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How Do Fairness Definitions Fare? Examining Public Attitudes Towards
  Algorithmic Definitions of Fairness
v1v2 (latest)

How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness

8 November 2018
N. Saxena
Karen Huang
Evan DeFilippis
Goran Radanović
David C. Parkes
Yang Liu
    FaML
ArXiv (abs)PDFHTML

Papers citing "How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness"

5 / 55 papers shown
Title
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness
Nina Grgic-Hlaca
Gabriel Lima
Adrian Weller
Elissa M. Redmiles
FaML
61
40
0
02 May 2020
Designing Fair AI for Managing Employees in Organizations: A Review,
  Critique, and Design Agenda
Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda
L. Robert
Casey S. Pierce
Liz Morris
Sangmi Kim
Rasha Alahmad
51
144
0
20 Feb 2020
A Human-in-the-loop Framework to Construct Context-aware Mathematical
  Notions of Outcome Fairness
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness
Mohammad Yaghini
A. Krause
Hoda Heidari
FaML
52
22
0
08 Nov 2019
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
SyDaFaML
603
4,417
0
23 Aug 2019
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLMAILaw
98
756
0
19 Jun 2019
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