信息资源管理学报 ›› 2024, Vol. 14 ›› Issue (2): 4-20.doi: 10.13365/j.jirm.2024.02.004

• 特约稿 •    下一篇

人工智能技术赋能情报工作的历程与当前思考

李广建 潘佳立   

  1. 北京大学信息管理系,北京,100871
  • 出版日期:2024-03-26 发布日期:2024-04-11
  • 作者简介:李广建,博士,教授,研究方向为信息管理技术、大数据情报分析;潘佳立(通讯作者),博士生,研究方向为信息系统、数据挖掘,Email:panjiali1998@stu.pku.edu.cn。
  • 基金资助:
    本文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。

The Evolution and Contemporary Perspectives on the Empowerment of Intelligence by Artificial Intelligence Technology

Li Guangjian Pan Jiali   

  1. Department of Information Management,Peking University,Beijing,100871
  • Online:2024-03-26 Published:2024-04-11
  • About author:Dr Li Guangjian is a professor,who is dedicated to researching information management technology and conducting big data intelligence analysis.Pan Jiali(corresponding author) is a Ph.D.candidate, his research interests lie in the fields of information systems and data mining, Email: panjiali1998@stu.pku.edu.cn.
  • Supported by:
    This is an outcome of the major 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: 本文系统探讨了人工智能技术的演进及其在情报工作中的应用,揭示了人工智能赋能情报工作在思想、特征、技术方法和场景应用上的新变化。从基于规则的范式到基于基础模型的阶段,人工智能技术为情报工作的智能化提供了新机遇,但同时也引发了伦理、法律、隐私等新挑战。本文指出了情报领域在新时期应该关注的问题和挑战,并提出了针对这些问题和挑战的对策,以期为情报领域的稳定发展提供有益的建议。

关键词: 人工智能技术, 基础模型, 数智赋能, 情报工作, 应用挑战

Abstract: This paper systematically explores the evolution and application of artificial intelligence (AI) technology in intelligence work, revealing its new developments in ideology, characteristics, technical methods, and practical scenarios. Transitioning from a rule-based paradigm to the era of foundation model approaches, AI presents significant opportunities for the intelligence field’ s enhancement in intelligence processing. However, it also introduces novel challenges related to ethics, legal considerations, and privacy concerns. The paper identifies issues and challenges that should be addressed by the intelligence community in the new era of intelligence. Furthermore, the paper proposes forward-thinking strategies to address these issues and challenges, providing valuable insights for the stable development of intelligence field.

Key words: Artificial intelligence technology, Foundation models, Digital intelligence empowerment, Intelligence, Application and challenges

中图分类号: