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

Trends in Robotics Patents

Margarita Konaev and Sara Abdulla
| November 2021

Advances in robotics technology are having a transformative effect on how people work, travel, communicate, and fight wars. This data brief provides an overview of global trends in robotics patents between 2005 and 2019, focusing in particular on the state of robotics patenting in Russia, as well as developments in military robotics patents both in Russia and across the globe.

Reports

Harnessed Lightning

Ryan Fedasiuk, Jennifer Melot, and Ben Murphy
| October 2021

This report examines nearly 350 artificial intelligence-related equipment contracts awarded by the People’s Liberation Army and state-owned defense enterprises in 2020 to assess how the Chinese military is adopting AI. The report identifies China’s key AI defense industry suppliers, highlights gaps in U.S. export control policies, and contextualizes the PLA’s AI investments within China’s broader strategy to compete militarily with the United States.

Data Visualization

AI Education Catalog

Claire Perkins, Diana Gehlhaus, Kayla Goode, Jennifer Melot, Ehrik Aldana, Grace Doerfler, and Gayani Gamage
| October 2021

Created through a joint partnership between CSET and the AI Education Project, the AI Education Catalog aims to raise awareness of the AI-related programs available to students and educators, as well as to help inform AI education and workforce policy.

Reports

Mapping the AI Investment Activities of Top Global Defense Companies

Ngor Luong, Rebecca Gelles, and Melissa Flagg
| October 2021

Militaries around the world have often relied on the largest global defense companies to acquire and integrate cutting-edge technologies. This issue brief examines the investment and mergers and acquisition activities in artificial intelligence of the top 50 global defense companies — a key, if limited, approach to accessing AI innovation in the commercial sector — and assesses investment trends of their corporate venture capital subsidiaries and offers a geographic breakdown of defense companies and their AI target companies.

Formal Response

Recommendations for the National AI Research Resource Task Force

Dakota Cary
| September 27, 2021

CSET submitted this comment to the Office of Science and Technology Policy and the National Science Foundation to support the work of the National Artificial Intelligence Research Resource (NAIRR) Task Force to develop an implementation roadmap that would provide AI researchers and students across scientific disciplines access to computational resources, high-quality data, educational tools, and user support.

Data Brief

From Cold War Sanctions to Weaponized Interdependence

Adam Kline and Tim Hwang
| September 2021

As U.S. policymakers grapple with the need to control international technology flows, this annotated bibliography distills key lessons and surveys 50 years of scholarship, government documents, and commentary. The resources it presents are at the intersection of international economics and technology and span from the Cold War to the current challenges surrounding U.S.-China relations.

Reports

Small Data’s Big AI Potential

Husanjot Chahal, Helen Toner, and Ilya Rahkovsky
| September 2021

Conventional wisdom suggests that cutting-edge artificial intelligence is dependent on large volumes of data. An overemphasis on “big data” ignores the existence—and underestimates the potential—of several AI approaches that do not require massive labeled datasets. This issue brief is a primer on “small data” approaches to AI. It presents exploratory findings on the current and projected progress in scientific research across these approaches, which country leads, and the major sources of funding for this research.

Reports

Headline or Trend Line?

Margarita Konaev, Andrew Imbrie, Ryan Fedasiuk, Emily S. Weinstein, Katerina Sedova, and James Dunham
| August 2021

Chinese and Russian government officials are keen to publicize their countries’ strategic partnership in emerging technologies, particularly artificial intelligence. This report evaluates the scope of cooperation between China and Russia as well as relative trends over time in two key metrics of AI development: research publications and investment. The findings expose gaps between aspirations and reality, bringing greater accuracy and nuance to current assessments of Sino-Russian tech cooperation.

Data Brief

China’s Robotics Patent Landscape

Sara Abdulla
| August 2021

Since 2011, China has dramatically grown its robotics sector as part of its mission to achieve technological leadership. The Chinese government has encouraged this growth through incentives and, in some cases, subsidies. Patents in robotics have surged, particularly at Chinese universities; by contrast, private companies comprise the bulk of robotics patent filers around the world. China has also seen a corresponding growth in robotics purchasing and active robotics stock. This data brief explores the trends in robotics patent families published from China as a measure of robotics advancement and finds that China is on track to emerge as a world leader in robotics.

Reports

Ending Innovation Tourism

Melissa Flagg and Jack Corrigan
| July 2021

As dual-use technologies transform the national security landscape, the U.S. Department of Defense has established a variety of offices and programs dedicated to bringing private sector innovation into the military. However, these efforts have largely failed to drive cutting-edge commercial technology into major military platforms and systems. This report examines the shortcomings of the DOD’s current approach to defense innovation and offers recommendations for a more effective strategy.