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.

Analysis

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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Analysis

Top-Tier Research Status for HBCUs?

Jaret C. Riddick and Brendan Oliss
| April 2025

The Carnegie Classification of Institutions of Higher Education is simplifying its top-tier R1 research criteria this year. Recognizing the strategic importance of historically Black colleges and universities, Congress passed Section 223 of the 2023 National Defense Authorization Act to increase defense research capacity by encouraging the most eligible among these institutions to seek the highly coveted R1 status. This in-depth analysis examines the 2025 classification changes, their effect on eligible HBCUs, and strategies for Congress to maintain progress.

Analysis

AI for Military Decision-Making

Emelia Probasco, Helen Toner, Matthew Burtell, and Tim G. J. Rudner
| April 2025

Artificial intelligence is reshaping military decision-making. This concise overview explores how AI-enabled systems can enhance situational awareness and accelerate critical operational decisions—even in high-pressure, dynamic environments. Yet, it also highlights the essential need for clear operational scopes, robust training, and vigilant risk mitigation to counter the inherent challenges of using AI, such as data biases and automation pitfalls. This report offers a balanced framework to help military leaders integrate AI responsibly and effectively.

Analysis

Government AI Hire, Use, Buy (HUB) Roundtable Series – Roundtable 4: Capstone

Danny Hague, Natalie Roisman, Matthias Oschinski, and Carolina Pachon
| March 2025

Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the fourth and final installment of a four-part series.

Analysis

Government AI Hire, Use, Buy (HUB) Roundtable Series – Roundtable 3: Government as a Buyer of AI

Carolina Oxenstierna, Aaron Snow, and Danny Hague
| March 2025

Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the third installment of a four-part series.

Analysis

Government AI Hire, Use, Buy (HUB) Roundtable Series – Roundtable 2: Government as an Employer of AI Talent

Danny Hague, Carolina Oxenstierna, and Matthias Oschinski
| March 2025

Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the second installment of a four-part series.

Analysis

Government AI Hire, Use, Buy (HUB) Roundtable Series – Roundtable 1: Government as a User of AI

Carolina Oxenstierna, Alice Cao, and Danny Hague
| March 2025

Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the first installment of a four-part series.

Analysis

How to Assess the Likelihood of Malicious Use of Advanced AI Systems

Josh A. Goldstein and Girish Sastry
| March 2025

As new advanced AI systems roll out, there is widespread disagreement about malicious use risks. Are bad actors likely to misuse these tools for harm? This report presents a simple framework to guide the questions researchers ask—and the tools they use—to evaluate the likelihood of malicious use.

Formal Response

CSET’s Recommendations for an AI Action Plan

March 14, 2025

In response to the Office of Science and Technology Policy's request for input on an AI Action Plan, CSET provides key recommendations for advancing AI research, ensuring U.S. competitiveness, and maximizing benefits while mitigating risks. Our response highlights policies to strengthen the AI workforce, secure technology from illicit transfers, and foster an open and competitive AI ecosystem.

Analysis

The State of AI-Related Apprenticeships

Luke Koslosky and Jacob Feldgoise
| February 2025

As artificial intelligence permeates the economy, the demand for AI talent with all levels of educational attainment will expand in kind. Apprenticeships are an effective education and training pathway for other industries, but are they suitable for AI-related roles? This report analyzes trends in AI-related apprenticeships across the United States from 2013 through 2023. It explores the growth of these programs, completion rates, demographic and geographic information, and the organizations sponsoring these programs.

Analysis

Putting Explainable AI to the Test: A Critical Look at AI Evaluation Approaches

Mina Narayanan, Christian Schoeberl, and Tim G. J. Rudner
| February 2025

Explainability and interpretability are often cited as key characteristics of trustworthy AI systems, but it is unclear how they are evaluated in practice. This report examines how researchers evaluate their explainability and interpretability claims in the context of AI-enabled recommendation systems and offers considerations for policymakers seeking to support AI evaluations.