Bias Mitigation Post-processing for Individual and Group Fairness

Bias Mitigation Post-processing for Individual and Group Fairness

14 December 2018

Karthikeyan N. Ramamurthy

Diptikalyan Saha

Kush R. Varshney

Papers citing "Bias Mitigation Post-processing for Individual and Group Fairness"

13 / 13 papers shown

Title
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 122 0 0 31 Aug 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 80 3 0 29 Aug 2024
Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification Brian dÁlessandro Cathy OÑeil T. LaGatta FaML 37 186 0 21 Jul 2019
From Soft Classifiers to Hard Decisions: How fair can we be? R. Canetti A. Cohen Nishanth Dikkala Govind Ramnarayan Sarah Scheffler Adam D. Smith FaML 110 59 0 03 Oct 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 96 806 0 03 Oct 2018
Automated Test Generation to Detect Individual Discrimination in AI Models Aniya Aggarwal P. Lohia Seema Nagar Kuntal Dey Diptikalyan Saha 57 40 0 10 Sep 2018
FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity Matthew Arnold Rachel K. E. Bellamy Michael Hind Stephanie Houde S. Mehta ... Darrell Reimer Alexandra Olteanu David Piorkowski Jason Tsay Kush R. Varshney HILM 47 137 0 22 Aug 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices Till Speicher Hoda Heidari Nina Grgic-Hlaca Krishna P. Gummadi Adish Singla Adrian Weller Muhammad Bilal Zafar FaML 63 263 0 02 Jul 2018
A comparative study of fairness-enhancing interventions in machine learning Sorelle A. Friedler C. Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth FaML 102 642 0 13 Feb 2018
Fairness Testing: Testing Software for Discrimination Sainyam Galhotra Yuriy Brun A. Meliou 62 378 0 11 Sep 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 193 878 0 06 Sep 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 222 4,307 0 07 Oct 2016
On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products Kush R. Varshney H. Alemzadeh 113 224 0 05 Oct 2016

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