Countries, companies, and universities are increasingly competing over top-tier artificial intelligence (AI) researchers. Where are these researchers likely to immigrate and what affects their immigration decisions? We conducted a survey $(n = 524)$ of the immigration preferences and motivations of researchers that had papers accepted at one of two prestigious AI conferences: the Conference on Neural Information Processing Systems (NeurIPS) and the International Conference on Machine Learning (ICML). We find that the U.S. is the most popular destination for AI researchers, followed by the U.K., Canada, Switzerland, and France. A country's professional opportunities stood out as the most common factor that influences immigration decisions of AI researchers, followed by lifestyle and culture, the political climate, and personal relations. The destination country's immigration policies were important to just under half of the researchers surveyed, while around a quarter noted current immigration difficulties to be a deciding factor. Visa and immigration difficulties were perceived to be a particular impediment to conducting AI research in the U.S., the U.K., and Canada. Implications of the findings for the future of AI talent policies and governance are discussed.
翻译:国家、公司和大学在顶层人工智能(AI)研究人员方面竞争日益激烈。这些研究人员可能移民到哪里,哪些影响他们的移民决定?我们调查了在两个著名的AI会议之一,即神经信息处理系统会议(NeurIPS)和国际机器学习会议(ICML)上接受论文的研究人员的移民偏好和动机(n=524美元)。我们发现,美国是AI研究人员最受欢迎的目的地,其次是英国、加拿大、瑞士和法国。一个国家的专业机会是影响AI研究人员移民决定的最常见因素,其次是生活方式和文化、政治气候和个人关系。对受调查的研究人员中近一半来说,目的地国的移民政策很重要,而大约四分之一的研究人员注意到目前移民困难成为决定性因素。签证和移民困难被认为是美国、英国和加拿大进行AI研究的一个特别障碍。对AI人才政策和治理未来的影响。