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.

Filter publications
Reports

Volunteer Force

Christine H. Fox and Emelia Probasco
| May 2023

U.S. tech companies have played a critical role in the international effort to support and defend Ukraine against Russia. To better understand and envision how these companies can help U.S. strategic interests, CSET convened a group of industry experts and former government leaders to discuss lessons learned from the ongoing war in Ukraine and what those lessons might mean for the future. The workshop’s discussion and this accompanying report expand on the themes explored in the October 2022 "Foreign Affairs" article, "Big Tech Goes to War."

Data Brief

“The Main Resource is the Human”

Micah Musser, Rebecca Gelles, Ronnie Kinoshita, Catherine Aiken, and Andrew Lohn
| April 2023

Progress in artificial intelligence (AI) depends on talented researchers, well-designed algorithms, quality datasets, and powerful hardware. The relative importance of these factors is often debated, with many recent “notable” models requiring massive expenditures of advanced hardware. But how important is computational power for AI progress in general? This data brief explores the results of a survey of more than 400 AI researchers to evaluate the importance and distribution of computational needs.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

Reports

Viral Families and Disease X: A Framework for U.S. Pandemic Preparedness Policy

Caroline Schuerger, Steph Batalis, Katherine Quinn, Amesh Adalja, and Anna Puglisi
| April 2023

Pandemic threats are increasing as globalization, urbanization, and encroachment on animal habitats cause infectious outbreaks to become more frequent and severe. It is imperative that the United States build a pipeline of medical countermeasure development, beginning with basic scientific research and culminating in approved therapies. This report assesses preparedness for families of viral pathogens of pandemic potential and offers recommendations for steps the U.S. government can take to prepare for future pandemics.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

This is a Chinese translation of Secretary of Commerce Gina Raimondo's Feb 23, 2023 speech at Georgetown University’s School of Foreign Service, titled “The CHIPS Act and a Long-term Vision for America’s Technological Leadership.”

Translation

Kína külföldi technológiára irányuló kívánság listája

Ryan Fedasiuk, Emily S. Weinstein, and Anna Puglisi
| April 6, 2023

This is a Hungarian translation of the May 2021 CSET Issue Brief “China’s Foreign Technology Wish List.”

Translation

«Список пожеланий» Китая в области иностранных технологий

Ryan Fedasiuk, Emily S. Weinstein, and Anna Puglisi
| April 6, 2023

This is a Russian translation of the May 2021 CSET Issue Brief “China’s Foreign Technology Wish List.”

Read our original translation of an article that describes China’s “National Security Academic Fund,” which supports the China Academy of Engineering Physics (CAEP), China’s nuclear weapons research, development, and testing laboratory.

Reports

Adversarial Machine Learning and Cybersecurity

Micah Musser
| April 2023

Artificial intelligence systems are rapidly being deployed in all sectors of the economy, yet significant research has demonstrated that these systems can be vulnerable to a wide array of attacks. How different are these problems from more common cybersecurity vulnerabilities? What legal ambiguities do they create, and how can organizations ameliorate them? This report, produced in collaboration with the Program on Geopolitics, Technology, and Governance at the Stanford Cyber Policy Center, presents the recommendations of a July 2022 workshop of experts to help answer these questions.