v1v2 (latest)

Improving fairness in machine learning systems: What do industry practitioners need?

13 December 2018

Kenneth Holstein

Jennifer Wortman Vaughan

Papers citing "Improving fairness in machine learning systems: What do industry practitioners need?"

29 / 29 papers shown

Title
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems Jing Nathan Yan Junxiong Wang Jeffrey M. Rzeszotarski Allison Koenecke FaML 81 0 0 26 May 2025
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development Devansh Saxena Ji-Youn Jung Jodi Forlizzi Kenneth Holstein John Zimmerman 126 2 0 25 Feb 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 113 0 0 03 Jan 2025
Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models Alireza Amiri-Margavi Iman Jebellat Ehsan Jebellat Seyed Pouyan Mousavi Davoudi 159 3 0 25 Nov 2024
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems Sruthi Viswanathan Seray Ibrahim Ravi Shankar Reuben Binns Max Van Kleek Petr Slovák 112 1 0 02 Nov 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 94 3 0 29 Aug 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization Cheng Yang Jixi Liu Yunhe Yan Chuan Shi 91 12 0 19 Mar 2024
Aequitas: A Bias and Fairness Audit Toolkit Pedro Saleiro Benedict Kuester Loren Hinkson J. London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani 117 327 0 14 Nov 2018
Investigating Human + Machine Complementarity for Recidivism Predictions S. Tan Julius Adebayo K. Quinn Ece Kamar FaML 46 54 0 28 Aug 2018
Fairness Under Composition Cynthia Dwork Christina Ilvento FaML 98 127 0 15 Jun 2018
Blind Justice: Fairness with Encrypted Sensitive Attributes Niki Kilbertus Adria Gascon Matt J. Kusner Michael Veale Krishna P. Gummadi Adrian Weller 60 152 0 08 Jun 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data Nathan Kallus Angela Zhou FaML 182 136 0 07 Jun 2018
The Externalities of Exploration and How Data Diversity Helps Exploitation Manish Raghavan Aleksandrs Slivkins Jennifer Wortman Vaughan Zhiwei Steven Wu 219 53 0 01 Jun 2018
Why Is My Classifier Discriminatory? Irene Y. Chen Fredrik D. Johansson David Sontag FaML 71 399 0 30 May 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 292 2,201 0 23 Mar 2018
Delayed Impact of Fair Machine Learning Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 85 478 0 12 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 230 1,105 0 06 Mar 2018
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making Michael Veale Max Van Kleek Reuben Binns 71 423 0 03 Feb 2018
Ít's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions Reuben Binns Max Van Kleek Michael Veale Ulrik Lyngs Jun Zhao N. Shadbolt FaML 72 546 0 31 Jan 2018
Fairness Testing: Testing Software for Discrimination Sainyam Galhotra Yuriy Brun A. Meliou 69 380 0 11 Sep 2017
Scalable Annotation of Fine-Grained Categories Without Experts Timnit Gebru J. Krause Jia Deng Li Fei-Fei 43 19 0 07 Sep 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 66 1,001 0 27 Mar 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 228 1,588 0 20 Mar 2017
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems Besmira Nushi Ece Kamar Eric Horvitz Donald Kossmann 70 77 0 24 Nov 2016
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration Himabindu Lakkaraju Ece Kamar R. Caruana Eric Horvitz 69 152 0 28 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 302 2,131 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,341 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 122 1,783 0 19 Sep 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 114 3,156 0 21 Jul 2016