Mitigating Demographic Disparities in Explanation-Human Alignment via Rationale Regularization
We study explanation fairness in hate speech detection. High classification performance does not always mean that a model produces equally plausible explanations for different demographic groups.
By Suryansh Talukdar (Purdue University Fort Wayne), Taha Sarwat (Purdue University Fort Wayne), Jonathan Rusert (Purdue University Fort Wayne)arXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 19, 2026.
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