Dr. Alex Hanna on Beyond Bias: Algorithmic Unfairness, Infrastructure, and Genealogies of Data
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 crowdwork and data mining. In this talk, I make two […]