2 papers
cs.MA2026
Ablation Study of a Fairness Auditing Agentic System for Bias Mitigation in Early-Onset Colorectal Cancer Detection
Amalia Ionescu, Jose Guadalupe Hernandez, Jui-Hsuan Chang +4
Artificial intelligence (AI) is increasingly used in clinical settings, yet limited oversight and domain expertise can allow algorithmic bias and safety risks to persist. This stud…
cs.LG2026
Evolved Sample Weights for Bias Mitigation: Effectiveness Depends on the Fairness Objective
Anil K. Saini, Jose Guadalupe Hernandez, Emily F. Wong +3
Machine learning models trained on real-world data may inadvertently make biased predictions that negatively impact marginalized communities. Reweighting, which assigns a weight to…