Roxanne Heston

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Roxanne Heston was a Department of State CSET Fellow at the U.S. Department of State. Before starting at State, she served as a Research Analyst at CSET.  She recently completed her masters’ degree in Security Studies at Georgetown University.  Previously, Roxanne assisted research by Richard Danzig, Ben Buchanan, and the Center for the Governance of AI (GovAI). She received a B.S. in Economics with honors on a full scholarship from Tulane University, where she was an Altman Scholar in International Studies & Business and a member of Omicron Delta Kappa.

Many factors influence where U.S. tech multinational corporations decide to conduct their global artificial intelligence research and development (R&D). Company AI labs are spread all over the world, especially in North America, Europe and Asia. But in contrast to AI labs, most company AI staff remain concentrated in the United States. Roxanne Heston and Remco Zwetsloot explain where these companies conduct AI R&D, why they select particular locations, and how they establish their presence there. The report is accompanied by a new open-source dataset of more than 60 AI R&D labs run by these companies worldwide.

A sustained talent shortage could undermine U.S. strength in artificial intelligence; current immigration policies would make it worse. Read our recommendations for bolstering U.S. leadership in AI research and practice.

As the artificial intelligence field becomes more developed globally, the United States will continue to rely on foreign AI talent to stay ahead of the curve. Here are our preliminary recommendations to maintain current U.S. leadership, bolster the domestic AI workforce and improve the outlook for the future.