[目的/意义] 国际AI联盟是促进人工智能领域资源整合与协同创新的重要平台，剖析其系统结构有助于为我国相关联盟的建设提供策略参考。[方法/过程] 基于信息生态理论的三元结构模型，从本体、主体、环境3个维度构建分析框架，结合主题分析法与ArcGIS、Gephi等工具，对国际AI联盟的核心议题、成员构成及其运行基础进行系统剖析，并提炼出信息生态要素之间的协同互动机制。[结果/结论] 国际AI联盟依托技术基础设施与知识资源共享，形成6个核心议题；联盟成员主要包括企业、非营利组织、科研机构、政府与公共机构4类主体；制度环境对联盟运行具有双向调节作用，社会环境可能会影响其价值导向；联盟的形态演进与技术的代际跃迁密切相关，在空间分布上呈现“中心－边缘”布局；信息生态要素之间存在横向、纵向与交叉三种互动关系。基于此，未来我国AI联盟建设应注重多元化成员的引入以提高主体密度，提供精准政策支持来优化信息环境，并倡导开源文化促进信息流动，从而强化我国在全球AI领域的竞争力与话语权。
[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.
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