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.

Filter publications

See our original translation of a 2016 PRC document that lays out project management guidelines for Chinese Academy of Sciences projects designed to encourage the adaptation of technological breakthroughs for commercial or other practical use.

See our original translation of a 2016 plan from the Chinese Academy of Sciences that aims to encourage its scientists to adapt their discoveries for commercial or other practical uses.

See our original translation of a 2016 PRC document issued by the Chinese Academy of Sciences about its efforts to encourage scientists to find practical applications for their technological innovations.

See our original translation of 2016 PRC regulations that aimed to create clearer and stronger financial incentives for institutions and individuals to convert scientific breakthroughs into commercially viable or otherwise practical applications.

See our original translation of China's law on the "conversion of S&T achievements," originally enacted in 1996 and amended in 2015.

See our original translation of a PRC government action plan that lays out numerous institutional measures to spur the conversion of technological breakthroughs into commercial or practical uses.

See our original translation of a 2016 PRC document, issued by the Ministry of Education, establishing guidelines for how Chinese universities should convert their research breakthroughs into commercial or otherwise practical use.

See our original translation of a 2016 PRC document from the Chinese Academy of Sciences.

Analysis

The U.S. AI Workforce

Diana Gehlhaus Santiago Mutis
| January 2021

As the United States seeks to maintain a competitive edge in artificial intelligence, the strength of its AI workforce will be of paramount importance. In order to understand the current state of the domestic AI workforce, Diana Gehlhaus and Santiago Mutis define the AI workforce and offer a preliminary assessment of its size, composition, and key characteristics. Among their findings: The domestic supply of AI talent consisted of an estimated 14 million workers (or about 9% of total U.S. employment) as of 2018.