Bulletin of Chinese Academy of Sciences (Chinese Version)
Keywords
artificial intelligence, astronomy, deep integration, large-scale scientific facilities, policy pathways
Abstract
To alleviate the bottlenecks hindering the integrated development of artificial intelligence and astronomy in China and to reinforce the country’s strategic edge in science and technology, this study uses systematic analysis and path-comparison approaches to examine the policy requirements for their deep integration. The findings indicate that this topic is closely tied to global competition in science and technology, strategic security, and industrial upgrading. At present, the world has entered a new “astronomy + AI” paradigm, with the United States and the European Union already having taken the lead in establishing corresponding strategic frameworks. Leveraging major scientific infrastructures such as FAST, LAMOST, LHAASO, CSST, EP, Insight-HXMT, and DAMPE, China has made staged advances, yet it still faces four key weaknesses, including delayed progress in multi-modal data governance, insufficient interdisciplinary collaboration, weak intelligent observation and response capacity, and lack of interpretability for AI models. In response, this study outlines three policy pathways and, following a comprehensive assessment, identifies the optimal route as a coordinated promotion model that rests on “national special projects as the cornerstone, industry–academia–research collaboration as the main driver, and international cooperation as a complementary force.” Consequently, it is essential to construct an integrated innovation system that realizes four-dimensional linkage among facilities, algorithms, talent, and industry, with the aim of addressing existing development gaps, bolstering China’s competitiveness in the global astronomical AI arena, and underpinning both basic scientific progress and the nation’s science-and-technology strategic security.
First page
1162
Last Page
1168
Language
Chinese
Publisher
Bulletin of Chinese Academy of Sciences
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
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Recommended Citation
CHANG, Jin; SONG, Yihan; DU, Bing; WU, Kefei; LUO, Ali; and LIU, Jifeng
(2026)
"Artificial intelligence for astronomy: Strategic opportunities, policy challenges and development strategies,"
Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 41
:
Iss.
6
, Article 9.
DOI: https://doi.org/10.3724/j.issn.1000-3045.20260512001
Available at:
https://bulletinofcas.researchcommons.org/journal/vol41/iss6/9


