Ms. Schmer-Galunder is a Principal Research Scientist at Smart Information Flow Technologies. Her research interests focus on social and cultural aspects of ML systems, and how human values, biases and behaviors shape technological innovation. She leads projects within the domain - focusing on collective behavior of teams in extreme environments (e.g. at the Hawaii Space Exploration Analog and Simulation habitat), cultural models of non-Western thought, the use of social and psychological theories to inform ML, and NLP for pro-and anti-social behavior. Prior to working at SIFT, she worked at the Social, Cognitive and Affective Neuroscience Lab at Columbia University, and the Davachi Memory Lab at New York University. She has written more than 30 papers, book chapters and given talks at Google and the Austrian Research and Innovation Forum. She received her master’s degree in social anthropology from Lunds University in Sweden.
All times are presented in the host university’s local time zone.
The Human Domain
(9:00am - 9:45am)