Residual Unfairness in Fair Machine Learning from Prejudiced Data

7 June 2018

Papers citing "Residual Unfairness in Fair Machine Learning from Prejudiced Data"

25 / 25 papers shown

Title
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development Devansh Saxena Ji-Youn Jung Jodi Forlizzi Kenneth Holstein John Zimmerman 74 0 0 25 Feb 2025
Learning Fair Policies for Multi-stage Selection Problems from Observational Data Zhuangzhuang Jia G. A. Hanasusanto P. Vayanos Weijun Xie FaML 23 2 0 20 Dec 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 30 6 0 15 Mar 2023
Fairguard: Harness Logic-based Fairness Rules in Smart Cities Yiqi Zhao Ziyan An Xuqing Gao Ayan Mukhopadhyay Meiyi Ma AI4TS 21 1 0 22 Feb 2023
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 34 3 0 14 Nov 2022
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 51 21 0 05 Oct 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria Yiqiao Liao Parinaz Naghizadeh Ardabili 24 8 0 31 May 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment Nathan Kallus 38 22 0 20 May 2022
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning A. Feder Cooper Emanuel Moss Benjamin Laufer Helen Nissenbaum MLAU 34 85 0 10 Feb 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings Jessica Schrouff Natalie Harris Oluwasanmi Koyejo Ibrahim M. Alabdulmohsin Eva Schnider ... Vivek Natarajan Alan Karthikesalingam Katherine A. Heller Silvia Chiappa Alexander DÁmour OOD 65 53 0 02 Feb 2022
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 32 7 0 25 Oct 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 27 26 0 25 Oct 2021
Re-imagining Algorithmic Fairness in India and Beyond Nithya Sambasivan Erin Arnesen Ben Hutchinson Tulsee Doshi Vinodkumar Prabhakaran FaML 17 174 0 25 Jan 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston Ashesh Rambachan Alexandra Chouldechova FaML 38 82 0 02 Jan 2021
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective Naman Goel Alfonso Amayuelas Amit Deshpande Ajay Sharma FaML 41 29 0 21 Dec 2020
Incorporating Interpretable Output Constraints in Bayesian Neural Networks Wanqian Yang Lars Lorch Moritz Graule Himabindu Lakkaraju Finale Doshi-Velez UQCV BDL 17 16 0 21 Oct 2020
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
Bias In, Bias Out? Evaluating the Folk Wisdom Ashesh Rambachan J. Roth FaML 29 31 0 18 Sep 2019
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Dylan Slack Sorelle A. Friedler Emile Givental FaML 32 54 0 24 Aug 2019
Transfer of Machine Learning Fairness across Domains Candice Schumann Xuezhi Wang Alex Beutel Jilin Chen Hai Qian Ed H. Chi 35 69 0 24 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 24 155 0 01 Jun 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric Nathan Kallus Angela Zhou 19 73 0 15 Feb 2019
Fair Decisions Despite Imperfect Predictions Niki Kilbertus Manuel Gomez Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera FaML OffRL 28 5 0 08 Feb 2019
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges Songül Tolan FaML 24 31 0 15 Jan 2019
Actionable Recourse in Linear Classification Berk Ustun Alexander Spangher Yang Liu FaML 45 539 0 18 Sep 2018