赵延东^1,2,徐妍何¹

• 1:中国人民大学社会学理论与方法研究中心
• 2:中国人民大学北京社会建设研究基地

摘要(Abstract)：

随着生成式人工智能（AIGC）在科研中的广泛应用，其伦理风险日益引发关注。科研人员作为直接使用者与科研责任主体，其对AIGC伦理风险的感知机制亟待系统探讨。基于一项对我国科研人员开展的大规模问卷调查，本研究发现：女性、具有医学及人文社科学科背景、供职于医疗卫生机构、社会网络中包含企业成员的科研人员，表现出更高的AIGC伦理风险感知水平；而对AIGC的技术熟悉度越高，科研人员的伦理风险感知反而显著降低，反映出“工具理性”对伦理考量的潜在抑制。研究揭示了伦理风险感知的形成受到制度环境、学科文化与科研压力的共同塑造，而非单纯由技术认知驱动。本研究有助于深化对科研人员技术伦理判断逻辑的理解，为构建差异化、情境化的科技伦理治理体系提供实证依据。

关键词(KeyWords)： 生成式人工智能（AIGC）;科研伦理;风险感知

Abstract:

Keywords:

基金项目(Foundation): 新一代人工智能国家科技重大专项“人工智能社会实验伦理、评估与标准化研究”（2023ZD0121602）；国家自然科学基金专项项目“科学基金支持原创性颠覆性科技创新的机制与政策研究”（L2424128）。

作者(Author): 赵延东^1,2,徐妍何¹

DOI: 10.19524/j.cnki.10-1009/g3.2026.01.088

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