Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation

5 October 2022

Papers citing "Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation"

9 / 9 papers shown

Title
Opportunities and Challenges of Frontier Data Governance With Synthetic Data Madhavendra Thakur Jason Hausenloy 51 0 0 21 Mar 2025
"Forgetting" in Machine Learning and Beyond: A Survey Alyssa Shuang Sha Bernardo Pereira Nunes Armin Haller MU KELM 38 1 0 31 May 2024
The Impossibility of Fair LLMs Jacy Reese Anthis Kristian Lum Michael Ekstrand Avi Feller Alexander D’Amour Chenhao Tan FaML 37 11 0 28 May 2024
You Still See Me: How Data Protection Supports the Architecture of ML Surveillance Rui-Jie Yew Lucy Qin Suresh Venkatasubramanian 35 3 0 09 Feb 2024
FairGridSearch: A Framework to Compare Fairness-Enhancing Models Shih-Chi Ma Tatiana Ermakova Benjamin Fabian FaML 16 0 0 04 Jan 2024
Algorithmic Censoring in Dynamic Learning Systems Jennifer Chien Margaret E. Roberts Berk Ustun 25 6 0 15 May 2023
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree Hilde J. P. Weerts Raphaële Xenidis Fabien Tarissan Henrik Palmer Olsen Mykola Pechenizkiy FaML 25 21 0 05 May 2023
Tensions Between the Proxies of Human Values in AI Teresa Datta D. Nissani Max Cembalest Akash Khanna Haley Massa John P. Dickerson 31 2 0 14 Dec 2022
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016