Problems of algorithmic bias are often framed in terms of lack of representative data or formal fairness optimization constraints to be applied to automated decision-making systems. However, these discussions sidestep deeper issues with data used in AI, including problematic categorizations and the extractive logics of…
Shorna Allred is an Associate Professor at Cornell University in the Center for Conservation Social Sciences, Dept. of Natural Resources. She also holds a joint faculty appointment with the Dept. of Global. Development and in the Southeast Asia Program. Dr. Allred was the recipient of the 2018 Engaged Scholar Prize.
Seminar is open to graduate students, faculty, and staff.
Please contact ffdata@princeton.edu if you are interested in attending and have not received an email invitation.
Click here for a full schedule of Fall 2021 Working Groups. All seminars are on Thursdays and run from 12:00 noon to 1:00 p.m.
