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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Among great powers, AI has become a new focus of competition due to its potential to transform the character of conflict and disrupt the military balance. This policy brief considers alternative paths toward AI safety and security.

Analysis

Keeping Top AI Talent in the United States

Remco Zwetsloot
| December 2019

Talent is core to U.S. competitiveness in artificial intelligence, and international graduate students are a large source of AI talent for the United States. Retaining them in this country as they transition into the workforce is key. Graduate student retention has historically been a core U.S. strength, but that strength is endangered by recent events.

See our translation of a CPC Central Committee and PRC State Council strategy identifying industries that China feels would most benefit from increased indigenous innovation. The document also identifies foreign talent and technology transfer as crucial for China’s emerging technology sectors.

Russian translation of the Defense Innovation Board's AI Principles: Recommendations on the Ethical Use of Artificial Intelligence by the Department of Defense.

This product is a Chinese translation of the DoD Defense Innovation Board's AI Principles, originally published in October 2019.

See our translation of the PRC government’s five-year (2016-2020) industrial development strategy for emerging technology.

This product is a Chinese translation of the CSET issue brief, "Chinese Public AI R&D Spending: Provisional Findings" by Ashwin Acharya and Zachary Arnold.

See our translation of Qianzhan Industry Research Institute’s business analysis of China’s AI industry. The document analyzes the current supply chain, market development and investments in China’s AI industry. It also assesses the outlook and trends for the future of the industry.

The United States and its allies enjoy a competitive advantage in the production of artificial intelligence chips necessary for leading AI research and implementation. This memo identifies chokepoints for limiting China’s access to key chipmaking equipment.

Analysis

Chinese Public AI R&D Spending: Provisional Findings

Ashwin Acharya Zachary Arnold
| December 2019

China aims to become “the world’s primary AI innovation center” by 2030. Toward that end, the Chinese government is spending heavily on AI research and development (R&D)—but perhaps not as heavily as some have thought. This memo provides a provisional, open-source estimate of China’s spending.