9 citations · 11 across the 6 of their papers we have counts for
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cs.CL2023
Are fairness metric scores enough to assess discrimination biases in machine learning?
Fanny Jourdan, Laurent Risser, Jean-Michel Loubes +1
This paper presents novel experiments shedding light on the shortcomings of current metrics for assessing biases of gender discrimination made by machine learning algorithms on tex…
cs.CL2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks
Fanny Jourdan, Agustin Picard, Thomas Fel +3
Transformer architectures are complex and their use in NLP, while it has engendered many successes, makes their interpretability or explainability challenging. Recent debates have…