I think it's difficult because trauma affects different people different way. When we speak about vulnerable communities, there are many poor white people who are in that community as well and they feel the brunt of those decisions. So when a risk assessment tool works for someone, it means it may not be working for someone else. You know, that creates an extraordinary amount of trauma because of the data.
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.