Development of new generation of artificial intelligence in China: (Record no. 47982)
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fixed length control field | 02128nam a22002057a 4500 |
001 - CONTROL NUMBER | |
control field | 47982 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OSt |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250519144959.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 250519b |||||||| |||| 00| 0 eng d |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | KHANAL Shaleen |
Relator term | author |
245 ## - TITLE STATEMENT | |
Title | Development of new generation of artificial intelligence in China: |
Remainder of title | when Beijing’s global ambitions meet local realities / |
Statement of responsibility, etc. | Shaleen Khanal, Hongzhou Zhang and Araz Taeihagh |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Date of publication, distribution, etc. | 2025 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | 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. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | ARTIFICIAL INTELLIGENCE |
Geographic subdivision | CHINA |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | ZHANG Hongzhou |
Relator term | author |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | TAEIHAGH Araz |
Relator term | author |
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Related parts | Journal of Contemporary China, Volume 34, Number 151, January 2025, pages: 19-42 |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://www.tandfonline.com/doi/full/10.1080/10670564.2024.2333492">https://www.tandfonline.com/doi/full/10.1080/10670564.2024.2333492</a> |
Public note | Click here for full text |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Journal Article |
Suppress in OPAC | No |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Date last seen | Price effective from | Koha item type |
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Dewey Decimal Classification | Mindef Library & Info Centre | Mindef Library & Info Centre | Journals | 19/05/2025 | ARTIFICIAL INTELLIGENCE | 19/05/2025 | 19/05/2025 | Journal Article |