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.

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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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

John VerWey
| 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.

See our original translation of a 2021 PRC state AI governance committee document on the ethical norms for AI use.

See our original translation of a 2021 PRC think tank white paper about government standards-setting related to AI.

Data Snapshot

AI-Supported COVID-19 Research

Autumn Toney
| October 20, 2021

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. Our first series of Snapshots introduced CSET’s Map of Science and explored the underlying data and analytic utility of this new tool, which enables users to interact with the Map directly.

Data Visualization

AI Education Catalog

Claire Perkins Diana Gehlhaus Kayla Goode Jennifer Melot Ehrik Aldana Grace Doerfler Gayani Gamage
| October 2021

Created through a joint partnership between CSET and the AI Education Project, the AI Education Catalog aims to raise awareness of the AI-related programs available to students and educators, as well as to help inform AI education and workforce policy.

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.

Analysis

U.S. AI Workforce: Policy Recommendations

Diana Gehlhaus Luke Koslosky Kayla Goode Claire Perkins
| October 2021

This policy brief addresses the need for a clearly defined artificial intelligence education and workforce policy by providing recommendations designed to grow, sustain, and diversify the U.S. AI workforce. The authors employ a comprehensive definition of the AI workforce—technical and nontechnical occupations—and provide data-driven policy goals. Their recommendations are designed to leverage opportunities within the U.S. education and training system while mitigating its challenges, and prioritize equity in access and opportunity to AI education and AI careers.

Data Visualization

CSET Map of Science

Jennifer Melot Ilya Rahkovsky Brian Love Neha Singh Katherine Quinn Zachary Arnold Dewey Murdick
| December 2023

The Emerging Technology Observatory’s Map of Science collects and organizes the world’s research literature, revealing key trends, hotspots, and concepts in global science and technology.

Data Snapshot

Map of Science Updates and User Interface Launch: What’s New?

Autumn Toney
| October 6, 2021

CSET is excited to present the Map of Science user interface. Using a merged corpus of more than 260 million scientific documents, CSET clustered research based on citation links and mapped the clusters spatially using those linkages. The resulting Map provides a visual representation of the landscape of science, with detailed information on more than 123,000 clusters of research including 130 million scientific papers.