Taming the Triangle: On the Interplays Between Fairness, Interpretability, and Privacy in Machine Learning

Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet and Mohamed Siala

Article (2025)

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Department:	Department of Mathematics and Industrial Engineering
Research Center:	CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation
Funders:	Polytechnique Montréal, LabEx CIMI, Canada Research Chairs Program
Grant number:	ANR-11-LABX-0040
PolyPublie URL:	https://publications.polymtl.ca/67075/
Journal Title:	Computational Intelligence (vol. 41, no. 4)
Publisher:	Wiley
DOI:	10.1111/coin.70113
Official URL:	https://doi.org/10.1111/coin.70113
Date Deposited:	07 Aug 2025 12:28
Last Modified:	07 Aug 2025 12:28

Cite in APA 7:	Ferry, J., Aïvodji, U., Gambs, S., Huguet, M.-J., & Siala, M. (2025). Taming the Triangle: On the Interplays Between Fairness, Interpretability, and Privacy in Machine Learning. Computational Intelligence, 41(4). https://doi.org/10.1111/coin.70113
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