Emelia (Emmy) Probasco is a Senior Fellow at Georgetown’s Center for Security and Emerging Technology (CSET), where she works on the military applications of Artificial Intelligence. Prior to joining CSET, she was the Chief Communications Officer and Communications Department Head at the Johns Hopkins Applied Physics Laboratory (APL), leading technical and institutional communications to support and drive APL’s strategic vision. Prior to APL, Emmy served as a Surface Warfare Officer in the U.S. Navy, deploying twice to the Indo-Pacific. She also served in the Pentagon as the speechwriter to the Chief of Naval Operations and at the U.S. Naval Academy as an instructor in political science. She has masters’ degrees in Forced Migration and Economic and Social History from Oxford University, where she studied as a Rhodes Scholar, and a degree in Political Science from the U.S. Naval Academy. She is also currently serving as a special government employee advising the Defense Innovation Unit.
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Automation bias is a critical issue for artificial intelligence deployment. It can cause otherwise knowledgeable users to make crucial and even obvious errors. Organizational, technical, and educational leaders can mitigate these biases through training, design,… Read More
On October 24, the White House issued the first-ever National Security Memorandum on Artificial Intelligence. CSET's experts answer pressing questions and what it means for U.S. national security and AI development. Read More
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In their op-ed featured in Breaking Defense, CSET's Sam Bresnick and Emelia Probasco provide their expert analysis on the involvement of US tech giants in conflicts, such as the Ukraine war, and raise important questions… Read More
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When the technology and policy communities use terms associated with trustworthy AI, could they be talking past one another? This paper examines the use of trustworthy AI keywords and the potential for an “Inigo Montoya… Read More
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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… Read More