Renaud Sirdey

FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation (Extended Abstract)

Algorithmic fairness is a critical challenge in building trustworthy Machine Learning (ML) models. ML classifiers strive to make predictions that closely match real-world observations (ground truth). However, if the ground truth data itself reflects biases against certain sub-populations, a dilemma