Are Parity-Based Notions of {AI} Fairness Desirable?

Foulds, J.R.; Pan, S.

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Citation Details

Are Parity-Based Notions of {AI} Fairness Desirable?

Award ID(s):: 1850023 1927486

PAR ID:: 10281868

Author(s) / Creator(s):: Foulds, J.R.; Pan, S.

Editor(s):: Foulds, J.R.; Pan, S.

Date Published:: 2020-01-01

Journal Name:: A Quarterly bulletin of the Computer Society of the IEEE Technical Committee on Data Engineering

Volume:: 43

Issue:: (4)

ISSN:: 1053-1238

Page Range / eLocation ID:: 51--73

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript
Journal Article:
The DOI is not currently available.

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