"I was not there for the invention of the printing press, but I am here for AI and data-driven technologies," he says. "You need to be literate in what happens in the future...and it is just really important that we need to bring that kind of literacy to our society" He adds: "One of the things you don't want is for that to be weaponized against your family, your community, or future generations"
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.