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

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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Read our original translation of a 2021 PRC notice from China's Ministry of Commerce detailing new policies to encourage foreign investment in key sectors.

Read our original translation of a PRC report about establishing a technology transfer center in Shenzhen, China

Reports

A DPA for the 21st Century

Jamie Baker
| April 2021

The Defense Production Act can be an effective tool to bring U.S. industrial might to bear on broader national security challenges, including those in technology. If updated and used to its full effect, the DPA could be leveraged to encourage development and governance of artificial intelligence. And debate about the DPA’s use for AI purposes can serve to shape and condition expectations about the role the law’s authorities should or could play, as well as to identify essential legislative gaps.

Data Brief

Mapping Research Agendas in U.S. Corporate AI Laboratories

Rebecca Gelles, Tim Hwang, and Simon Rodriguez
| April 2021

Leading U.S. companies are investing in the broad research field of artificial intelligence (AI), but where, specifically, are they making these investments? This data brief provides an analysis of the research papers published by Amazon, Apple, Facebook, Google, IBM, and Microsoft over the past decade to better understand what work their labs are prioritizing, and the degree to which these companies have similar or different research agendas overall. The authors find that major “AI companies” are often focused on very different subfields within AI, and that the private sector may be failing to make research investments consistent with ensuring long-term national competitiveness.

Reports

Ethics and Artificial Intelligence

Jamie Baker
| April 2021

The law plays a vital role in how artificial intelligence can be developed and used in ethical ways. But the law is not enough when it contains gaps due to lack of a federal nexus, interest, or the political will to legislate. And law may be too much if it imposes regulatory rigidity and burdens when flexibility and innovation are required. Sound ethical codes and principles concerning AI can help fill legal gaps. In this paper, CSET Distinguished Fellow James E. Baker offers a primer on the limits and promise of three mechanisms to help shape a regulatory regime that maximizes the benefits of AI and minimizes its potential harms.

Read our original translation of a 2021 speech from the former PRC Minister of Industry and Information Technology.

See our original translation of a 2021 PRC government notice regarding import exemptions related to semiconductor manufacturing.

See our original translation of a 2021 document from the Russian Ministry of Economic Development.

Translation

Development of Artificial Intelligence

April 15, 2021

See our original translation of a 2019 Russian notice from the Ministry of Economic Development.

Reports

The Path of Least Resistance

Margarita Konaev and Husanjot Chahal
| April 2021

As multinational collaboration on emerging technologies takes center stage, U.S. allies and partners must overcome the technological, bureaucratic, and political barriers to working together. This report assesses the challenges to multinational collaboration and explains how joint projects centered on artificial intelligence applications for military logistics and sustainment offer a viable path forward.