Policymakers, engineers, program managers and operators need the bedrock of a common set of terms to instantiate responsible AI for the Department of Defense. Rather than create a DOD-specific set of terms, this paper argues that the DOD could benefit by adopting the key characteristics defined by the National Institute of Standards and Technology in its draft AI Risk Management Framework with only two exceptions.

Deputy Director of Analysis Margarita Konaev discussed the Russian military's setbacks in Ukraine.

In a study for Harvard's Misinformation Review, Research Fellow Josh Goldstein looks at how tactics used in political influence operations are used for commercial purposes.

In an interview with MIT Technology Review, Research Analyst Ngor Luong discussed the business boom of AI companies with military ambitions since the war in Ukraine.

Sending cutting-edge technology to the frontline of Ukraine is an opportunity for the United States to get operational experience and give Ukrainians newer and helpful capabilities on the battlefield according to CSET Margarita Konaev.

In a May CSET webinar, Emily Weinstein and Kevin Wolf propose an export control regime that could effectively keep sensitive technologies from being missed by authoritarian governments and reduce pressure on the U.S. to impose unilateral controls.

The U.S. Department of Defense's bureaucratic structure could impede a robust AI culture according to CSET's Margarita Konaev.

Husanjot Chahal explores US-Indian cooperation in military applications of AI in a podcast interview with the Takshashila Institution.

Associate Director of Analysis Margarita Konaev discusses how satellite imagery is challenging disinformation about the war in Ukraine.

Senior Fellow Andrew Lohn discusses why AI and machine learning's vulnerabilities present limitations when applied in real-life defense applications in an interview with Forbes.