About the Talk
Machine learning and artificial intelligence make extraordinary discoveries possible, and autonomous systems are being rolled out in vital business and social settings including healthcare, policing, and education. Assumptions about the neutrality and objectivity of data may encode serious social and political bias into the results. High-profile examples show how these systems already incorporate into their design human flaws, biases, and assumptions, especially about women and their role in society. In this talk, Professor Gina Neff will show that explicitly thinking about gender in AI will help designers make AI systems that help humans make better—and fairer—decisions.
Please arrive early. If you register but do not show up 5 minutes before the event your seat will be given to those on the waiting list a few minutes before the talk starts.
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About the speakers
Professor Gina Neff is a Senior Research Fellow and Associate Professor at the Oxford Internet Institute and at the Department of Sociology, University of Oxford. She studies innovation, the digital transformation of industries, and how new technologies impact work.