Publications

CSET produces evidence-driven analysis in a variety of forms, from informative graphics and translations to expert testimony and published reports. Our key areas of inquiry are the foundations of artificial intelligence — such as talent, data and computational power — as well as how AI can be used in cybersecurity and other national security settings. We also do research on the policy tools that can be used to shape AI’s development and use, and on biotechnology.

Report

CSET’s 2024 Annual Report

Center for Security and Emerging Technology
| March 2025

In 2024, CSET continued to deliver impactful, data-driven analysis at the intersection of emerging technology and security policy. Explore our annual report to discover key research highlights, expert testimony, and new analytical tools — all aimed at shaping informed, strategic decisions around AI and emerging tech.

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Data Brief

China’s Use of AI in its COVID-19 Response

Emily S. Weinstein
| August 2020

The current global pandemic has given China a chance to amplify its efforts to apply artificial intelligence across the public and private spheres. Chinese companies are developing and retooling AI systems for control and prevention. This data brief assesses the types of AI technologies used to fight COVID-19 and the key players involved in this industry.

Reports

Mainframes: A Provisional Analysis of Rhetorical Frames in AI

Andrew Imbrie, James Dunham, Rebecca Gelles, and Catherine Aiken
| August 2020

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.

The world is watching how the Chinese military develops and deploys artificial intelligence—but how exactly will it apply AI? This policy brief analyzes Chinese experts’ arguments about AI and prospective warfighting capabilities, identifying prevailing concerns about strategic stability and unintended escalation.

Reports

Overseas Professionals and Technology Transfer to China

Ryan Fedasiuk and Emily S. Weinstein
| July 21, 2020

China's government encourages members of the Chinese diaspora to engage in technology transfer through Chinese professional associations. This issue brief analyzes 208 such associations to assess the scope of technical exchange between overseas professionals and entities within China.

Reports

The China Scholarship Council: An Overview

Ryan Fedasiuk
| July 2020

The Chinese government seeks to exert influence through its scholarship and exchange programs. This issue brief assembles a picture of the China Scholarship Council—the primary vehicle by which the state provides scholarships—through Chinese-language sources.

Data Brief

Global R&D and a New Era of Alliances

Melissa Flagg
| June 2020

Research and development funding and technological leadership are crucial to sustaining America’s comparative advantages. While the prevailing narrative suggests that China leads in a bipolar competition, in reality, the United States and its allies comprise a majority of global R&D.

Reports

Shaping the Terrain of AI Competition

Tim Hwang
| June 2020

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.

Data Brief

AI Hubs in the United States

Justin Olander and Melissa Flagg
| May 2020

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.