Sep 23–26, 2019

Keegan Hines
Director of Machine Learning Research, Capital One

Keegan Hines is Director of Machine Learning Research at Capital One where he leads development in areas including Explainable AI, Representation Learning, ML on Graphs, and Computer Vision. He is also an adjunct professor at Georgetown University, teaching graduate coursework in statistics and machine learning.

Sessions

1:15pm–1:55pm Thursday, September 26, 2019

Location: 1E 10/11

Executive Briefing: Lessons from the front lines—Building a responsible AI/ML program in the enterprise

Executive Briefing and best practices, Strata Business Summit

Secondary topics: Culture and Organization, Ethics

Keegan Hines (Capital One)

This talk will explore some of the philosophy around the concept of explaining a model given the colloquial definition is partially recursive. It will cover the lens banking regulation places on this philosophical basis and expand into techniques used for these well governed aspects. Read more.