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The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation

Abstract:
Today, countries that value and understand the need for the formation of innovative ecosystems come to the fore and become the drivers of the world economy.  China has identified the development of artificial intelligence as one of the main driving forces of the national economy at the present stage.  The article discusses the main directions of the development of artificial intelligence in China, as well as global trends in this area.  Particular attention is paid to the latest developments in China in the field of artificial intelligence.  The forecasted values   of the volume of the artificial intelligence market in China are estimated.  It has been proven that despite a significant increase in the volume of the artificial intelligence market in China in 2020-2025, the growth rate is gradually decreasing.  Due to the growing technological and economic confrontation between China and, first of all, the United States, the question of China's global leadership in the field of artificial intelligence remains open
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s00146-020-00992-2

Authors

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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0002-9610-7245
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0002-8545-5068
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0001-5221-4770
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0002-1181-649X
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-1620-9418


Publisher:
Springer
Journal:
AI and Society More from this journal
Volume:
36
Issue:
1
Pages:
59-77
Publication date:
2020-06-17
DOI:
EISSN:
1435-5655
ISSN:
0951-5666


Language:
English
Keywords:
Pubs id:
1071430
Local pid:
pubs:1071430
Source identifiers:
W2988293491
Deposit date:
2026-02-12
ARK identifier:
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