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.

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Data Visualization

ETO Supply Chain Explorer

Zachary Arnold, John VerWey, Jennifer Melot, and Neha Singh
| October 16, 2022

ETO's Supply Chain Explorer is designed to quickly orient non-experts to the essential inputs, players, and relationships involved in producing advanced computer chips. Use the Explorer to learn how these chips are made, who makes them, and the tools, materials, and processes involved in the supply chain.

CSET's Catherine Aiken testified before the National Artificial Intelligence Advisory Committee on measuring progress in U.S. AI research and development.

Data Snapshot

Popularity != Public Implementation: How Organizations Leverage Open Source Code

Christian Schoeberl
| October 12, 2022

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked to research publications. Check in every two weeks to see our newest Snapshot exploring this unique dataset and analyzing the role of GitHub’s community in technology research and development.

Translation

Translation Snapshot: Tech-Related Chinese National Strategies

Ben Murphy
| October 11, 2022

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 full translations. Check back regularly for additional Translation Snapshots highlighting our work.

Read our original translation of one of China’s earliest national strategies for the AI industry, originally published in 2016. The plan encourages China’s application of AI technology in industries and fields such as smart home, self-driving cars, unmanned systems, security, wearables, and robotics.

Reports

A Common Language for Responsible AI

Emelia Probasco
| October 2022

Policymakers, engineers, program managers and operators need the bedrock of a common set of terms to instantiate responsible AI for the Department of Defense. Rather than create a DOD-specific set of terms, this paper argues that the DOD could benefit by adopting the key characteristics defined by the National Institute of Standards and Technology in its draft AI Risk Management Framework with only two exceptions.

Formal Response

Comment to NIST on the AI Risk Management Framework

Mina Narayanan
| September 29, 2022

CSET submitted the following comment in response to the National Institute for Standards and Technology's second draft of its AI Risk Management Framework.

Data Snapshot

GitHub Data: Capturing Open Source Software and Implementation

Christian Schoeberl
| September 28, 2022

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked to research publications. Check in every two weeks to see our newest Snapshot exploring this unique dataset and analyzing the role of GitHub’s community in technology research and development.

See our original translation of a 2020 document from China’s Ministry of Industry and Information Technology describing the country’s strong demand for — and insufficient supply of — artificial intelligence talent.

See our original translation of a 2022 Chinese government plan for making Chinese tech companies more innovative.