Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems

Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems

26 May 2025

Jing Nathan Yan

Jeffrey M. Rzeszotarski

Allison Koenecke

Papers citing "Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems"

9 / 9 papers shown

Title
Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata A. Heger Elizabeth B. Marquis Mihaela Vorvoreanu Hanna M. Wallach J. W. Vaughan 42 61 0 06 Jun 2022
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support Michael A. Madaio Lisa Egede Hariharan Subramonyam Jennifer Wortman Vaughan Hanna M. Wallach 41 145 0 10 Dec 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 112 233 0 21 Apr 2021
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline Luca Belli S. Ktena Alykhan Tejani A. Lung-Yut-Fong Frank Portman ... Gabriele Sottocornola Walter Anelli N. Andrade Jessie J. Smith Wenzhe Shi AI4TS 37 12 0 28 Apr 2020
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 192 2,158 0 23 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 48 1,094 0 06 Mar 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 69 639 0 13 Feb 2018
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 65 1,762 0 19 Sep 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 40 1,978 0 11 Dec 2014