Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness

9 July 2021

Papers citing "Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness"

7 / 7 papers shown

Title
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness Seamus Somerstep Yaácov Ritov Yuekai Sun FaML 36 4 0 30 May 2024
On the Richness of Calibration Benedikt Höltgen Robert C. Williamson 13 9 0 08 Feb 2023
Statistical Data Privacy: A Song of Privacy and Utility Aleksandra B. Slavkovic Jeremy Seeman 23 26 0 06 May 2022
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics Tomo Lazovich Luca Belli Aaron Gonzales Amanda Bower U. Tantipongpipat K. Lum Ferenc Huszár Rumman Chowdhury 12 17 0 03 Feb 2022
The Flaws of Policies Requiring Human Oversight of Government Algorithms Ben Green 21 112 0 10 Sep 2021
Data Science as Political Action: Grounding Data Science in a Politics of Justice Ben Green 19 115 0 06 Nov 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,087 0 24 Oct 2016