ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.07185
  4. Cited By
When mitigating bias is unfair: multiplicity and arbitrariness in
  algorithmic group fairness
v1v2 (latest)

When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness

14 February 2023
Natasa Krco
Thibault Laugel
Vincent Grari
Jean-Michel Loubes
Marcin Detyniecki
ArXiv (abs)PDFHTML

Papers citing "When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness"

1 / 1 papers shown
Title
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
270
197
0
03 Feb 2022
1