Full Abstract: Recent studies found that using machine learning for social applications can lead to injustice in the form of racist, sexist, and otherwise unfair and discriminatory outcomes. To address this challenge, recent machine learning algorithms have been designed to limit the likelihood such unfair behavior occurs. However, these approaches typically assume the data used … Continue reading "Paper: Fairness Guarantees under Demographic Shift"
Read MorePaper: Fairness Guarantees under Demographic Shift
Posted: April 06, 2022 Under: Core ML Fairness Machine Learning By Stephen Giguere (UT Austin, UMass Alumnus), Blossom Metevier (UMass), Yuriy Brun (UMass), Bruno Castro da Silva (UMass), Philip Thomas (UMass), Scott Niekum (UT Austin)