2024
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
ICLR 2024poster
Training models with robust group fairness properties is crucial in ethically sensitive application areas such as medical diagnosis. Despite the growing body of work aiming to minimise demographic bias in AI, this problem remains challenging. A key reason for this challenge is the fairness generalis…