Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction

27 June 2022

Papers citing "Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction"

6 / 6 papers shown

Title
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift Philip A. Boeken O. Zoeter Joris M. Mooij 30 1 0 01 Mar 2024
Fairness-Aware Data Valuation for Supervised Learning José P. Pombal Pedro Saleiro Mário A. T. Figueiredo P. Bizarro TDI 35 3 0 29 Mar 2023
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus José P. Pombal Duarte M. Alves André F. Cruz Pedro Saleiro Rita P. Ribeiro João Gama P. Bizarro 35 32 0 24 Nov 2022
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents Andrew Estornell Sanmay Das Yang Liu Yevgeniy Vorobeychik FaML 16 10 0 06 Dec 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 233 488 0 31 Dec 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,203 0 23 Aug 2019