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.

Annual Report

CSET at Five

Center for Security and Emerging Technology
| March 2024

In honor of CSET’s fifth birthday, this annual report is a look at CSET’s successes in 2023 and over the course of the past five years. It explores CSET’s different lines of research and cross-cutting projects, and spotlights some of its most impactful research products.

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Formal Response

Comment on Commerce Department RFI 89 FR 27411

Catherine Aiken James Dunham Jacob Feldgoise Rebecca Gelles Ronnie Kinoshita Mina Narayanan Christian Schoeberl
| July 16, 2024

CSET submitted the following comment in response to a Request for Information (RFI) from the Department of Commerce regarding 89 FR 27411.

The U.S. government has an opportunity to seize strategic advantages by working with the remote sensing and data analysis industries. Both grew rapidly over the last decade alongside technology improvements, cheaper space launch, new investment-based business models, and stable regulation. From new sensors to new orbits, the intelligence community and regulators have recognized these changes and opportunities—the U.S. Department of Defense, NASA, and other agencies should follow suit.


Enabling Principles for AI Governance

Owen Daniels Dewey Murdick
| July 2024

How to govern artificial intelligence is a concern that is rightfully top of mind for lawmakers and policymakers.To govern AI effectively, regulators must 1) know the terrain of AI risk and harm by tracking incidents and collecting data; 2) develop their own AI literacy and build better public understanding of the benefits and risks; and 3) preserve adaptability and agility by developing policies that can be updated as AI evolves.

Read our translation of Chinese President Xi Jinping’s speech at a major Chinese S&T conference in June 2024.

Data Visualization


June 2024

PARAT (Private-sector AI-Related Activity Tracker) is ETO's hub for data about private-sector companies and their AI activities. PARAT's easy-to-use interface brings together data on companies' AI research publications, patents, and hiring, enabling customizable, data-driven comparison and trend analysis. Use PARAT to explore how hundreds of leading companies around the world are engaged in AI, from Big Tech titans and leading generative AI startups to the entire S&P 500.

Data Brief

A Quantitative Assessment of Department of Defense S&T Publication Collaborations

Emelia Probasco Autumn Toney
| June 2024

While the effects of the U.S. Department of Defense’s broad investments in research and development go far beyond what is publicly disclosed, authors affiliated with the DOD do publish papers about their research. This analysis examines more than 100,000 papers by DOD-affiliated authors since 2000 and offers insight into the patterns of research publication and collaboration by the DOD.


China’s Military AI Roadblocks

Sam Bresnick
| June 2024

China’s leadership believes that artificial intelligence will play a central role in future wars. However, the author's comprehensive review of dozens of Chinese-language journal articles about AI and warfare reveals that Chinese defense experts claim that Beijing is facing several technological challenges that may hinder its ability to capitalize on the advantages provided by military AI. This report outlines these perceived barriers and identifies several technologies that Chinese experts believe may help the country develop and deploy military AI-enabled systems.

Data Snapshot

Pushing the Limits: Huawei’s AI Chip Tests U.S. Export Controls

Jacob Feldgoise Hanna Dohmen
| June 17, 2024

Since 2019, the U.S. government has imposed restrictive export controls on Huawei—one of China’s leading tech giants—seeking, in part, to hinder the company’s AI chip development efforts. This data snapshot reveals how exactly Huawei’s latest AI chip—the Ascend 910B—improves on the prior generation and demonstrates how export controls are likely hindering Huawei’s production.


Trust Issues: Discrepancies in Trustworthy AI Keywords Use in Policy and Research

Emelia Probasco Kathleen Curlee Autumn Toney

Policy and research communities strive to mitigate AI harm while maximizing its benefits. Achieving effective and trustworthy AI necessitates the establishment of a shared language. The analysis of policies across different countries and research literature identifies consensus on six critical concepts: accountability, explainability, fairness, privacy, security, and transparency.

This paper is the fifth installment in a series on “AI safety,” an area of machine learning research that aims to identify causes of unintended behavior in machine learning systems and develop tools to ensure these systems work safely and reliably. This paper explores the opportunities and challenges of building AI systems that “know what they don’t know.”