发表机构
National University of Singapore（新加坡国立大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过实验探究知识工作者分享专业知识给AI与人类的意愿差异，发现AI复用主要影响分享意愿而非内容，引发控制权与替代担忧，需政策保障员工权益。
AI 中文摘要
组织长期以来一直寻求使员工的专业知识能够被他人复用。智能体AI通过使AI系统能够在有限人工参与的情况下基于员工知识采取行动，改变了这种复用的性质。这引发了关于这种转变如何影响员工分享专业知识意愿的问题。我们进行了一项实验，让知识工作者创建包含领域知识的材料，并决定是否授权人工或AI复用。我们发现，AI复用与人工复用的主要区别在于工作者是否选择分享其知识，而非他们选择分享什么内容。参与者的推理从与人类分享时的亲社会考量，转向与AI分享时对失去控制、被替代以及下游治理的担忧。这些发现表明，AI复用可能加剧组织知识复用与贡献者利益之间的紧张关系。我们讨论了对工作场所AI和知识管理政策的影响，以保障员工的权利和自主性。
英文摘要
Organizations have long sought to make workers' expertise reusable by others. Agentic AI changes the nature of such reuse by enabling AI systems to act on workers' knowledge with limited human involvement. This raises the question of how this shift shapes workers' willingness to share their expertise. We conducted an experiment with knowledge workers who created materials incorporating domain knowledge and decided whether to authorize human or AI reuse. We find that AI and human reuse differ primarily in whether workers choose to share their knowledge, rather than in what they choose to share. Participants' reasoning shifts from prosocial considerations when sharing with humans toward concerns about loss of control, replacement, and downstream governance when sharing with AI. These findings suggest that AI reuse may intensify tensions between organizational knowledge reuse and contributors' interests. We discuss implications for workplace AI and knowledge management policies that preserve workers' rights and agency.
