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.

Filter publications
Translation

한국 AI 생태계 분석

Cole McFaul, Husanjot Chahal, Rebecca Gelles, and Margarita Konaev
| August 18, 2023

This is a Korean translation of the August 2023 CSET Data Brief "Assessing South Korea's AI Ecosystem."

Data Brief

Assessing South Korea’s AI Ecosystem

Cole McFaul, Husanjot Chahal, Rebecca Gelles, and Margarita Konaev
| August 2023

This data brief examines South Korea’s progress in its development of artificial intelligence. The authors find that the country excels in semiconductor manufacturing, is a global leader in the production of AI patents, and is an important contributor to AI research. At the same time, the AI investment ecosystem remains nascent and despite having a highly developed AI workforce, the demand for AI talent may soon outpace supply.

Data Brief

U.S. and Chinese Military AI Purchases

Margarita Konaev, Ryan Fedasiuk, Jack Corrigan, Ellen Lu, Alex Stephenson, Helen Toner, and Rebecca Gelles
| August 2023

This data brief uses procurement records published by the U.S. Department of Defense and China’s People’s Liberation Army between April and November of 2020 to assess, and, where appropriate, compare what each military is buying when it comes to artificial intelligence. We find that the two militaries are prioritizing similar application areas, especially intelligent and autonomous vehicles and AI applications for intelligence, surveillance and reconnaissance.

Read our translation of a document that announces China’s 2023 research priorities in explainable and generalizable artificial intelligence methods. It also provides state funds for projects related to these priorities, and explains how Chinese AI researchers can apply for funding. Applications of AI in medicine, biology, physics, materials science, and mathematics are prominent among the 2023 priorities.

Reports

Confidence-Building Measures for Artificial Intelligence

Andrew Lohn
| August 3, 2023

Foundation models could eventually introduce several pathways for undermining state security: accidents, inadvertent escalation, unintentional conflict, the proliferation of weapons, and the interference with human diplomacy are just a few on a long list. The Confidence-Building Measures for Artificial Intelligence workshop hosted by the Geopolitics Team at OpenAI and the Berkeley Risk and Security Lab at the University of California brought together a multistakeholder group to think through the tools and strategies to mitigate the potential risks introduced by foundation models to international security.

Identifying emerging technologies is critical to governments, the private sector, and researchers, but these groups lack a shared analytical approach when it comes to assessing the trajectories of new technologies. To better calibrate efforts to protect and promote emerging technologies, supply chain security research provides a mature, relevant analytical framework. This report offers policymakers a template to map emerging technology supply chains using two tools developed by CSET's Emerging Technology Observatory: the Map of Science and the Supply Chain Explorer.

Reports

The Race for U.S. Technical Talent

Diana Gehlhaus, James Ryseff, and Jack Corrigan
| August 2023

Technical talent is vital to innovation and economic growth, and attracting these highly mobile workers is critical to staying on the cutting-edge of the technological frontier. Conventional wisdom holds that the defense community generally struggles to access this talent pool. This policy brief uses LinkedIn data to track the movement of tech workers between industries and metro areas, with a particular focus on the U.S. Department of Defense, the defense industrial base, and the so-called “Big Tech” companies.

CSET submitted the following comment in response to a Request for Information (RFI) from the National Science Foundation (NSF) about the development of the newly established Technology, Innovation, and Partnerships (TIP) Directorate, in accordance with the CHIPS and Science Act of 2022.

Reports

Adding Structure to AI Harm

Mia Hoffmann and Heather Frase
| July 2023

Real-world harms caused by the use of AI technologies are widespread. Tracking and analyzing them improves our understanding of the variety of harms and the circumstances that lead to their occurrence once AI systems are deployed. This report presents a standardized conceptual framework for defining, tracking, classifying, and understanding harms caused by AI. It lays out the key elements required for the identification of AI harm, their basic relational structure, and definitions without imposing a single interpretation of AI harm. The brief concludes with an example of how to apply and customize the framework while keeping its modular structure.

Jenny Jun's testimony before the House Foreign Affairs Subcommittee on Indo-Pacific for a hearing titled, "Illicit IT: Bankrolling Kim Jong Un."