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讲座预告|经济学高级研究论坛第221期

发布时间 :2026-03-16 阅读:

讲座题目:Artificial Intelligence in Team Dynamics: Who Gets Replaced and Why?人工智能在团队动态中的作用:谁会被替代,为什么?

主讲人:程协南 北京大学

讲座时间:2026年3月19日14:00

讲座地点:学院206

讲座内容摘要:

This study investigates the effects of artificial intelligence (AI) adoption in organizations. We ask: First, how should a principal optimally deploy limited AI resources to replace workers in a team? Second, in a sequential workflow, which workers face the highest risk of AI replacement? Third, would the principal always prefer to fully utilize all available AI resources, or are there any benefits to keeping some slack AI capacity? Fourth, what are the effects of optimal AI deployment on the wage level and intra-team wage inequality? We develop a sequential team production model in which a principal can use peer monitoring—where each worker observes the effort of their predecessor—to discipline team members. The principal may replace some workers with AI agents, whose actions are not subject to moral hazard. Our analysis yields four key results. First, the optimal AI strategy stochastically replaces workers rather than fixating on a single position. Second, the principal replaces workers at the beginning and at the end of the workflow, but does not replace the middle worker, since this worker is crucial for sustaining the flow of information obtained by peer monitoring. Third, the principal may optimally underutilize available AI capacity. Fourth, the optimal AI adoption increases average wages and reduces intra-team wage inequality.

本研究探讨团队中引入人工智能(AI)的影响。本文关注以下问题:第一,在人工智能资源有限的情况下,委托人应如何最优配置AI以替代团队成员?第二,在顺序型工作流程中,哪些员工面临最高的AI替代风险?第三,委托人是否总是倾向于充分利用全部可用的AI资源,还是保留部分冗余AI产能可能带来额外收益?第四,最优AI配置对工资水平及团队内部工资不平等有何影响?研究者构建了一个顺序型团队生产模型,委托人可以通过同伴监督机制来约束团队成员的行为,即每位员工可以观察其前序员工的努力水平。委托人可以选择以AI代理人替代部分员工,而AI代理人的行为不存在道德风险问题。研究得到四个主要结论:第一,最优AI策略表现为对不同岗位进行随机化替代,而非固定替代某一特定岗位;第二,委托人倾向于替代工作流程起始端与末端的员工,而不会替代中间岗位员工,因为该岗位在维持同伴监督所产生的信息流方面具有关键作用;第三,在某些情形下,委托人最优选择是未充分利用全部AI产能;第四,最优AI采用策略提高了团队的平均工资水平,并降低了团队内部的工资不平等程度。

主讲人简介:

程协南,北京大学光华管理学院应用经济系思想力博士后,研究领域为微观经济理论,论文发表在经济学理论国际期刊Journal of Economic Theory。


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