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.

U.S. policymakers need to understand the landscape of artificial intelligence talent and investment as AI becomes increasingly important to national and economic security. This knowledge is critical as leaders develop new alliances and work to curb China’s growing influence. As an initial effort, an earlier CSET report, “AI Hubs in the United States,” examined the domestic AI ecosystem by mapping where U.S. AI talent is produced, where it is concentrated, and where AI private equity funding goes. Given the global nature of the AI ecosystem and the importance of international talent flows, this paper looks for the centers of AI talent and investment in regions and countries that are key U.S. partners: Europe and the CANZUK countries (Canada, Australia, New Zealand, and the United Kingdom).

CSET submitted this comment to the Commerce Department’s Bureau of Industry and Security on how to address concerns about the security of semiconductor supply chains in regions where natural disasters, geopolitical events or other factors might cause serious disruptions.

New analytic tools are used in this data brief to explore the public artificial intelligence (AI) research portfolio of China’s security forces. The methods contextualize Chinese-language scholarly papers that claim a direct working affiliation with components of the Ministry of Public Security, People's Armed Police Force, and People’s Liberation Army. The authors review potential uses of computer vision, robotics, natural language processing and general AI research.