2:00-2:30 p.m. - Foundations Presentation
Face processing plays a central role in everyday human life. We investigate the nature of face representation and processing in the brain, by adapting and developing appropriate machine learning and computer vision methods. In the Foundations portion of the lecture, I will review the technical methods utilized in our modeling work, including novel methods for combining image-computable machine vision algorithms with more classical psychological methods, such as multidimensional scaling, that take human similarity judgments into account.
2:30-2:40 p.m. - Foundations Q & A
—10-minute break—
2:50-3:20 p.m. - Frontiers Presentation
In the Frontiers portion of the lecture, I will describe our work using a neurobiologically supported and psychologically informed face representation to computationally model and quantify human perception and judgment of faces, including computational explanations of the provenance of certain racial and gender biases. Furthermore, we will examine some implications of these findings for the broader domains of psychiatry, social psychology, economics, and political science.
3:20-3:30 p.m. - Frontiers Q & A