Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law

14 May 2022

Papers citing "Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law"

6 / 6 papers shown

Title
Properties of fairness measures in the context of varying class imbalance and protected group ratios D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 143 4 0 13 Nov 2024
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future P. Hacker AILaw 31 61 0 25 Nov 2022
A Systematic Study of Bias Amplification Melissa Hall Laurens van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 104 71 0 27 Jan 2022
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 194 541 0 08 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 344 4,230 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016