CSET submitted the following comment to the Department of Homeland Security regarding a fixed time period of admission for nonimmigrant students, exchange visitors and representatives of foreign information media.

The global AI industry is booming, with privately held firms pulling in nearly $40 billion in disclosed investment in 2019 alone. U.S. companies continue to attract the majority of that funding—64 percent of it in 2019—but that lead is not guaranteed. This report analyzes AI investment data from 2015 to 2019 to help better understand trends in the global AI landscape.

The United States must adopt a new approach to R&D policy to optimize the diversity of the current system, manage the risks of system dispersion and deliver the benefits of R&D to society. This policy brief provides a new framework for understanding the U.S. R&D ecosystem and recommendations for repositioning the role of the federal government in R&D.

Preserving pathways for high-skilled foreign talent critical to U.S. leadership in artificial intelligence.

CSET Founding Director Jason Matheny testified before the House Budget Committee for its hearing, "Machines, Artificial Intelligence, & the Workforce: Recovering and Readying Our Economy for the Future." Dr. Matheny's full testimony as prepared for delivery can be found below.

Are great powers engaged in an artificial intelligence arms race? This issue brief explores the rhetorical framing of AI by analyzing more than 4,000 English-language articles over a seven-year period. Among its findings: a growing number of articles frame AI development as a competition, but articles using the competition frame represent a declining proportion of articles about AI.

How should democracies effectively compete against authoritarian regimes in the AI space? This report offers a “terrain strategy” for the United States to leverage the malleability of artificial intelligence to offset authoritarians' structural advantages in engineering and deploying AI.

With the increasing importance of artificial intelligence and the competition for AI talent, it is essential to understand the U.S. domestic industrial AI landscape. This data brief maps where AI talent is produced, where it concentrates, and where AI equity funding goes. This mapping reveals distinct AI hubs emerging across the country, with different growth rates, investment levels, and potential access to talent.

While AI innovation would presumably continue in some form without Big Tech, the authors find that breaking up the largest technology companies could fundamentally change the broader AI innovation ecosystem, likely affecting the development of AI applications for national security.

China’s strategy to grow its science and technology talent includes: 1) improving domestic education; 2) attracting overseas Chinese talent; and 3) attracting foreign talent. While China’s commitment to domestic education reform has achieved remarkable results, significant challenges remain.