中美成全球AI研究两极,其他国选择性融合。
Polarization and Integration in Global AI Research

- 用论文合作与引用数据,分析30年全球AI研究的分化与融合趋势。
- 美中在合作与引用上长期分裂,形成两大研究极点。
- 欧洲多国同时融入美中,发展中国家主要追随中国。
AI竞争加剧安全风险与国际紧张局势。美国限制人员与知识流动,试图维护优势;中国则推动全球治理倡议。两种策略均依赖跨国创新合作,但其演变机制尚不明确。本文基于大规模科学出版物数据,衡量过去三十年全球AI研究的极化与整合过程。通过比较实际跨国合作与引用关系与其随机对照结果,发现美国与中国在两个维度上长期分异,成为全球AI研究的核心两极。英国与德国仅与美国整合,而多数欧洲国家同时与两极趋同。发展中国家及新兴经济体则仅与中国的合作紧密,表明中国在全球AI研究格局中的影响力持续扩大。研究结果为各国科技政策与全球AI治理提供依据。
原文摘要 · Abstract (English)
The AI race amplifies security risks and international tensions. While the US restricts mobility and knowledge flows, challenges regulatory efforts to protect its advantage, China leads initiatives of global governance. Both strategies depend on cross-country relationships in AI innovation; yet, how this system evolves is unclear. Here, we measure the processes of polarization and integration in the global AI research over three decades by using large-scale data of scientific publications. Comparing cross-country collaboration and citation links to their random realizations, we find that the US and China have long diverged in both dimensions, forming two poles around which global AI research increasingly revolves. While the United Kingdom and Germany have integrated exclusively with the US, many European countries have converged with both poles. Developing and further developed countries, however, only integrate with China, signaling its expanding influence over the international AI research landscape. Our results inform national science policies and efforts toward global AI regulations.
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