The Data Exchange with Ben Lorica

Machine Learning for High-Risk Applications

May 18, 2023

46:25

AI Chapters

Episode notes

Introduction

4min

The Future of Machine Learning

3min

Transparency in Machine Learning

3min

How to Use Machine Learning Tools to Improve Transparency

2min

The Importance of Inherently Interpretable Machine Learning

3min

The Bogging Machine Learning Systems for Safety and Performance

2min

The Importance of Validation in Banking

4min

The Importance of Domain Knowledge in Decision Making

2min

The State of Tooling for Model Validation for Structured Data

3min

10.

The Reality of AI Risk Management

2min

11.

The Importance of Risk Management in Data Engineering

2min

12.

The Importance of Data in Engineering Design

4min

13.

The Importance of Language Models in Alignment

2min

14.

The Future of Cybersecurity

2min

15.

The Demise of Responsible AI in Banking

2min

16.

The Relationship Between Independent Testers and Model Validators

3min

17.

How to Build Better Models

3min

18.

The Importance of Documentation

2min

Patrick Hall, is co-founder of BNH and a visiting faculty member of decision sciences at the George Washington University School of Business. Agus Sudjianto, EVP, Head of Corporate Model Risk at Wells Fargo. We explore several topics covered in the new book Machine Learning for High-Risk Applications, co-authored by Patrick and with a foreword by Agus.

Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/

Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon • RSS.

Detailed show notes can be found on The Data Exchange web site.