Ai At Work

In this episode of AI at Work, Rob May interviewed Jay Budzik CTO at ZestFinance. ZestFinance's software uses machine learning algorithms and big data technology to help financial services companies make more effective credit decisions, safely and transparently. Tune in for Jay's take on the importance of explainable AI. (0:00-2:21)Jay's background and whatZestFinance does (2:21-3:35)We've definitely seen an explainability crisis in AI for a lot of fields, but we've also seen a biased issue that's concerned a lot of people. Are you guys able to address that as well? (3:35-5:52)Tell us a little bit about where the snake oil is in explainability. (5:52-9:00) I saw that the method that you guys are using (as opposed to sort of like Lime, which is a popular one that people have tried to use for this) something called Shapley additive explanations, which has sort of a game theoretic application to it. Can you talk a bit more about that? (9:00-11:23)What are some of your lessons learned for sort of those peop