Please use this identifier to cite or link to this item: 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

SCOPUSTM   
Citations 50

6
Updated on May 1, 2025

Page view(s)

132
Updated on May 6, 2025

Download(s) 50

121
Updated on May 6, 2025

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.