TaCo: Targeted Concept Erasure Prevents Non-Linear Classifiers From Detecting Protected Attributes

Fanny Jourdan, Louis Béthune, Agustin Picard +2

Ensuring fairness in NLP models is crucial, as they often encode sensitive attributes like gender and ethnicity, leading to biased outcomes. Current concept erasure methods attempt…