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441数字经济背景下，人工智能深度嵌入组织流程，人—AI协同逐渐成为学界和业界共同关注的前沿议题。尽管近年来学术界对人—AI协同的研究兴趣日益浓厚，但现有成果仍较为零散，缺乏系统整合。基于此，本文以220篇人—AI协同的英文文献为研究对象，利用BERTopic主题模型聚合出13个主题，并结合人工编码与层次聚类可视化结果，将研究内容归纳为四个方面，即内涵和构成、前因、结果与边界条件。在此基础上，本文进一步对相关中英文文献进行了系统化梳理，构建了人—AI协同的整合研究框架，并在该框架之上提出了未来研究展望，包括深化人—AI协同的内涵并揭示其构成的动态作用机制、拓展前因并揭示多要素的协同作用、延伸结果维度并跨层次探讨结果的联动机制、推进边界条件研究，以及丰富数据来源、研究方法。本文对人—AI协同研究现有文献进行了系统性归纳与整合，旨在为后续学术探索提供知识基础与研究参考。
人—AI协同
摘要
参考文献
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引用本文
马鸿佳, 韩姝婷. 人—AI协同[J]. 外国经济与管理, 2026, 48(7): 3-21.
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