Algorithmic Fairness from a Non-ideal Perspective

8 January 2020

Papers citing "Algorithmic Fairness from a Non-ideal Perspective"

15 / 15 papers shown

Title
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms Gabriel Lima Nina Grgic-Hlaca Markus Langer Yixin Zou FaML 46 0 0 12 May 2025
Towards a Non-Ideal Methodological Framework for Responsible ML Ramaravind Kommiya Mothilal Shion Guha Syed Ishtiaque Ahmed 59 7 0 20 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 43 4 0 18 Jan 2024
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 42 1 0 11 Jun 2023
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness Andrea Aler Tubella Dimitri Coelho Mollo Adam Dahlgren Lindstrom Hannah Devinney Virginia Dignum ... Anna Jonsson T. Kampik Tom Lenaerts Julian Alfredo Mendez J. Nieves 34 8 0 19 Apr 2023
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction Jannik Dunkelau Manh Khoi Duong FaML 24 4 0 29 Sep 2022
Mimetic Models: Ethical Implications of AI that Acts Like You Reid McIlroy-Young Jon M. Kleinberg S. Sen Solon Barocas Ashton Anderson 18 16 0 19 Jul 2022
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches Lindsay Weinberg FaML SyDa 37 58 0 06 May 2022
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness Mckane Andrus Sarah Villeneuve FaML 32 50 0 18 Apr 2022
Robustness and Usefulness in AI Explanation Methods Erick Galinkin FAtt 28 1 0 07 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information Security Erick Galinkin SILM 21 6 0 06 Mar 2022
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 34 22 0 27 Aug 2021
Towards Equity and Algorithmic Fairness in Student Grade Prediction Weijie Jiang Z. Pardos FaML 33 47 0 14 May 2021
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen R. Pfohl Agata Foryciarz N. Shah FaML 33 108 0 20 Jul 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016