世界科技研究与发展 ›› 2026, Vol. 48 ›› Issue (1): 80-89.doi: 10.16507/j.issn.1006-6055.2025.11.007 cstr: 32308.14.1006-6055.2025.11.007

• 科技管理与政策 • 上一篇    

新型人工智能人才培养机构发展战略研究

董波1,2 王云云1,2   

  1. 1.之江实验室发展战略与合作中心;2.浙江省哲学社会科学实验室—之江实验室智能社会治理实验室
  • 发布日期:2026-02-28
  • 基金资助:
    浙江省科技厅软科学研究计划“‘教科人’一体改革推进人工智能应用型人才培养模式研究”(2025C25085(SYS))

Research on the Development Strategy of New Artificial Intelligence Talent Training Institutions

DONG Bo1,2 WANG Yunyun1,2   

  1. 1.Zhejiang Laboratory Development Strategy and Cooperation Center; Zhejiang Philosophy and Social Science Laboratory-Zhejiang Laboratory Intelligent Society and Governance Laboratory
  • Published:2026-02-28

摘要: 全球人工智能战略布局中,各国普遍将建设新型人工智能人才培养机构作为重要抓手,这类机构也是各国推动教育、科技、人才协同发展的重要载体。从国际实践来看,这类新型机构呈现出四大发展趋势:以政府为主导协同产学研共建;培养金字塔型人才队伍;以项目为牵引推动教育科技人才协同发展;配套全要素支撑的保障体系。鉴于此,为推动我国人工智能人才培养机构的高质量建设,本文基于教育科技人才一体化视角,分析国内的现状与挑战,并提出对策建议:一是加强政府统筹,建立常态化、体系化的推进机制;二是完善培养目标,构建覆盖多层次的人才教育体系;三是强化项目牵引,促进教育、科技与人才协同发展;四是重视普惠共享,提升全社会人工智能素质教育。上述措施有利于构建具有中国特色的人工智能人才培养网络,为我国人工智能战略发展提供坚实支撑。

关键词: 人工智能;人才培养;新型机构;教育科技人才一体化;产学研协同;发展战略

Abstract: In the global strategic layout of artificial intelligence, countries generally regard the establishment of new artificial intelligence talent training institutions as a key measure, and such institutions are also important carriers for countries to promote the coordinated development of education, science and technology, and talent. From the perspective of international practices, these new institutions show four major development trends: government-led co-construction with industry, academia, and research, cultivation of a pyramid-shaped talent team, project-driven coordinated development of education, science and technology, and talent, and establishment of a full-factor-supported guarantee system. In view of this, to promote the high-quality construction of China’s artificial intelligence talent training institutions, this paper analyzes the current domestic situation and challenges from the perspective of the integration of education, science and technology, and talents, and puts forward countermeasures and suggestions: 1) strengthen government coordination to establish a regular and systematic promotion mechanism; 2) refine training objectives to build a multi-level talent education system; 3) enhance project-driven mechanisms to integrate education, science and technology, and talent development; 4) promote inclusive AI education to improve AI literacy across society. These measures aim to build an artificial intelligence talent training network with Chinese characteristics to provide solid support for China’s strategic development of artificial intelligence.

Key words: Artificial Intelligence; Talent Training; New Institutions; Education Technology Talent Integration; Industry-university-research collaboration; Development Strategy