AlShebli Bedoor, Memon Shahan Ali, Evans James A, Rahwan Talal
Social Science Division, New York University, Abu Dhabi, UAE.
Information School, University of Washington, WA, USA.
Sci Rep. 2024 Nov 19;14(1):28576. doi: 10.1038/s41598-024-79863-5.
Artificial Intelligence (AI) has become a disruptive technology, promising to grant a significant economic and strategic advantage to nations that harness its power. China, with its recent push towards AI adoption, is challenging the U.S.'s position as the global leader in this field. Given AI's massive potential, as well as the fierce geopolitical tensions between China and the U.S., several recent policies have been put in place to discourage AI scientists from migrating to, or collaborating with, the other nation. Nevertheless, the extent of talent migration and cross-border collaboration are not fully understood. Here, we analyze a dataset of over 350,000 AI scientists and 5,000,000 AI papers. We find that since 2000, China and the U.S. have led the field in terms of impact, novelty, productivity, and workforce. Most AI scientists who move to China come from the U.S., and most who move to the U.S. come from China, highlighting a notable bidirectional talent migration. Moreover, the vast majority of those moving in either direction have Asian ancestry. Upon moving, those scientists continue to collaborate frequently with those in the origin country. Although the number of collaborations between the two countries has increased since the dawn of the millennium, such collaborations continue to be relatively rare. A matching experiment reveals that the two countries have always been more impactful when collaborating than when each works without the other. These findings suggest that instead of suppressing cross-border migration and collaboration between the two nations, the science could benefit from promoting such activities.
人工智能(AI)已成为一项颠覆性技术,有望为利用其力量的国家带来显著的经济和战略优势。随着中国近期大力推动人工智能的应用,正挑战美国在这一领域的全球领先地位。鉴于人工智能的巨大潜力,以及中美之间激烈的地缘政治紧张关系,最近出台了几项政策,以阻止人工智能科学家前往另一国家或与该国合作。然而,人才迁移和跨境合作的程度尚未完全明晰。在此,我们分析了一个包含超过35万名人工智能科学家和500万篇人工智能论文的数据集。我们发现,自2000年以来,中国和美国在影响力、新颖性、生产力和劳动力方面一直引领该领域。大多数前往中国的人工智能科学家来自美国,而大多数前往美国的科学家来自中国,这凸显了显著的双向人才迁移。此外,绝大多数在两个方向流动的人都有亚洲血统。迁移后,这些科学家继续与原籍国的同行频繁合作。尽管自千禧年伊始两国之间的合作数量有所增加,但此类合作仍然相对较少。一项匹配实验表明,两国合作时总是比各自单独行动更具影响力。这些发现表明,与其抑制两国之间的跨境迁移与合作,科学界可以从促进此类活动中受益。