Cited By
View all- Krichen MAbdalzaher M(2024)Performance enhancement of artificial intelligence: A surveyJournal of Network and Computer Applications10.1016/j.jnca.2024.104034232(104034)Online publication date: Dec-2024
Effect of Feature Hashing on Fair Classification
Pages 365 - 366
Abstract
Learning new representations of data to reduce correlation with sensitive attributes is one method to tackle algorithmic bias. In this paper, we explore the possibility of using feature hashing as a method for learning new representations of data for fair classification. Using Difference of Equal Odds as our metric to measure fairness, we observe that using feature hashing on the Adult Dataset leads to 5.4x improvement in metric score while losing an accuracy of 6.1% compared to when the data is used as is.
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Published In
January 2020
399 pages
ISBN:9781450377386
DOI:10.1145/3371158
- General Chairs:
- Vasudeva Varma,
- Subbarao Kambhampati,
- Program Chairs:
- Arnab Bhattacharya,
- Sriraam Natarajan,
- Publications Chair:
- Rishiraj Saha Roy
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Published: 15 January 2020
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CoDS COMAD 2020
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CoDS COMAD 2020 Paper Acceptance Rate 78 of 275 submissions, 28%;
Overall Acceptance Rate 197 of 680 submissions, 29%
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View all- Krichen MAbdalzaher M(2024)Performance enhancement of artificial intelligence: A surveyJournal of Network and Computer Applications10.1016/j.jnca.2024.104034232(104034)Online publication date: Dec-2024
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