Chinese Journal of Intelligent Science and Technology ›› 2023, Vol. 5 ›› Issue (1): 1-6.doi: 10.11959/j.issn.2096-6652.202310

• Review Intelligence •     Next Articles

The DAOs to AI for Science by DeSci: the state of the art and perspective

Fei-Yue WANG1,2, Qinghai MIAO1, Junping ZHANG3, Wenbo ZHENG4, Wenwen DING5   

  1. 1 School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
    2 State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    3 School of Computer Science, Fudan University, Shanghai 200433, China
    4 School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China
    5 Institute of System Engineering, Macau University of Science and Technology, Macao 999078, China
  • Revised:2023-03-03 Online:2023-03-15 Published:2023-03-01
  • Supported by:
    The National Natural Science Foundation of China(62271485);The National Natural Science Foundation of China(61903363);The National Natural Science Foundation of China(U1811463);Open Project of the State Key Laboratory for Management and Control of Complex Systems(20220117)


The new wave of artificial intelligence technology represented by ChatGPT is promoting the comprehensive transformation of human society, the transformation of scientific research paradigm is accelerating, and an artificial intelligence-driven scientific research (AI for Science, AI4S) revolution is coming.The basic concepts and characteristics of AI4S were analyzed, and the development status of AI4S were briefly summarized from the perspectives of mathematics, physics, biology, and materials.Vigorously developing AI4S is of great significance to improving national competitiveness, developing social economy, and strengthening technical reserves.In order to promote the development of AI4S better, the following two points are essential: one is to change the contemporary teaching and education, and advocate AI for Education (AI4E) and Education for AI (E4AI); the other is to establish and adapt to the "new scientific research paradigm" with "new organization mode" in a "new research ecology", based on DAOs and DeSci, for open, fair and just sustainable support for AI4S.

Key words: AI for Science, decentralized science, decentralized autonomous organizations and operations

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