The University of Virginia School of Data Science is committed to the idea that ethics and innovation can live in the same house comfortably. The challenge is this, we have got to make data science care. We have got to makes data scientists and technologists care. And we havegot to bring that understanding. I think people appreciate that whether or not they actually care determines how much that inequity affects their own lifestyle.
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.