Karën Fort — accepted AI-conference papers

2025

“Women do not have heart attacks!” Gender Biases in Automatically Generated Clinical Cases in French

Fanny Ducel, Nicolas Hiebel, Olivier Ferret, Karën Fort, Aurélie Névéol

NAACL 2025findings

Healthcare professionals are increasingly including Language Models (LMs) in clinical practice. However, LMs have been shown to exhibit and amplify stereotypical biases that can cause life-threatening harm in a medical context. This study aims to evaluate gender biases in automatically generated cli…

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2022

French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English

Aurélie Névéol, Yoann Dupont, Julien Bezançon, Karën Fort

ACL 2022long

Warning: This paper contains explicit statements of offensive stereotypes which may be upsetting. Much work on biases in natural language processing has addressed biases linked to the social and cultural experience of English speaking individuals in the United States. We seek to widen the scope of b…

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