图书情报知识 ›› 2025, Vol. 42 ›› Issue (3): 6-18.doi: 10.13366/j.dik.2025.03.006

• 专题· AI 相关问题 • 上一篇    下一篇

中国人工智能话语权提升路径研究

王楚涵, 潘佳立, 李广建   

  1. 北京大学信息管理系,北京,100871
  • 出版日期:2025-05-10 发布日期:2025-06-23
  • 通讯作者: 李广建(ORCID: 0000-0002-2897-6246),博士,教授,研究方向:信息管理技术、大数据情报分析,Email: ligj@pku.edu.cn。
  • 作者简介:王楚涵(ORCID: 0000-0001-9880-5613),博士研究生,研究方向:大数据情报分析、科学评价,Email: wangchuhan@stu.pku.edu.cn; 潘佳立(ORCID: 0000-0002-0191-2226),博士研究生,研究方向:信息系统、数据挖掘,Email: panjiali1998@stu.pku.edu.cn。

The Path of Enhancing China's Discourse Power in Artificial Intelligence

WANG Chuhan, PAN Jiali, LI Guangjian   

  1. Department of Information Management, Peking University, Beijing, 100871
  • Online:2025-05-10 Published:2025-06-23
  • Contact: Correspondence should be addressed to LI Guangjian, Email: ligj@pku.edu.cn, ORCID: 0000-0002-2897-6246

摘要: [目的/意义]伴随人工智能的飞速发展,国际社会对人工智能领域话语权的争夺日趋激烈。考察影响中国人工智能话语权的因素并发现中国人工智能话语权的提升路径,将有助于我国精准发力,争取与国家实力相称的话语权。[研究设计/方法]在话语权理论和相关研究的基础上,提炼学术、产业、规则三个主要维度,归纳了人工智能话语权测度变量体系。选用TOPSIS和集对分析法两种计算方法与熵权法和均权法两种赋权方法的组合,量化各国的人工智能话语权,横向比较不同的计算方法与变量权重对话语权衡量结果的影响,识别出当前中国在人工智能领域的话语权态势与理想提升路径。[结论/发现]中国人工智能在学术话语权方面仍有进步空间,产业话语权方面有明显优势,规则话语权是重要的发力方向。[创新/价值]基于评价型情报分析的思想,搭建了人工智能领域话语权量化分析的框架,并通过比较多种测量方法结果的差异分析了影响人工智能话语权的因素,以期为我国人工智能研究与实践的布局提供参考。

关键词: 人工智能话语权, 学术话语权, 产业话语权, 规则话语权, 提升路径

Abstract: [Purpose/Significance] With the rapid development of artificial intelligence, there is an increasingly fierce competition among the international community for discourse power. Examining the factors influencing China's discourse power in artificial intelligence and discovering the pathway to enhance it will help China focus its efforts precisely and strive for discourse power that commensurate with national strength. [Design/Methodology] On the basis of discourse power theory and related research, this paper extracts three main dimensions of academia, industry, and regulation to summarize a variable system for measuring the discourse power in artificial intelligence. By using a combination method of TOPSIS and set pair analysis, as well as entropy weight method and equal weight method, we quantify the discourse power of artificial intelligence in different countries. By horizontally comparing the influence of different calculation methods and variable weights on the measurement results of discourse power, we identify China's current status and the ideal pathway for enhancing discourse power in the field of artificial intelligence. [Findings/Conclusion] China still has room for improvement in academic discourse power of artificial intelligence, but it holds a significant advantage in industrial discourse power. The regulatory discourse power is a crucial area for exertion. [Originality/Value] Drawing on the idea of evaluative intelligence analysis, this paper constructs a framework for quantitative discourse power analysis in the field of artificial intelligence. It examines the factors that affect the discourse power in artificial intelligence by comparing the differences in results from various measurement methods, with the aim of providing guidance for the layout of research and practices in artificial intelligence in China.

Keywords: Discourse power in artificial intelligence, Academic discourse power, Industrial discourse power, Rule discourse power, Path-enhancing