图书情报知识 ›› 2026, Vol. 43 ›› Issue (4): 43-54, 67.doi: 10.13366/j.dik.2026.04.043

• 学术聚焦(1)·人工智能与科学研究 • 上一篇    下一篇

AI赋能科研及负责任使用的调查研究

李晶, 徐艳慧   

  1. 中山大学信息管理学院,广州,510006
  • 出版日期:2026-07-10 发布日期:2026-10-06
  • 通讯作者: 李晶(ORCID: 0000-0002-0004-907X),博士,教授,研究方向:信息计量与科技评价、信息行为与AI治理,Email: lijing359@mail.sysu.edu.cn。
  • 作者简介:徐艳慧(ORCID: 0009-0003-2147-9700),硕士研究生,研究方向:信息计量与科技评价、信息行为与AI治理,Email: xuyh97@mail2.sysu.edu.cn。
  • 基金资助:
    本文系国家社会科学基金重大项目“人工智能颠覆性应用的社会影响与信息治理研究”(23&ZD223)的研究成果之一。

An Investigative Study on AI-Enabled Research and Responsible Use

LI Jing, XU Yanhui   

  1. School of Information Management, Sun Yat-Sen University, Guangzhou, 510006
  • Online:2026-07-10 Published:2026-10-06
  • Contact: Correspondence should be addressed to LI Jing, Email: lijing359@mail.sysu.edu.cn, ORCID: 0000-0002-0004-907X
  • Supported by:
    This is an outcome of the Major Project "Research on Social Impacts of Disruptive Applications of Artificial Intelligence and Information Governance"(23&ZD223)supported by National Social Science Foundation of China.

摘要: [目的/意义]探究人工智能(AI)赋能科研的现状与特征,为推动AI系统在科研场景中的负责任使用、高效赋能科研创新提供指导。[研究设计/方法]收集包括论文文本、学术出版机构发布的调研报告以及半结构化访谈资料在内的多源数据,应用内容分析法进行质性分析,系统探究科研人员应用AI系统的现状、认知态度及未来前景。[结论/发现]目前科研人员对AI系统的应用已覆盖科研全生命周期,对于AI系统科研应用的影响、障碍具有明确认知,同时从拓展AI系统应用场景、构建人智协同的科研模式、构建AI系统的负责任应用框架三方面对AI系统赋能科研的发展前景进行了展望。[创新/价值]揭示AI赋能科研的现状,探讨科研人员对其AI使用情况的不诚实披露问题及影响因素,为优化智能科研实践、推动科研领域AI的负责任使用提供启示。

关键词: AI for Science, AI系统, 负责任AI使用, 负责任科研

Abstract: [Purpose/Significance] This article aims to explore the current situation and characteristics of AI empowering scientific research, and provide guidance for promoting the responsible use of AI systems in scientific research scenarios and facilitating efficient empowerment of scientific innovation. [Design/Methodology] Through multi-source data collection, including academic paper texts, research reports released by academic publishing institutions, and semi-structured interview materials, qualitative analysis and systematically exploration were conducted using content analysis methods, with a focus on the current status, cognitive attitudes, and future prospects of researchers' application of AI systems in scientific research. [Findings/Conclusion] At present, researchers' application of AI systems has covered the entire life cycle of research, and they have a clear understanding of the impact and obstacles of AI systems in scientific research applications. Moreover, this article has further envisioned the development prospects of AI systems empowering research from three aspects: expanding the application scenarios of AI systems, establishing a human-intelligence collaborative research model, and constructing a responsible application framework for AI systems. [Originality/Value] This study reveals the current situation of AI empowering research, and further explores the issue of researchers' dishonest disclosure of their use of AI and the influencing factors, providing insights for optimizing intelligent research practices and promoting the responsible use of AI in research.

Keywords: AI for Science(AI4S), AI systems(AIS), Responsible AI use, Responsible research