Fairness and Accountability Design Needs for Algorithmic Support in
High-Stakes Public Sector Decision-Making

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

3 February 2018

Reuben Binns

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Papers citing "Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making"

8 / 8 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 75 0 0 26 May 2025
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support Anna Kawakami Venkatesh Sivaraman H. Cheng Logan Stapleton Yanghuidi Cheng Diana Qing Adam Perer Zhiwei Steven Wu Haiyi Zhu Kenneth Holstein 73 110 0 05 Apr 2022
Runaway Feedback Loops in Predictive Policing D. Ensign Sorelle A. Friedler Scott Neville C. Scheidegger Suresh Venkatasubramanian 63 346 0 29 Jun 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 302 2,121 0 24 Oct 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,706 0 10 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,033 0 16 Feb 2016
Supersparse Linear Integer Models for Optimized Medical Scoring Systems Berk Ustun Cynthia Rudin 114 354 0 15 Feb 2015
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 204 1,993 0 11 Dec 2014