Recent work on algorithmic fairness has largely focused on the fairness of discrete
decisions, or classifications. While such decisions are often based on risk score models, the …

Machine learning (ML) algorithms are increasingly used in high-stake domains like
healthcare. While ML systems frequently outperform humans in specific tasks, ensuring …