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Interpretable Credit Application Predictions With Counterfactual Explanations

Interpretable Credit Application Predictions With Counterfactual Explanations

Rory Mc Grath
Luca Costabello
Chan Le Van
Paul Sweeney
F. Kamiab
Zhao Shen
Freddy Lecue
    FAtt
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Papers citing "Interpretable Credit Application Predictions With Counterfactual Explanations"

7 / 7 papers shown
Title
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
81
3,922
0
06 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
70
2,332
0
01 Nov 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
500
21,613
0
22 May 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
489
5,878
0
08 Jul 2016
European Union regulations on algorithmic decision-making and a "right to explanation"
European Union regulations on algorithmic decision-making and a "right to explanation"
B. Goodman
Seth Flaxman
FaML
AILaw
55
1,888
0
28 Jun 2016
Model-Agnostic Interpretability of Machine Learning
Model-Agnostic Interpretability of Machine Learning
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
64
836
0
16 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
556
16,828
0
16 Feb 2016