NER-based removal of person and location entities from resumes preserves occupancy-prediction accuracy on FairCVdb, and combined with a debiasing module yields gender-balanced shortlists.
In: Proceedings of the Confer- ence of the North American Chapter of the Association for Computational Lin- guistics (Demonstrations)
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PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)
NER-based removal of person and location entities from resumes preserves occupancy-prediction accuracy on FairCVdb, and combined with a debiasing module yields gender-balanced shortlists.