Reports

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 2025 Annual Report

Center for Security and Emerging Technology
| March 31, 2026

Each year, CSET’s annual report highlights our work and impact across technology and security issues. It shows how our research, convening, and engagement contribute to important policy conversations on emerging technologies.

In 2025, CSET advanced its mission to inform high-stakes decisions through rigorous, evidence-based analysis of the security implications of emerging technologies. Our independent research examines issues at the intersection of technology and security.

You can view a web version of our annual report or download it below.

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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.

See our original translation of a 2021 PRC think tank white paper about government standards-setting related to AI.

Reports

AI Education in China and the United States

Dahlia Peterson, Kayla Goode, and Diana Gehlhaus
| September 2021

A globally competitive AI workforce hinges on the education, development, and sustainment of the best and brightest AI talent. This issue brief compares efforts to integrate AI education in China and the United States, and what advantages and disadvantages this entails. The authors consider key differences in system design and oversight, as well as strategic planning. They then explore implications for the U.S. national security community.

National security leaders view AI as a priority technology for defending the United States. This two-part analysis is intended to help policymakers better understand the scope and implications of U.S. military investment in autonomy and AI. It focuses on the range of autonomous and AI-enabled technologies the Pentagon is developing, the military capabilities these applications promise to deliver, and the impact that such advances could have on key strategic issues.

Reports

Open-Source Intelligence for S&T Analysis

Tarun Chhabra, William Hannas, Dewey Murdick, and Anna Puglisi
| September 2020

Establishing a new open-source National Science and Technology Analysis Center

Reports

The Huawei Moment

Alex Rubin, Alan Omar Loera Martinez, Jake Dow, and Anna Puglisi
| July 2021

For the first time, a Chinese company—Huawei—is set to lead the global transition from one key national security infrastructure technology to the next. How did Washington, at the beginning of the twenty-first century, fail to protect U.S. firms in this strategic technology and allow a geopolitical competitor to take a leadership position in a national security relevant critical infrastructure such as telecommunications? This policy brief highlights the characteristics of 5G development that China leveraged, exploited, and supported to take the lead in this key technology. The Huawei case study is in some ways the canary in the coal mine for emerging technologies and an illustration of what can happen to U.S. competitiveness when China’s companies do not have to base decisions on market forces.

Reports

Trusted Partners

Margarita Konaev, Tina Huang, and Husanjot Chahal
| February 2021

As the U.S. military integrates artificial intelligence into its systems and missions, there are outstanding questions about the role of trust in human-machine teams. This report examines the drivers and effects of such trust, assesses the risks from too much or too little trust in intelligent technologies, reviews efforts to build trustworthy AI systems, and offers future directions for research on trust relevant to the U.S. military.

Reports

Decoding Intentions

Andrew Imbrie, Owen Daniels, and Helen Toner
| October 2023

How can policymakers credibly reveal and assess intentions in the field of artificial intelligence? Policymakers can send credible signals of their intent by making pledges or committing to undertaking certain actions for which they will pay a price—political, reputational, or monetary—if they back down or fail to make good on their initial promise or threat. Talk is cheap, but inadvertent escalation is costly to all sides.

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.

Reports

China’s Advanced AI Research

William Hannas, Huey-Meei Chang, Daniel Chou, and Brian Fleeger
| July 2022

China is following a national strategy to lead the world in artificial intelligence by 2030, including by pursuing “general AI” that can act autonomously in novel circumstances. Open-source research identifies 30 Chinese institutions engaged in one or more of this project‘s aspects, including machine learning, brain-inspired AI, and brain-computer interfaces. This report previews a CSET pilot program that will track China’s progress and provide timely alerts.