| 周鑫,施未晔,郏江杰,夏凯丽.AI技术应用于高校图书馆科研支持服务的伦理风险及应对策略[J].数字图书馆论坛,2025,21(12):8~15 |
| AI技术应用于高校图书馆科研支持服务的伦理风险及应对策略 |
| Ethical Risks and Coping Strategies of AI Technology Applied to Scientific Research Support Services in University Libraries |
| 投稿时间：2025-11-16 |
| DOI：10.3772/j.issn.1673-2286.2025.12.002 |
| 中文关键词: 高校图书馆；科研支持服务；人工智能应用；伦理风险 |
| 英文关键词: University Library; Research Support Service; AI Application; Ethical Risk |
| 基金项目:本研究得到江苏省社会科学基金青年项目“高水平科技自立自强背景下江苏高校图书馆服务韧性测度研究”（编号：24TQC008）资助。 |
| 作者 | 单位 | | 周鑫 | 南京工业大学经济与管理学院；江苏省数据工程与知识服务重点实验室 | | 施未晔 | 南京工业大学经济与管理学院； | | 郏江杰 | 江苏省科学技术情报研究所 | | 夏凯丽 | 江苏省科学技术情报研究所 |
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| 中文摘要: |
| 随着人工智能（Artificial Intelligence，AI）技术在高校图书馆科研支持服务中的深度渗透，数据管理、智能检索等场景的服务效率显著提升，但伦理风险也随之凸显。本研究旨在明确AI技术应用于高校图书馆科研支持服务的伦理风险类型与成因，构建科学可行的应对策略体系。采用文献调研法梳理AI技术与高校图书馆科研支持服务融合现状及伦理研究进展，通过总结国内外高校图书馆的实践经验与风险暴露情况，结合德尔菲法对风险维度与应对措施进行专家论证。研究发现，AI伦理风险主要集中于数据隐私、算法公平、学术诚信、责任界定等四大维度，其成因涉及技术特性、制度设计、主体素养等多重因素。基于此提出“制度规范-主体赋能-监管协同-技术优化”的四维应对策略，为高校图书馆防范AI技术应用于科研支持服务的伦理风险提供理论支撑与实践参考，助力高校图书馆智能化发展。 |
| 英文摘要: |
| With the deep penetration of artificial intelligence (AI) technology in scientific research support services in university libraries, the service efficiency of data management, intelligent retrieval, and other scenarios has significantly improved, but ethical risks have also become prominent. The aim of this study is to clarify the ethical risk types and causes of AI technology applied to scientific research support services in university libraries, and to construct a scientifically feasible coping strategy system. We use literature research method to sort out the current situation and ethical research progress of the integration of AI technology and scientific research support services in university libraries. By summarizing the practical experience and risk exposure of university libraries at home and abroad, and combining Delphi method, we conduct expert argumentation on risk dimensions and response measures. Research has found that the ethical risks of AI are mainly concentrated in four dimensions: data rivacy, algorithm fairness, academic integrity, and responsibility definition.The causes involve multiple factors such as technological characteristics, institutional design, and subject literacy. The study proposes a four-dimensional coping strategy of “institutional norms?subject empowerment?regulatory collaboration?technology optimization” to provide theoretical support and practical reference for university libraries to prevent ethical risks in the application of AI technology in scientific research support services, and to assist in the intelligent development of university libraries. |
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