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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Testimony

Advanced Technology: Examining Threats to National Security

Dewey Murdick
| September 19, 2023

CSET Executive Director Dr. Dewey Murdick testified before the Senate Homeland Security and Governmental Affairs Emerging Threats Subcommittee on challenges related to emerging technologies and national security.

This explainer defines criteria for effective AI Incident Collection and identifies tradeoffs between potential reporting models: mandatory, voluntary, and citizen reporting.

Translation

China’s Semiconductor-Related Export Controls

September 7, 2023

Read our translation of China’s semiconductor-related export control policies.

CSET Senior Fellow Anna Puglisi testifies before the Senate Energy and Natural Resources Committee on the DOE lab complex and the research security threats it faces.

Translation

Translation Snapshot: Chinese Overseas Talent Recruitment

Ben Murphy
| September 6, 2023

Translation Snapshots are short posts that highlight related translations produced by CSET’s in-house translation team. Each snapshot identifies relevant translations, provides short summaries, and links to the full translations. Check back regularly for additional Translation Snapshots highlighting our work.

Reports

Understanding the Global Gain-of-Function Research Landscape

Caroline Schuerger, Steph Batalis, Katherine Quinn, Ronnie Kinoshita, Owen Daniels, and Anna Puglisi
| August 2023

Gain- and loss-of-function research have contributed to breakthroughs in vaccine development, genetic research, and gene therapy. At the same time, a subset of gain- and loss-of-function studies involve high-risk, highly virulent pathogens that could spread widely among humans if deliberately or unintentionally released. In this report, we map the gain- and loss-of-function global research landscape using a quantitative approach that combines machine learning with subject-matter expert review.

Read our translation of a Chinese regulation that governs the collection, protection, and sharing of scientific data.

Data Brief

Bayh-Dole Patent Trends

Sara Abdulla and Jack Corrigan
| August 2023

This brief examines trends in patents generated through federally funded research, otherwise known as Bayh-Dole patents. We find that while Bayh-Dole patents make up a small proportion of U.S. patents overall, they are much more common in certain fields, especially in biosciences and national defense related fields. Academic institutions are major recipients of Bayh-Dole patents, and the funding landscape for patent-producing research has shifted since Bayh-Dole came into effect in 1980.

Read our translation of a white paper that details China’s system for cultivating homegrown “live-fire” cybersecurity talent.

Reports

Onboard AI: Constraints and Limitations

Kyle Miller and Andrew Lohn
| August 2023

Artificial intelligence that makes news headlines, such as ChatGPT, typically runs in well-maintained data centers with an abundant supply of compute and power. However, these resources are more limited on many systems in the real world, such as drones, satellites, or ground vehicles. As a result, the AI that can run onboard these devices will often be inferior to state of the art models. That can affect their usability and the need for additional safeguards in high-risk contexts. This issue brief contextualizes these challenges and provides policymakers with recommendations on how to engage with these technologies.