#artificial intelligence
Nov 2024
Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions
The findings indicate that the proposed sub-group-specific bias mitigation is robust across different datasets, subgroups, and embeddings, demonstrating effectiveness in addressing intersectional biases in multimodal settings.
R. Ramachandranpillai, Kishore Sampath, Ayaazuddin Mohammad et al.
· arXiv.org · 6 citations