The Challenge of Data Science and AI and Data Driven Technologies

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Sally Kohn: I'm curious because as we talk about data trauma, it sounds like this inequity in what we're building starts much earlier It definitely and you know recently I was reading an article in the Harvard Data Science Review. If you interrogate the data long and hard enough, you will get a confession. And that really is what data science is about. So if we want to build an equitable society... We've got to be very reflective and intentional when it comes to bringing an ethical approach to the ways in which we are doing big tech.

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.