fairness

Social Justice Best Paper Award

A paper co-authored by Heng Xu and Nan Zhang, “Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine Learning,” published at Information Systems Research, has been honored with the INFORMS...

Robust Analytics Lab Robust Analytics Lab
20 Oct 2024

Goal Orientation for Fair Machine Learning Algorithms

A key challenge facing the use of Machine Learning (ML) in organizational selection settings (e.g., the processing of loan or job applications) is the potential bias against (racial and gender)...

Robust Analytics Lab Robust Analytics Lab
22 Jan 2024

Fair Ratemaking for Catastrophe Insurance

Catastrophe insurance is an important element of disaster management. Yet the historical presence of inequalities in insurance, from redlining to pricing disparity, has had a devastating impact on minority communities....

Robust Analytics Lab Robust Analytics Lab
07 Dec 2022