Globally, many countries have raised artificial intelligence (AI) to the level of national strategy, and it is the consensus that AI plays a key role in the contributions to the sustainable development of the national economy, industrial upgrading and transformation, and scientific and technological progress. This research adopts a bibliometrics-based research framework to characterize the development and evolution of China’s AI policy in China’s main regions. The framework integrates bibliometric methods for identifying core policy elements and their evolution from other researchers. It also employs quantitative network analysis to explore the characteristics of AI policy in policy distribution. The data sampling is mainly from the State Council Policy database, collecting AI-related policies from 2017 to 2022. Firstly, China’s AI policies and four tides of evolution have been collected and summarized, issuing the main interpretation of iterative trends. Secondly, the core targets in each policy at each stage have been analyzed to explain the policy inclination. Thirdly, the policy issuing trends, distribution changes, and evolution of policy targets has been identified to explore the characteristics of China’s policy for innovation in the industry. The visualized results show the four iterative tides that are year 2017, the year 2018-2019, the year 2020- 2021, and year 2022 present different policy inclinations in the area of innovation, which would encourage scholars and practitioners from the AI and innovation domain with great interests in China’s AI policy for further discussion.

Authors:
Chen Qu, Japan Advanced Institute of Science and Technology, Japan
Eunyoung Kim, Japan Advanced Institute of Science and Technology, Japan
Hideomi Gokon, Japan Advanced Institute of Science and Technology, Japan
Wei Ding, Dalian Polytechnic University, China

About the Presenter(s)
Ms Chen Qu is a University Postgraduate Student at Japan Advanced Institute of Science and Technology in Japan

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