Working with AI: An analysis for rational integration
研究了决策者使用AI估计未知状态时，双方拥有私人信号且决策者偏好AI出错以维护自身优越性或分担责任的情况，发现过程正确性并非参与者专业水平的单调函数。
A decision maker (DM) uses an AI agent to estimate an unknown state, for which both possess informative private signals. Conditional on the state and the DM's final assessment, he prefers the AI's recommendations to be incorrect, thus affirming his own superiority or sharing the blame. Our analysis indicates that the correctness of the process is not a monotone function of participants' expertise levels: (i) a less accurate AI may lead to improved outcomes by reducing the DM's reliance on it, and (ii) a less accurate DM can enhance information aggregation leading to a superior result.