CAFP: A Post-Processing Framework for Group Fairness via Counterfactual Model Averaging

Irina Arévalo, Marcos Oliva

Ensuring fairness in machine learning predictions is a critical challenge, especially when models are deployed in sensitive domains such as credit scoring, healthcare, and criminal…