Research on China's New Generation Artificial Intelligence Industry Development Policy and Governance System Modernization
Jia Yiwei1, Qi Yong1,2, Sun Minghan1
1. School of Intellectual Property,Nanjing University of Science and Technology,Nanjing 210094,China; 2. School of Economics and Management,Nanjing University of Science and Technology,Nanjing 210094,China
Abstract：The development of a new generation of AI industry has become a new driving force leading a new round of scientific and technological revolution and industrial transformation in China.The article select 1085 central and local AI industrial policies in China,use social network analysis,content analysis,text mining and other methods to compare and study the general situation and change trend of industrial specific and macro policies.It is found that the policy strength of China's AI industry continues to increase,and the policy effectiveness is significantly improved.The local industrial policies are characterized by regional differentiation,and the special policies of many provinces and cities in the northwest are still blank.Local policies are highly diverse and innovative,and the participation of non-governmental sectors such as business groups and social organizations is increasing.The coordination of industrial policy subjects is insufficient,and the combination between central and local governments needs to be broken through.Standards and intellectual property have become important industrial policy tools,and the structure of industrial policy tools needs to be adjusted.Transportation,medical care,business and trade will become the direction of future policy formulation.Finally,the article puts forward a governance system framework of AI industry under policy embedding and corresponding enlightenment.
贾怡炜, 戚湧, 孙明汉. 新一代人工智能产业政策及治理体系现代化研究[J]. 中国科技论坛, 2023(12): 51-60.
Jia Yiwei, Qi Yong, Sun Minghan. Research on China's New Generation Artificial Intelligence Industry Development Policy and Governance System Modernization. , 2023(12): 51-60.
2023, 
