研究论文

生成式人工智能数据安全影响因素互作用框架的元综合研究

  • 刘晴 ,
  • 冉连
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  • 西华大学法学与社会学学院 成都 610039
刘晴,讲师,博士,E-mail: sculiuqingqing@163.com;冉连,副教授,博士,硕士生导师。

收稿日期: 2024-09-14

  修回日期: 2024-12-20

  网络出版日期: 2025-08-20

基金资助

本文系国家社会科学基金青年项目“数字政府建设背景下政府数据开放安全治理能力提升研究”(项目编号:22CZZ035)和四川省哲学社会科学重点研究基地——社会治理创新研究中心项目“生成式人工智能数据安全治理效能提升的影响因素和实现路径研究”(项目编号:SHZLYB2504)研究成果之一。

A Meta-Synthesis Study on the Interaction Framework of Factors Influencing Data Security in Generative AI

  • Liu Qing ,
  • Ran Lian
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  • School of Law and Sociology, Xihua University, Chengdu 610039
Liu Qing, Lecturer, PhD, E-mail: sculiuqingqing@163.com; Ran Lian, Associate Professor, PhD, Master’s Supervisor.

Received date: 2024-09-14

  Revised date: 2024-12-20

  Online published: 2025-08-20

Supported by

This work is supported by the National Social Science Fund of China’s youth project titled “Research on Enhancing Government Data Openness and Security Governance Capabilities in the Context of Digital Government Construction”(Grant No. 22CZZ035), and the project of Sichuan Provincial Key Research Base for Philosophy and Social Sciences: Centre for Social Governance Innovation Research, titled “Research on the Influencing Factors and Implementation Paths for Improving the Effectiveness of Data Security Governance in Generative Artificial Intelligence” (Grant No. SHZLYB2504)

摘要

[目的/意义] 探究生成式人工智能应用中的数据安全影响因素,助益生成式人工智能健康发展和规范应用。[方法/过程] 基于系统性文献筛选对54份中英文研究样本展开元综合分析,将纳入文献进行三级编码和归纳阐释,构建生成式人工智能数据安全影响因素模型,并梳理各维度影响因素及其互作用关系。[结果/结论] 研究获取103项初始概念、31项范畴和11项主范畴,可将其归纳为由技术系统、政府组织、外部环境和用户素养4个维度构成的TGEU模型。为促进生成式人工智能数据安全相关研究提供一定的理论参考,对推进新质生产力赋能高质量发展亦具有重要意义。

本文引用格式

刘晴 , 冉连 . 生成式人工智能数据安全影响因素互作用框架的元综合研究[J]. 图书情报工作, 2025 , 69(18) : 41 -54 . DOI: 10.13266/j.issn.0252-3116.2025.18.004

Abstract

[Purpose/Significance] Exploring the data security influencing factors in the application of generative artificial intelligence can promote the healthy development and standardized application of generative artificial intelligence. [Method/Process] Based on systematic literature screening, this paper carried out a meta-synthesis analysis of 54 Chinese and English research samples, and conducted tertiary coding and inductive interpretation. By constructing a framework of generative AI data safety influencing factors, it sorted out the influencing factors of each dimension and their interplay relationships. [Result/Conclusion] Based on 103 initial concepts, 31 categories and 11 main categories, this paper proposes a TGEU model consisting of four dimensions, namely technology systems, government organization, external environment and user friendliness. It provides certain theoretical references for promoting the research related to generative AI data security, and is also of great significance for promoting the new quality productivity to empower high-quality development.

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