive framework designed to optimize human efficiency during AI