Catastrophe insurance is an important element of disaster management. Yet the historic presence of inequalities in insurance, from redlining to pricing disparity, has had a devastating impact on minority communities. While the fairness of insurance ratemaking has been studied in general, we...

A key challenge facing the use of Machine Learning (ML) in operational selection settings (e.g., the processing of loan or job applications) is the potential bias against (racial and gender) minorities. To address this challenge, a rich literature of Fairness-Aware ML (FAML) algorithms has...