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

Harnessed Lightning

Ryan Fedasiuk Jennifer Melot Ben Murphy
| October 2021

This report examines nearly 350 artificial intelligence-related equipment contracts awarded by the People’s Liberation Army and state-owned defense enterprises in 2020 to assess how the Chinese military is adopting AI. The report identifies China’s key AI defense industry suppliers, highlights gaps in U.S. export control policies, and contextualizes the PLA’s AI investments within China’s broader strategy to compete militarily with the United States.

Applications and implications


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Analysis

Staying Ahead

Diana Gehlhaus
| November 2021

This research agenda provides a roadmap for the next phase of CSET’s line of research on the U.S. AI workforce. Our goal is to assist policymakers and other stakeholders in the national security community to create policies that will ensure the United States maintains its competitive advantage in AI talent. We welcome comments, feedback and input on this vision at cset@georgetown.edu.

Data Brief

Research Impact, Research Output, and the Role of International Collaboration

Autumn Toney Melissa Flagg
| November 2021

This data brief explores how international collaboration relates to the impact and output of research publications. Focusing on the top 10 countries with the highest publication output from 2010 to 2019, the authors provide a comprehensive analysis across the major fields of science and technology.

Data Brief

Classifying AI Systems

Catherine Aiken
| November 2021

This brief explores the development and testing of artificial intelligence system classification frameworks intended to distill AI systems into concise, comparable and policy-relevant dimensions. Comparing more than 1,800 system classifications, it points to several factors that increase the utility of a framework for human classification of AI systems and enable AI system management, risk assessment and governance.

Formal Response

Recommendations to OSTP on National Security Presidential Memorandum-33

Emily Weinstein
| November 9, 2021

CSET's Emily Weinstein and Ainikki Riikonen of the Center for a New American Security submitted this comment to the Office of Science and Technology Policy in response to a request for recommendations on securing U.S. government research and development against foreign government interference and exploitation.

Data Brief

Superconductor Electronics Research

November 2021

Devices based on superconductor electronics can achieve much higher energy efficiency than standard electronics. Research in superconductor electronics could advance a range of commercial and defense priorities, with potential applications for supercomputing, artificial intelligence, sensors, signal processing, and quantum computing. This brief identifies the countries most actively contributing to superconductor electronics research and assesses their relative competitiveness in terms of both research output and funding.

Analysis

Federal Prize Competitions

Ali Crawford Ido Wulkan
| November 2021

In science and technology, U.S. federal prize competitions are a way to promote innovation, advance knowledge, and solicit technological solutions to problems. In this report, the authors identify the unique advantages of such competitions over traditional R&D processes, and how these advantages might benefit artificial intelligence research.

Data Brief

Trends in Robotics Patents

Margarita Konaev Sara Abdulla
| November 2021

Advances in robotics technology are having a transformative effect on how people work, travel, communicate, and fight wars. This data brief provides an overview of global trends in robotics patents between 2005 and 2019, focusing in particular on the state of robotics patenting in Russia, as well as developments in military robotics patents both in Russia and across the globe.

Analysis

Harnessed Lightning

Ryan Fedasiuk Jennifer Melot Ben Murphy
| October 2021

This report examines nearly 350 artificial intelligence-related equipment contracts awarded by the People’s Liberation Army and state-owned defense enterprises in 2020 to assess how the Chinese military is adopting AI. The report identifies China’s key AI defense industry suppliers, highlights gaps in U.S. export control policies, and contextualizes the PLA’s AI investments within China’s broader strategy to compete militarily with the United States.

Analysis

No Permits, No Fabs

October 2021

Congress has advanced legislation to appropriate $52 billion in funding for the CHIPS for America Act, which aims to increase semiconductor manufacturing and supply chain resilience in the United States. But more can be done to improve the resiliency of U.S. access to microelectronics beyond manufacturing incentives. This report outlines infrastructure investments and regulatory reforms that could make the United States a more attractive place to build new chipmaking capacity and ensure continued U.S. access to key inputs for semiconductor manufacturing.

Analysis

Mapping the AI Investment Activities of Top Global Defense Companies

Ngor Luong Rebecca Gelles Melissa Flagg
| October 2021

Militaries around the world have often relied on the largest global defense companies to acquire and integrate cutting-edge technologies. This issue brief examines the investment and mergers and acquisition activities in artificial intelligence of the top 50 global defense companies — a key, if limited, approach to accessing AI innovation in the commercial sector — and assesses investment trends of their corporate venture capital subsidiaries and offers a geographic breakdown of defense companies and their AI target companies.