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Carina Hahn (Fed)

Social Scientist, PhD

My research primarily focuses on evaluating face recognition accuracy in humans and automated face recognition technology. This work involves comparing human face recognition and identity-matching performance to that of computer face recognition algorithms and professional face examiners. 

Recently, my work has been toward defining principles for explainable artificial intelligence with a focus on how humans interpret information.


US Department of Commerce Gold Medal, 2020


Four Principles of Explainable Artificial Intelligence (Draft)

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 January 6, 2021