Still Malignant if You Were a Woman? Auditing Group and Counterfactual Fairness in Dermatological AI
The seventh edition of Conference on Research in Computer Science, Fairness in dermatological AI, Yaoundé, Cameroon(Online)
Presented our research on auditing fairness in dermatological AI systems, focusing on the intersection of group fairness and counterfactual fairness in clinical decision support. This work, co-authored with Lauraine Tiogning-Djiogue, examined how AI diagnostic systems may produce disparate outcomes across demographic groups, particularly regarding skin cancer detection across gender and skin tone.