绩效反馈是激励并促进个体进步最重要的方式之一。随着人工智能技术的进步,由AI提供的反馈在实践中得到日益广泛的应用,在质量上也开始逐步超越人类管理者所提供的绩效反馈,已经成为组织管理研究中的一个重要话题。然而,现有文献对AI反馈的研究分散在组织管理、教育和医疗等不同学科领域,这导致AI反馈相关研究在研究范式、理论视角和实证方法等方面具有较大差异,且现有文献对AI反馈带来的不同效应在理论机制方面尚未形成一致的认识。鉴于此,本文首先厘清了AI反馈的概念内涵和外延;然后,系统地归纳和总结了AI反馈产生影响的配置效应和披露效应机制,构建了AI反馈的研究框架;接下来,介绍和总结了现有AI反馈研究常用或具有深远启示意义的理论机制,并讨论了理论的使用方式;最后,在此基础上,提出了五个具有科学价值和现实意义的未来研究方向。
人工智能反馈:文献述评与研究展望
摘要
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引用本文
关健, 李文朴, 何国华, 等. 人工智能反馈:文献述评与研究展望[J]. 外国经济与管理, 2025, 47(3): 83-100.
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