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

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.

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.

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.

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

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.

A lack of good data on the U.S. artificial intelligence workforce limits the potential effectiveness of policies meant to increase and cultivate this cadre of talent. In this issue brief, the authors bridge that information gap with new analysis on the state of the U.S. AI workforce, along with insight into the ongoing concern over AI talent shortages. Their findings suggest some segments of the AI workforce are more likely than others to be experiencing a supply-demand gap.