Polarization and Integration in Global AI Research
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Abstract (arXiv)
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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References · 7
- 2022OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and conceptscited by 177
- 2018The Statistical Physics of Real-World Networkscited by 7
- 2023China and the U.S. produce more impactful AI research when collaborating togethercited by 6
- 2014Unbiased sampling of network ensemblescited by 3
- 2016Growth of International Cooperation in Science: Revisiting Six Case Studiescited by 3
- 2013Enhanced reconstruction of weighted networks from strengths and degreescited by 2
- 2013Is Europe Evolving Toward an Integrated Research Area?cited by 1
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