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Carina Hahn (Fed)

Social Scientist | Statistical Research Analyst

Carina Hahn is a social scientist at the National Institute of Standards and Technology (NIST). She obtained her Ph.D. in Cognition and Neuroscience from The University of Texas at Dallas. Her research primarily focuses on evaluating face recognition accuracy in humans and automated face recognition technology. This work was recognized with a Gold Medal from the US Department of Commerce, the highest honor granted by the Secretary. As part of NIST’s Explainable AI Team, she has contributed to characterizing the properties of explainable artificial intelligence, with a focus on considering the human aspects of this human-machine collaboration.

She has worked in NIST's Diversity, Equity, and Inclusivity Office as a Statistical Research Analyst. In that role, she analyzed and reported on workforce data, co-led DEIA implementation teams, and contributed to the goals and vision of the office.

Her multidisciplinary research can be found published in high-impact, peer-reviewed journals including the Proceedings of the National Academy of Sciences, Proceedings of the Royal Society, and ACM SIGGRAPH.


US Department of Commerce Gold Medal, 2020


NIST Explainable AI Workshop Summary

P. Jonathon Phillips, Carina Hahn, Peter Fontana, Amy Yates, Matthew Smith
This report represents a summary of the National Institute of Standards and Technology (NIST) Explainable Artificial Intelligence (AI) Workshop, which NIST held
Created September 24, 2019, Updated June 30, 2023