2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models
NAACL 2024findings
Statistical fairness stipulates equivalent outcomes for every protected group, whereas causal fairness prescribes that a model makes the same prediction for an individual regardless of their protected characteristics. Counterfactual data augmentation (CDA) is effective for reducing bias in NLP model…