NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers
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DOI: 10.1145/3686924
Abstract: AI regulations are expected to prohibit machine learning models from using sensitive attributes during training. However, the latest Natural Language Processing (NLP) classifiers, which rely on deep learning, operate as black-box systems, complicating the detection… read more here.
Keywords: framework mitigating; attributes nlp; protected attributes; language ... See more keywords