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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 is currently working on a detail in NIST's Diversity, Equity, and Inclusivity Office as a Statistical Research Analyst.

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.


https://orcid.org/0000-0001-8114-0942

Awards

US Department of Commerce Gold Medal, 2020

Publications

Four Principles of Explainable Artificial Intelligence (Draft)

Author(s)
P J. Phillips, Amanda C. Hahn, Peter C. Fontana, David A. Broniatowski, Mark A. Przybocki
We introduce four principles for explainable artificial intelligence (AI) that comprise the fundamental properties for explainable AI systems. They were
Created September 24, 2019, Updated October 24, 2022