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Fair Models in Credit: Intersectional Discrimination and the
  Amplification of Inequity

Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity

1 August 2023
S. Kim
Stefan Lessmann
G. Andreeva
Michael Rovatsos
    FaML
ArXivPDFHTML

Papers citing "Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity"

3 / 3 papers shown
Title
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
Dhia Elhaq Rzig
Dhruba Jyoti Paul
Kaiser Pister
Jordan Henkel
Foyzul Hassan
75
0
0
21 Jan 2025
The Fairness of Credit Scoring Models
The Fairness of Credit Scoring Models
Christophe Hurlin
C. Pérignon
Sébastien Saurin
FaML
17
22
0
20 May 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,203
0
23 Aug 2019
1