Emanuel Moss is a Research Scientist at Intel Labs and a Lecturer at the University of Virginia School of Data Science. He received his Ph.D. from the CUNY Graduate Center, holds an M.A. from Brandeis University, and received his B.A. from the University of Illinois at Urbana-Champaign. His research is broadly concerned with AI and computing, and multidisciplinary approaches to AI evaluation. He has published widely on accountability for computational systems, AI audit and assessment, and organizational approaches to AI adoption. His ongoing work addresses the use of AI in high-precision expert domains. Moss is a recipient of the Wenner Gren Fellowship, is a member of the NIST AI Safety Institute Consortium and the Computing Community Consortium Council, and frequently collaborates with the Sloane Lab at the University of Virginia.
