Guillaume Bied, Christophe Gaillac, Morgane Hoffmann, Philippe Caillou, Bruno Crépon, Solal Nathan, Michèle Sebag. Fairness in job recommendations: estimating, explaining, and reducing gender gaps. In Roberta Calegari, Andrea Aler Tubella, Gabriel González-Castañé, Virginia Dignum, Michela Milano, editors, Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, October 1st, 2023. Volume 3523 of CEUR Workshop Proceedings, CEUR-WS.org, 2023. [doi]
@inproceedings{BiedGHCCNS23,
title = {Fairness in job recommendations: estimating, explaining, and reducing gender gaps},
author = {Guillaume Bied and Christophe Gaillac and Morgane Hoffmann and Philippe Caillou and Bruno Crépon and Solal Nathan and Michèle Sebag},
year = {2023},
url = {https://ceur-ws.org/Vol-3523/paper7.pdf},
researchr = {https://researchr.org/publication/BiedGHCCNS23},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, October 1st, 2023},
editor = {Roberta Calegari and Andrea Aler Tubella and Gabriel González-Castañé and Virginia Dignum and Michela Milano},
volume = {3523},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}