Real world model explainability with Rayid Ghani - TWiML Talk #283

Published: July 18, 2019, 4 p.m.

b'Today we\\u2019re joined by Rayid Ghani, Director of the Center for Data Science and Public Policy at the University of Chicago. Drawing on his range of experience, Rayid saw that while automated predictions can be helpful, they don\\u2019t always paint a full picture. The key is the relevant context when making tough decisions involving humans and their lives. We delve into the world of explainability methods, necessary human involvement, machine feedback loop and more.'