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A Ranking Approach to Fair Classification
v1v2 (latest)

A Ranking Approach to Fair Classification

8 February 2021
Jakob Schoeffer
Niklas Kuehl
Isabel Valera
    FaML
ArXiv (abs)PDFHTML

Papers citing "A Ranking Approach to Fair Classification"

4 / 4 papers shown
Perspectives on Incorporating Expert Feedback into Model Updates
Perspectives on Incorporating Expert Feedback into Model UpdatesPatterns (Patterns), 2022
Valerie Chen
Umang Bhatt
Hoda Heidari
Adrian Weller
Ameet Talwalkar
295
15
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-MakingConference on Fairness, Accountability and Transparency (FAccT), 2022
Jakob Schoeffer
Niklas Kuehl
Yvette Machowski
FaML
275
73
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
223
6
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
183
27
0
14 Aug 2021
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