人工智能国际影响力是衡量国家科技竞争力的关键指标。文章针对现有人工智能评价体系基于人才、数据、资本等传统要素构建，难以有效评估我国人工智能国际影响力关键维度的问题，构建了包含多维指标的中国特色人工智能评价体系。首先，系统梳理有关人工智能国际影响力的研究进展；其次，建立包含国际学术影响力、国际技术影响力、国际产业影响力与国际组织影响力在内的层级递进的影响力模型；最后，设计包含4项一级指标、15项二级指标及44项三级指标的人工智能国际影响力分层评价体系，并采用层次分析法确定各指标权重。该体系为我国在全球人工智能版图中找准定位、提升话语权及影响力提供了量化工具，为我国人工智能领域的战略布局与发展路径优化提供了理论支持。

International influence in artificial intelligence serves as a pivotal benchmark for assessing a nation’s technological competitiveness. This study addresses the limitation that existing evaluation systems, constructed on traditional factors such as talent, data, and capital, struggle to effectively assess the critical dimensions of China’s international influence in artificial intelligence. It develops a China-specific evaluation framework incorporating multidimensional indicators. The methodology proceeds in three stages: a systematic review of global research trends on AI international influence; development of a hierarchical influence model integrating academic, technological, industrial, and organizational dimensions and design of a multi-tiered evaluation system featuring 4 primary indicators, 15 secondary indicators, and 44 tertiary indicators, with weights determined through the Analytic Hierarchy Process (AHP). This framework provides quantitative tools for China to accurately position itself within the global AI landscape, enhances its discourse power and influence, and offers theoretical support for optimizing strategic layout and development paths in China’s AI domain.