Cited by 233Ethics and Social Impacts of AIPrivacy-Preserving Technologies in DataExplainable Artificial Intelligence (XAI)

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An Intersectional Definition of Fairness

Foulds, James R., Islam, Rashidul, Keya, Kamrun Naher, Pan, Shimei·2020·2020 IEEE 36th International Conference on Data Engineering (ICDE)

DOI 10.1109/icde48307.2020.00203

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Abstract

We propose differential fairness, a multi-attribute definition of fairness in machine learning which is informed by intersectionality, a critical lens arising from the humanities literature, leveraging connections between differential privacy and legal notions of fairness. We show that our criterion behaves sensibly for any subset of the set of protected attributes, and we prove economic, privacy, and generalization guarantees. We provide a learning algorithm which respects our differential fairness criterion. Experiments on the COMPAS criminal recidivism dataset and census data demonstrate the utility of our methods.

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Abbreviations
Quintavalla, A., & Temperman, J. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.002.0010
Copyright Page
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Authors: Foulds, J. R., Islam, R., Keya, K. N., & Pan, S.
Affiliations: University of Maryland, Baltimore County (US)
ORCID: Foulds, James R.
Islam, Rashidul
Keya, Kamrun Naher
Pan, Shimei
Venue: 2020 IEEE 36th International Conference on Data Engineering (ICDE)
Publisher: IEEE
Published: 2020-04
Pages: 1918-1921
ISSN: 1084-4627 (ISSN-L)
DOI: 10.1109/icde48307.2020.00203
OpenAlex: W3032340379
Cited by: 233
References: 32
Citations by year: 2026: 35 · 2025: 24 · 2024: 33 · 2023: 85 · 2022: 26 · 2021: 23 · 2020: 5
FWCI: 11.12
Type: conference paper
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
Locations: IEEE International Conference on Data Engineering (ICDE) (publishedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
Keywords: intersectionality, algorithmic fairness, differential privacy, protected characteristics, generalization guarantees, privacy guarantees, census data, learning algorithms

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An Intersectional Definition of Fairness

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