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The Fairness Field Guide: Perspectives from Social and Formal Sciences

The Fairness Field Guide: Perspectives from Social and Formal Sciences

13 January 2022
Alycia N. Carey
Xintao Wu
    FaML
ArXivPDFHTML

Papers citing "The Fairness Field Guide: Perspectives from Social and Formal Sciences"

5 / 5 papers shown
Title
Efficient Algorithms For Fair Clustering with a New Fairness Notion
Efficient Algorithms For Fair Clustering with a New Fairness Notion
Shivam Gupta
Ganesh Ghalme
N. C. Krishnan
Shweta Jain
FaML
65
8
0
02 Sep 2021
Black Feminist Musings on Algorithmic Oppression
Black Feminist Musings on Algorithmic Oppression
Lelia Hampton
FaML
45
53
0
25 Jan 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
256
489
0
31 Dec 2020
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
329
4,223
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,090
0
24 Oct 2016
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