fairness

Jeanneret Award from the Society for I-O Psychology

“Reducing Subgroup Differences in Personnel Selection through the Application of Machine Learning”, a paper written by Nan Zhang, Heng Xu, and 11 other co-authors, has been honored with the 2025...

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...

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)...

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....