AI Cyber Lunch: Elissa Redmiles on "Learning from the People"
When and how can we use the perceptions of lay people to evaluate and improve the fairness of features used in machine learning classifiers?
Join the Science, Technology, and Public Policy Program for an AI Cyber Lunch Seminar featuring Elissa Redmiles, Faculty Member and Research Group Leader at the Max Planck Institute for Software Systems and a Visiting Scholar at the Berkman Klein Center for Internet & Society at Harvard University. Redmiles will give a talk entitled, "Learning from the People: Using People's Perceptions to Evaluate AI Fairness."
Q&A to follow. Buffet-style lunch will be served.
Registration: In-person attendance is limited to current Harvard ID holders. No RSVP is required. Room capacity is limited and seating will be on a first come, first served basis.
Members of the public are welcome to attend virtually via Zoom. Virtual attendees should register using the button below; upon registering, attendees will receive a confirmation email with a Zoom link.
Recording: Please be advised that this seminar will not be recorded.
Accessibility: Persons with disabilities who wish to request accommodations or who have questions about access, please contact Liz Hanlon (ehanlon@hks.harvard.edu) in advance of the session.
