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FinRegLab Podcasts

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This podcast has
6 episodes
Language
English
Publisher
FinRegLab
Explicit
No
Date created
2021/10/01
Latest episode
2022/03/15
Average duration
44 min.
Release period
33 days

Description

Advancing the Safe & Smart use of Technology & Data in Financial Services

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#6: Arthur – Adam Wenchel, CEO
2022/03/15
Arthur’s Adam Wenchel discusses regulation’s effect on AI underwriting models & the need for explainability & fairness.
#5: Michael Akinwumi/Talia Gillis/Peter Zorn: Reimagining Fairness in AI/ML Underwriting Models
2021/12/21
We discuss ways to improve the fairness of AI/ML models with Michael Akinwumi, Talia Gillis & Peter Zorn.
#4: Stephen Hayes/Deborah Hellman/Manish Raghavan: Measuring Fairness in AI/ML Underwriting Models
2021/11/16
We discuss how lenders approach model fairness with Stephen Hayes, Deborah Hellman & Manish Raghavan.
#3: Agus Sudjianto / Scott Zoldi: The Case for Interpretable Models in Credit Underwriting
2021/10/06
We discuss interpretable ML models and their significance to the financial sector with Agus Sudjianto and Scott Zoldi.
#2: John Dickerson / Patrick Hall: The Current State of ML Explainability
2021/10/06
We discuss ML explainability in credit underwriting with John Dickerson (UMD) and Patrick Hall (bnh.ai). 
#1: Scott Lundberg: The Evolution of the Data Science of Explainability
2021/10/01
We discuss the evolution of data science and the current landscape of explainability with Microsoft’s Scott Lundberg.

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