[Purpose/Significance] International Artificial Intelligence (AI) alliances serve as crucial platforms for promoting the integration of artificial intelligence resources and fostering collaborative innovation. Analyzing their systemic structures can provide strategic references for the development of similar alliances in China. [Method/Process] Drawing on the triadic structural model of information ecology theory, this paper constructed an analytical framework from three dimensions: ontology, subject, and environment. By integrating thematic analysis with tools such as ArcGIS and Gephi, it systematically examined the core topics, member composition, and operational foundations of international AI alliances. Furthermore, it extracted the synergistic interaction mechanisms among the elements of the information ecology. [Result/Conclusion] International AI alliances, grounded in technological infrastructure and knowledge resource sharing, have formed six major core themes. The alliance members mainly consist of four types of entities, i.e. enterprises, non-profit organizations, research institutions, and government or public agencies. The institutional environment plays a dual regulatory role in alliance operations, while the social environment may subtly influence their value orientation. The evolution of alliance forms is closely tied to generational leaps in technology and exhibits a “center-periphery” spatial distribution pattern. There are three types of interactions among information ecological elements: horizontal, vertical, and cross-dimensional. Based on these findings, the future development of AI alliances in China should focus on introducing diverse members to enhance subject density, providing targeted policy support to optimize the information environment, and advocating for an open-source culture to facilitate information flow. These efforts will help strengthen China’s competitiveness and discourse power in the global AI arena.
Xu Linnan
,
Tao Rui
,
Zhu Wanning
,
Shao Bo
. A Systematic Deconstruction and Collaboration Mechanism of International AI Alliances from the Perspective of Information Ecology Theory[J]. Library and Information Service, 2026
, 70(12)
: 43
-54
.
DOI: 10.13266/j.issn.0252-3116.2026.12.004
[1] GULATI R. Alliances and networks[J]. Strategic management journal, 1998, 19(4): 293-317.
[2] AI Alliance. What is the AI Alliance?[EB/OL]. [2025-09-07]. https://thealliance.ai/about-aia.
[3] SHARMA R. AI partnerships and alliances[M]//AI and the boardroom. Berkeley, CA: Apress, 2024: 119-126.
[4] SCHMIDT A S. The influence of artificial intelligence on strategic alliance formation: evaluating the integration and impact on traditional frameworks and processes[D]. Portugal: Universidade Católica Portuguesa, 2024.
[5] 张涛, 马海群. 中国人工智能政策主题热点及演进分析[J]. 现代情报, 2021, 41(11): 150-160. (ZHANG T, MA H Q. Hot topics and evolution analysis of China’s artificial intelligence policy[J]. Journal of modern information, 2021, 41(11): 150-160.)
[6] 何哲. 通向人工智能时代——兼论美国人工智能战略方向及对中国人工智能战略的借鉴[J]. 电子政务, 2016(12): 2-10. (HE Z. Toward the era of artificial intelligence: on the U.S. artificial intelligence strategy and its implications for China’s AI strategy[J]. E-Government, 2016(12): 2-10.)
[7] JUSTO-HANANI R. The politics of artificial intelligence regulation and governance reform in the European Union[J]. Policy sciences, 2022, 55(1): 137-159.
[8] 戢仕铭. 俄罗斯人工智能发展的能力约束及参与全球价值链的困境评估[J]. 国际关系研究, 2020(1): 91-109, 157. (JI S M. Capability constraints for the development of artificial intelligence in Russia and evaluation for Russia’s dilemma of participation in global value chain[J]. Journal of international relations, 2020(1): 91-109, 157.)
[9] 汤志伟, 雷鸿竹, 周维. 中美人工智能产业政策的比较研究——基于目标、工具与执行的内容分析[J]. 情报杂志, 2019, 38(10): 73-80. (TANG Z W, LEI H Z, ZHOU W. A comparative study of Artificial Intelligence industry policies in China and the United States: content analysis based on objectives, tools and implementation[J]. Journal of intelligence, 2019, 38(10): 73-80.)
[10] 邓胜利, 丁威威, 汪璠, 等. “工具-结构”视角下国内外生成式人工智能监管政策比较研究[J].信息资源管理学报, 2025, 15(1): 54-68. (DENG S L, DING W W, WANG F, et al. A multinational comparative study of regulatory policies for generative AI from the perspective of “Tools-Structure”[J]. Journal of information resources management, 2025, 15(1): 54-68.)
[11] HORTON F W. Information ecology[J]. Journal of systems management, 1978, 29(9): 32-36.
[12] CAPURRO R. Towards an information ecology[C]//Nordinfo seminar on information quality: definitions and dimensions. London: Taylor Graham, 1990: 122.
[13] DAVENPORT T H, PRUSAK L. Information ecology: mastering the information and knowledge environment[M]. Oxford: Oxford University Press, 1997: 15.
[14] NARDI B A, O’DAY V. Information ecologies: using technology with heart[M]. Cambridge: MIT Press, 2000.
[15] 杨雨娇, 袁勤俭. 信息生态理论其在信息系统研究领域的应用及展望[J]. 现代情报, 2022, 42(5): 140-148. (YANG Y J, YUAN Q J. Information ecology and its application and prospect in the field of information system research[J]. Journal of modern information, 2022, 42(5): 140-148.)
[16] 金潞. 生态系统视域下的图书馆政府舆情信息服务质量评价研究[J]. 图书馆学研究, 2020(13): 68-75, 95. (JIN L. Research on library government public opinion information service quality evaluation from the perspective of ecosystem[J]. Research on library science, 2020(13): 68-75, 95.)
[17] 丁波涛. 基于信息生态理论的数据要素市场研究[J]. 情报理论与实践, 2022, 45(12): 36-41, 59. (DING B T. Research on data marketplace based on information ecology theory[J]. Information studies: theory & application, 2022, 45(12): 36-41, 59.)
[18] 王晰巍, 曹茹烨, 杨梦晴, 等. 微信用户信息共享行为影响因素模型及实证研究——基于信息生态视角的分析[J]. 图书情报工作, 2016, 60(15): 6-13, 5. (WANG X W, CAO R Y, YANG M Q, et al. An empirical study of influence factors on We Chat user information sharing behavior: based on the perspective of information ecology[J]. Library and information service, 2016, 60(15): 6-13, 5.)
[19] 王晰巍, 靖继鹏, 刘明彦, 等. 电子商务中的信息生态模型构建实证研究[J]. 图书情报工作, 2009, 53(22): 128-132. (WANG X W, JING J P, LIU M Y, et al. Empirical research on the construction of information ecological model in E-commerce[J]. Library and information service, 2009, 53(22): 128-132.)
[20] G20. Members[EB/OL]. [2025-09-07]. https://g20.org/about-g20/g20-members/.
[21] 娄策群. 信息生态系统理论及其应用研究[M]. 北京: 中国社会科学出版社, 2014. (LOU C Q. Theory and application of information ecosystem[M]. Beijing: China Social Sciences Press, 2014.)
[22] BRAUN V, CLARKE V. Using thematic analysis in psychology[J]. Qualitative research in psychology, 2008, 3(2): 77-101.
[23] PAI. About ML[EB/OL]. [2025-09-07]. https://partnershiponai.org/workstream/about-ml/.
[24] AI Alliance. Guide to essential competencies for AI[EB/OL]. [2025-09-07]. https://thealliance.ai/core-projects/guide-to-essential-competencies-for-ai.
[25] AI Alliance Network. Education & Skills[EB/OL]. [2025-09-07]. https://aianet.org/education/.
[26] OECD. About the global partnership on Artificial Intelligence (GPAI)[EB/OL]. [2025-09-07]. https://oecd.ai/en/about/about-gpai.
[27] Sustainability AI Coalition. Inventory of use cases[EB/OL]. [2025-09-07]. https://www.sustainableaicoalition.org/inventory-of-use-cases/.
[28] AI Infrastructure Alliance. AI infrastructure landscape[EB/OL]. [2025-09-07]. https://ai-infrastructure.org/ai-infrastructure-landscape/.
[29] BUZAN B, LAWSON G. The global transformation: history, modernity and the making of international relations[M]. Cambridge: Cambridge University Press, 2015.
