Podcasts
Arthur – Adam Wenchel, CEO
Arthur’s Adam Wenchel discusses regulation’s effect on AI underwriting models & the need for explainability & fairness.
We discuss ways to improve the fairness of AI/ML models with Michael Akinwumi, Talia Gillis, & Peter Zorn.
We discuss how lenders approach model fairness with Stephen Hayes, Deborah Hellman & Manish Raghavan.
We discuss interpretable ML models and their significance to the financial sector with Agus Sudjianto and Scott Zoldi.
We discuss ML explainability in credit underwriting with John Dickerson (UMD) and Patrick Hall (bnh.ai).
We discuss the evolution of data science and the current landscape of explainability with Microsoft’s Scott Lundberg.
We discuss fairness and explainability with Jay Budzik – Chief Technology Officer of Zest AI.
Podcasts
Stratyfy – Laura Kornhauser, CEO
We discuss the need to combine insights from data scientists and from credit risk and compliance managers when vetting ML models with Laura Kornhauser, cofounder and CEO of Stratyfy.
Podcasts
Relational AI – Molham Aref, CEO
We discuss causal inference in machine learning with Molham Aref – CEO of Relational.AI.
Podcasts
H2O.ai – Sri Satish Ambati, CEO
We discuss managing risks of bias in historical data when using ML models with Sri Ambati, cofounder and CEO of H2O.ai.