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A Ranking Approach to Fair Classification

A Ranking Approach to Fair Classification

8 February 2021
Jakob Schoeffer
Niklas Kuehl
Isabel Valera
    FaML
ArXivPDFHTML

Papers citing "A Ranking Approach to Fair Classification"

5 / 5 papers shown
Title
Perspectives on Incorporating Expert Feedback into Model Updates
Perspectives on Incorporating Expert Feedback into Model Updates
Valerie Chen
Umang Bhatt
Hoda Heidari
Adrian Weller
Ameet Talwalkar
37
11
0
13 May 2022
"There Is Not Enough Information": On the Effects of Explanations on
  Perceptions of Informational Fairness and Trustworthiness in Automated
  Decision-Making
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making
Jakob Schoeffer
Niklas Kuehl
Yvette Machowski
FaML
39
52
0
11 May 2022
A Human-Centric Perspective on Fairness and Transparency in Algorithmic
  Decision-Making
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making
Jakob Schoeffer
FaML
34
3
0
29 Apr 2022
Appropriate Fairness Perceptions? On the Effectiveness of Explanations
  in Enabling People to Assess the Fairness of Automated Decision Systems
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems
Jakob Schoeffer
Niklas Kuehl
22
26
0
14 Aug 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
341
4,230
0
23 Aug 2019
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