Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness

12 October 2020

Papers citing "Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness"

9 / 9 papers shown

Title
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 66 3 0 10 Jun 2024
Strategic Evaluation: Subjects, Evaluators, and Society Benjamin Laufer Jon Kleinberg Karen Levy Helen Nissenbaum 16 3 0 05 Oct 2023
Optimization's Neglected Normative Commitments Benjamin Laufer T. Gilbert Helen Nissenbaum OffRL 21 4 0 27 May 2023
Fairness in Multi-Agent Planning Alberto Pozanco Daniel Borrajo 19 2 0 01 Dec 2022
Mimetic Models: Ethical Implications of AI that Acts Like You Reid McIlroy-Young Jon M. Kleinberg S. Sen Solon Barocas Ashton Anderson 13 16 0 19 Jul 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 13 29 0 02 Apr 2022
Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir" Fernando Delgado Stephen Yang Michael A. Madaio Qian Yang 20 55 0 01 Nov 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,084 0 24 Oct 2016