Addressing Bias Through Ensemble Learning and Regularized Fine-Tuning

Ahmed Radwan, Layan Zaafarani, Jetana Abudawood +2

Addressing biases in AI models is crucial for ensuring fair and accurate predictions. However, obtaining large, unbiased datasets for training can be challenging. This paper propos…