Today’s research and development investments will set the course for artificial intelligence in national security in the coming years. This Executive Summary presents key findings and recommendations from CSET’s two-part analysis of U.S. military investments in autonomy and AI, including our assessment of DOD’s research priorities, trends and gaps, as well as ways to ensure U.S. military leadership in AI in the short and the long term.

CSET hosted WestExec Advisors' Michèle Flournoy and Gabrielle Chefitz, together with Avril Haines, for a discussion of their new report outlining how the Department of Defense can adapt its test, evaluation, validation and verification (TEVV) infrastructure for artificial intelligence. The authors were joined by Johns Hopkins Applied Physics Laboratory's Ashley Llorens, the Joint Artificial Intelligence Center's Dr. Jane Pinelis, and moderator Richard Danzig.

Axios Future highlighted a series of one-pagers issued by CSET providing AI policy recommendations for the next presidential administration to consider and implement. The full piece from Axios can be found below.

Establishing a new open-source National Science and Technology Analysis Center

CSET Founding Director Jason Matheny testified before the House Budget Committee on preparing for the potential effects of artificial intelligence on the U.S. economy. Read about VentureBeat's coverage of the hearing below.

New Acting Under Secretary of Defense for Research and Engineering Michael Kratsios spoke with CSET Founding Director Jason Matheny and delivered formal remarks in his first public appearance in the role. The pre-recorded discussion and remarks addressed the challenges and opportunities inherent in defense innovation.

Both China and the United States seek to develop military applications enabled by artificial intelligence. This issue brief reviews the obstacles to assessing data competitiveness and provides metrics for measuring data advantage.

In the battlefield, unmanned systems can “go wrong because the technical challenges are significant, especially for ground operations,” warns CSET Research Fellow Rita Konaev.

CSET's Helen Toner highlights OpenAI's delayed release of GPT-2 and the increased attention it brought to publication norms in the AI research community in 2019. This piece was featured in In the Shanghai Institute for Science of Science's "AI Governance in 2019" report.

The White House is tapping the expertise of researchers from CSET to determine how data and open research can be used to address the COVID-19 pandemic.