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Augmented Fairness: An Interpretable Model Augmenting Decision-Makers'
  Fairness

Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness

17 November 2020
Tong Wang
M. Saar-Tsechansky
ArXivPDFHTML

Papers citing "Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness"

9 / 9 papers shown
Title
A Frank System for Co-Evolutionary Hybrid Decision-Making
Federico Mazzoni
Riccardo Guidotti
Alessio Malizia
38
2
0
08 Mar 2025
Bridging the Gap in Hybrid Decision-Making Systems
Bridging the Gap in Hybrid Decision-Making Systems
Federico Mazzoni
Roberto Pellungrini
Riccardo Guidotti
28
0
0
28 Sep 2024
Confounding-Robust Policy Improvement with Human-AI Teams
Confounding-Robust Policy Improvement with Human-AI Teams
Ruijiang Gao
Mingzhang Yin
24
3
0
13 Oct 2023
Learning Complementary Policies for Human-AI Teams
Learning Complementary Policies for Human-AI Teams
Ruijiang Gao
M. Saar-Tsechansky
Maria De-Arteaga
Ligong Han
Wei-Ju Sun
Min Kyung Lee
Matthew Lease
25
8
0
06 Feb 2023
Learning to Advise Humans in High-Stakes Settings
Learning to Advise Humans in High-Stakes Settings
Nicholas Wolczynski
M. Saar-Tsechansky
Tong Wang
17
0
0
23 Oct 2022
Algorithmic Fairness in Business Analytics: Directions for Research and
  Practice
Algorithmic Fairness in Business Analytics: Directions for Research and Practice
Maria De-Arteaga
Stefan Feuerriegel
M. Saar-Tsechansky
FaML
22
42
0
22 Jul 2022
Human-AI Collaboration with Bandit Feedback
Human-AI Collaboration with Bandit Feedback
Ruijiang Gao
M. Saar-Tsechansky
Maria De-Arteaga
Ligong Han
Min Kyung Lee
Matthew Lease
51
49
0
22 May 2021
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
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
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