We'll include on the show page some links to your resources and places where people can reach out and contact you as well. So if you'd like to find out more and get in touch with Professor Cummings on her work or to talk with her more about this, you will provide some links to that on our website. All right. Well, I know that this is a challenging topic, but one that is vital and important that our audience cares about quite a lot. And I think I speak for both of my co-hosts, Mo and Tim when I say no matter where you're at in this journey, remember keep analyzing.
Ethics in AI is a broad, deep, and tough subject. It's also, arguably, one of the most important subjects for analysts, data scientists, and organizations overall to deliberately and determinedly tackle as a standard part of how they do work. On this episode, Renée Cummings, Professor of Practice in Data Science and Data Activist in Residence at the University of Virginia (among many other roles), joined us for a discussion of the subject. Her knowledge of the topic is as deep as her passion for it, and both are bordering on the limitless, so it was an incredibly informative chat! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.