Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems?

Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser. Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems?. In Jose M. Alvarez, Alessandro Fabris, Christoph Heitz, Corinna Hertweck, Michele Loi, Meike Zehlike, editors, Proceedings of the 2nd European Workshop on Algorithmic Fairness, Winterthur, Switzerland, June 7th to 9th, 2023. Volume 3442 of CEUR Workshop Proceedings, CEUR-WS.org, 2023. [doi]

Authors

Fanny Jourdan

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Titon Tshiongo Kaninku

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Nicholas Asher

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Jean-Michel Loubes

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Laurent Risser

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