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.
