Suggestions on building China’s artificial intelligence open source innovation ecosystem

Authors

Yuntao LONG, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100190, ChinaFollow
Haibo LIU, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100190, China
Zheping XU, National Science Library, Chinese Academy of Sciences, Beijing 100190, China; Key Laboratory of New Publishing and Knowledge Services for Scholarly Journals, Beijing 100190, China; Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
Yungang BAO, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, ChinaFollow
Yanjun WU, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China

Keywords

artificial intelligence；open-source innovation；infrastructure；ecological system construction

Document Type

Scientific Focus: Open Source Innovation and Open Source Paradigm

Abstract

With the release and application of open-source large language models (LLMs) represented by DeepSeek, open-source innovation has played an increasingly important role in the rapid development of global artificial intelligence (AI) technology. Through technological innovation, cost reduction, performance improvement, and application demonstration, DeepSeek has opened up a disruptive innovation path and improved the research and application level of AI in China and its international influence. In order to further promote the construction of China’s AI open source innovation ecosystem and promote the continuous innovation and iteration of AI technology, this study analyzes the outstanding problems in China’s AI innovation ecosystem and the deficiencies of relevant policies, and puts forward suggestions to accelerate the construction of China’s AI open source innovation ecosystem from four dimensions: top-level design, infrastructure construction, cultivation of multiple participants, and improvement of open source innovation operating mechanism.

First page

453

Last Page

458

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

Recommended Citation

LONG, Yuntao; LIU, Haibo; XU, Zheping; BAO, Yungang; and WU, Yanjun (2024) "Suggestions on building China’s artificial intelligence open source innovation ecosystem," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 40 : Iss. 3 , Article 8.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20250228001
Available at: https://bulletinofcas.researchcommons.org/journal/vol40/iss3/8