中国科学院学部人工智能赋能科学研究咨询项目学科组.人工智能学科体系:内涵、架构与发展建议[J].中国科学院院刊,2026,41(6):1079-1088.
人工智能学科体系:内涵、架构与发展建议
Disciplinary system of artificial intelligence: Connotation, architecture, and development suggestions
人工智能学科体系:内涵、架构与发展建议
Disciplinary system of artificial intelligence: Connotation, architecture, and development suggestions
作者
中国科学院学部人工智能赋能科学研究咨询项目学科组
中国科学院 北京 100864
Discipline Group of Advisory Project on AI-empowered Scientific Research, Academic Divisions of the Chinese Academy of Sciences
Chinese Academy of Sciences, Beijing 100864, China
中国科学院 北京 100864
Discipline Group of Advisory Project on AI-empowered Scientific Research, Academic Divisions of the Chinese Academy of Sciences
Chinese Academy of Sciences, Beijing 100864, China
中文关键词
人工智能;学科体系;智能形态;基础学科;人工智能赋能
英文关键词
artificial intelligence;discipline system;forms of intelligence;foundational disciplines;AI empowerment
中文摘要
人工智能学科研究人工智能的理论、方法、系统、应用、赋能、伦理与治理等,是一门典型的交叉学科。随着近年人工智能的快速发展,其学科内涵、体系架构等随之不断丰富与发展。文章在分析人工智能发展态势的基础上,从理论方法、智能形态、学科融合和应用赋能等4个视角阐释人工智能学科内涵,提出由基础支撑学科、基本知识体系、主要智能形态和应用赋能扩展构成的人工智能学科体系框架。在新形势下,应从夯实学科基础、深化交叉融合、强化应用赋能、加强人才体系培养等方面系统推进人工智能学科体系建设,促进其开放演化和高质量发展。
英文摘要
The discipline of artificial intelligence studies the theories, methods, systems, applications, enabling functions, ethics, and governance of artificial intelligence, and is a typical interdisciplinary field. With the rapid development of artificial intelligence in recent years, its disciplinary connotations and system architecture urgently require renewed examination. Based on the analysis of development trends of artificial intelligence, this paper elucidates the connotations of the AI discipline from four perspectives: theoretical methods, forms of intelligence, disciplinary integration, and application empowerment. It further proposes a disciplinary system framework for artificial intelligence comprising foundational supporting disciplines, core body of knowledge, major forms of intelligence, and application-oriented extensions. In response to emerging developments and evolving demands, systematic efforts should be made to advance the development of the artificial intelligence discipline by strengthening its disciplinary foundations, deepening interdisciplinary integration, enhancing application enablement, and improving systems for talent development, thereby promoting its open evolution and high-quality development.
DOI10.3724/j.issn.1000-3045.20260514006

