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BeFair: Addressing Fairness in the Banking Sector

BeFair: Addressing Fairness in the Banking Sector

3 February 2021
Alessandro Castelnovo
Riccardo Crupi
Giulia Del Gamba
Greta Greco
A. Naseer
D. Regoli
Beatriz San Miguel González
    FaML
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Papers citing "BeFair: Addressing Fairness in the Banking Sector"

6 / 6 papers shown
Title
Time Can Invalidate Algorithmic Recourse
Time Can Invalidate Algorithmic Recourse
Giovanni De Toni
Stefano Teso
Bruno Lepri
Andrea Passerini
37
0
0
10 Oct 2024
Mapping the Potential of Explainable AI for Fairness Along the AI
  Lifecycle
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck
Astrid Schomacker
Timo Speith
Jakob Schöffer
Lena Kästner
Niklas Kühl
41
4
0
29 Apr 2024
Investigating Bias with a Synthetic Data Generator: Empirical Evidence
  and Philosophical Interpretation
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation
Alessandro Castelnovo
Riccardo Crupi
Nicole Inverardi
D. Regoli
A. Cosentini
SyDa
19
3
0
13 Sep 2022
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
246
488
0
31 Dec 2020
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
323
4,203
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,082
0
24 Oct 2016
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