Explaining Black Box Predictions with Sam Ritchie - TWiML Talk #73

Published: Nov. 25, 2017, 7:26 p.m.

b'This week, we\\u2019ll be featuring a series of shows recorded from Strange Loop, a great developer-focused conference that takes place every year right in my backyard! The conference is a multi-disciplinary melting pot of developers and thinkers across a variety of fields, and we\\u2019re happy to be able to bring a bit of it to those of you who couldn\\u2019t make it in person! In this episode, I speak with Sam Ritchie, a software engineer at Stripe. I caught up with Sam RIGHT after his talk at the conference, where he covered his team\\u2019s work on explaining black box predictions. In our conversation, we discuss how Stripe uses black box predictions for fraud detection, and he gives a few use case scenarios. We discuss Stripe\\u2019s approach for explaining those predictions as well as other approaches, and briefly mention Carlos Guestrin\\u2019s work on LIME paper, which he and I discuss in TWiML Talk #7. The notes for this show can be found at twimlai.com/talk/73 For more series info, visit twimlai.com/STLoop'