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https://hdl.handle.net/10356/180123
Title: | Development of new generation of artificial intelligence in China: when Beijing's global ambitions meet local realities | Authors: | Khanal, Shaleen Zhang, Hongzhou Taeihagh, Araz |
Keywords: | Social Sciences | Issue Date: | 2024 | Source: | Khanal, S., Zhang, H. & Taeihagh, A. (2024). Development of new generation of artificial intelligence in China: when Beijing's global ambitions meet local realities. Journal of Contemporary China, 2333492-. https://dx.doi.org/10.1080/10670564.2024.2333492 | Project: | AISG3-GV-2021-002 | Journal: | Journal of Contemporary China | Abstract: | How did China become one of the leaders in AI development, and will China prevail in the ongoing AI race with the US? Existing studies have focused on the Chinese central government’s role in promoting AI. Notwithstanding the importance of the central government, a significant portion of the responsibility for AI development falls on local governments’ shoulders. Local governments have diverging interests, capacities and, therefore, approaches to promoting AI. This poses an important question: How do local governments respond to the central government’s policies on emerging technologies, such as AI? This article answers this question by examining the convergence or divergence of central and local priorities related to AI development by analysing the central and local AI policy documents and the provincial variations by focusing on the diffusion of the New Generation Artificial Intelligence Development Plan (NGAIDP) in China. Using a unique dataset of China’s provincial AI-related policies that cite the NGAIDP, the nature of diffusion of the NGAIDP is examined by conducting content analysis and fuzzy-set Qualitative Comparative Analysis (fsQCA). This study highlights the important role of local governments in China’s AI development and emphasises examining policy diffusion as a political process. | URI: | https://hdl.handle.net/10356/180123 | ISSN: | 1067-0564 | DOI: | 10.1080/10670564.2024.2333492 | Schools: | S. Rajaratnam School of International Studies | Rights: | © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4. 0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | RSIS Journal Articles |
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