Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities

1 May 2023

Papers citing "Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities"

8 / 8 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 63 61 0 06 Jun 2022
Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Science S. Cambo Darren Gergle 57 36 0 08 Mar 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 63 147 0 10 Dec 2021
The Contestation of Tech Ethics: A Sociotechnical Approach to Technology Ethics in Practice Benson K. Green AILaw 60 56 0 03 Jun 2021
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 245 765 0 13 Dec 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 266 2,194 0 23 Mar 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 56 541 0 31 Jan 2018
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 230 4,329 0 07 Oct 2016