Abstract
Globally, many countries have elevated artificial intelligence (AI) to the level of a national strategy. It is widely recognized that AI plays a pivotal role in contributing to sustainable national economic development, industrial upgrading, technological progress, and innovation. The purpose of this research is to identify different phases of China’s AI policy issuing evolutions and reveal the characteristics of its issuing distributions and inclinations for innovations in industries. We employed a bibliometrics-based research framework to characterize the development and evolution of China's AI policy across its main regions. The framework integrates bibliometric methods for identifying core policy elements and tracking their evolution, as established by other researchers. It also utilizes quantitative network analysis to investigate the characteristics of AI policy distribution, and co-word analysis to identify the AI policy inclination features. The data for this study were primarily sourced from the PKULAW database, encompassing AI-related policies from 2017 to the present. First, China's AI policies and their four stages of evolution were collected and summarized, providing the primary interpretation of iterative trends. Second, the core objectives in each policy at each stage were analyzed to elucidate policy inclinations. The visualized results reveal four iterative stages corresponding to the years 2017, 2018-2019, 2020-2021, and 2022, each presenting distinct policy orientations in the realm of innovation. These findings are expected to stimulate further discussions among scholars and practitioners in the AI and innovation domains who have a keen interest in China's AI policy.
Author Information
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
Paper Information
Conference: KAMC2023
Stream: Other
This paper is part of the KAMC2023 Conference Proceedings (View)
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To cite this article:
Qu C., Kim E., Gokon H., & Ding W. (2023) The Characteristics of Chinese Artificial Intelligence Policies for Innovations in Industry: Policy Distribution and Inclination ISSN: 2436-0503 – The Kyoto Conference on Arts, Media & Culture 2023: Official Conference Proceedings https://doi.org/10.22492/issn.2436-0503.2023.36
To link to this article: https://doi.org/10.22492/issn.2436-0503.2023.36
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