Spotlight Series: Big Data and the Human Experience of the Developing Brain
Professional captioning provided
This event will be recorded
Institute for Advanced Study, Northrop, and University Honors Program Present
Professional captioning provided
This event will be recorded
Institute for Advanced Study, Northrop, and University Honors Program Present
Professional captioning provided
This event will be recorded
Institute for Advanced Study, Northrop, and University Honors Program Present
Professional captioning provided
This event will be recorded
Institute for Advanced Study, Northrop, and University Honors Program Present
Institute for Advanced Study, Northrop, and University Honors Program Present
Institute for Advanced Study, Northrop, and University Honors Program Present
Margaret Pearce: Cartographer
Moderated by Michael Corey: Geospatial, Technical and Data Lead, Mapping Prejudice
Institute for Advanced Study, Northrop, and University Honors Program Present
Deepak Ray: Senior Research Scientist and Fellow, Institute on the Environment, University of Minnesota
Valentine Cadieux: Professor of Environmental Studies and Anthropology and Director of the Center for Justice and Law, Hamline University
Moderated by Michael Corey: Geospatial, Technical and Data Lead, Mapping Prejudice
Elizabeth Wrigley-Field
Assistant Professor
Sociology, College of Liberal Arts, UMN Twin Cities
Please join us for a symposium with the most recent cohort of Human in the Data MnDRIVE fellows.
Featuring Dr. Deborah Lupton
SHARP Professor, Leader, the Vitalities Lab
Centre for Social Research in Health and Social Policy Research Centre
UNSW Sydney
While many celebrated efforts in Artificial Intelligence aim at exceeding human performance, the real promise of AI in real-world domains, such as healthcare and law, hinges on developing systems that can successfully support human experts. In this talk, I'll share several directions of research we are pursuing towards effective human-AI partnership in the open world, including combining the complementary strengths of human and machine reasoning, addressing concerns around trust, transparency and reliability, and using AI to improve human engagement.