信息资源管理学报 ›› 2025, Vol. 15 ›› Issue (3): 93-107.doi: 10.13365/j.jirm.2025.03.093

• 研究论文 • 上一篇    下一篇

国际人工智能评价体系的变化及其启示

王晨琳 王楚涵   

  1. 北京大学信息管理系,北京,100871
  • 出版日期:2025-05-26 发布日期:2025-06-16
  • 作者简介:王晨琳,博士研究生,研究方向为科学计量与智库研究;王楚涵(通讯作者),博士研究生,研究方向为科学计量与评价,Email:wangchuhan@stu.pku.edu.cn。
  • 基金资助:
    本研究系国家社会科学基金重大项目“数智转型背景下智能情报关键技术应用研究”(23&ZD228)的研究成果之一。

Changes in International AI Evaluation Systems and Implications

Wang Chenlin Wang Chuhan   

  1. Department of Information Management, Peking University, Beijing, 100871
  • Online:2025-05-26 Published:2025-06-16
  • About author:Wang Chenlin, Ph.D. candidate, research interests: scientometrics and think tank research; Wang Chuhan(corresponding author), Ph.D. candidate, research interests: scientometrics and evaluation, Email: wangchuhan@stu.pku.edu.cn.
  • Supported by:
    This is an outcome of the Key Project "Research on the Application of Key Technologies of Intelligence in the Context of Digital Transformation"(23&ZD228) supported by the National Social Science Foundation of China.

摘要: 国际人工智能评价体系及其指数报告包含丰富的信息,反映了全球人工智能技术发展和实践应用现状,能够揭示各国对人工智能的关注重点及其在该领域的国际竞争力,具有重要的研究价值。本研究依据五大原则选取国际主要人工智能评价体系,获取相应的历年指数报告,采用比较分析法,从发布背景与评价目的、指标框架的层级结构与来源逻辑等方面进行研究,阐明不同评价体系的特点及差异。在此基础上,分析国际人工智能评价体系在评价层级与维度、指标数量与内容方面的变化,揭示人工智能技术的发展趋势与国际关切,可为我国人工智能技术的创新发展、政策制定,以及全球竞争力的提升提供针对性的启示和建议。

关键词: 人工智能, 评价指标, 体系变化, 对比分析, 负责任的AI

Abstract: The international AI evaluation systems and their index reports contain rich information, reflecting the current state of global AI technology development and practical application. They reveal the focal points of various countries' attention towards AI and their international competitiveness, making them valuable for research. This study selects the major international AI evaluation systems according to five key principles and obtains the corresponding annual index reports. Using a comparative analysis method, the study examines aspects such as the background of reports, evaluation purposes, hierarchical structure of the indicator framework, and the logic of index source, clarifying the characteristics and differences of various AI evaluation systems. Then the study analyzes the changes in the evaluation hierarchical structure and dimensions, as well as the indicator number and content, revealing the development trends of AI technology and international concerns. The findings offer targeted insights and implications for the innovation and development of AI technology, policy formulation, and enhancing global competitiveness of China.

Key words: Artificial intelligence, Evaluation indicators, System changes, Comparative analysis, responsible AI

中图分类号: