We discuss ML explainability in credit underwriting with John Dickerson (UMD) and Patrick Hall (bnh.ai).

John Dickerson/Patrick Hall: The Current State of Machine Learning Explainability

We discuss how lenders approach model fairness with Stephen Hayes, Deborah Hellman & Manish Raghavan.

Stephen Hayes/Deborah Hellman/Manish Raghavan: Measuring Fairness in AI/ML Underwriting Models

We discuss ways to improve the fairness of AI/ML models with Michael Akinwumi, Talia Gillis & Peter Zorn.

Michael Akinwumi/Talia Gillis/Peter Zorn: Reimagining Fairness in AI/ML Underwriting Models

Arthur’s Adam Wenchel discusses regulation’s effect on AI underwriting models & the need for explainability & fairness.

Arthur – Adam Wenchel, CEO

FinRegLab is a nonprofit innovation center that tests new technologies and data to inform public policy and drive the financial sector toward a responsible and inclusive financial marketplace. With our research insights, we facilitate discourse across the financial ecosystem to inform public policy and market practices.