How Do We Get People to Care About Machine Learning?

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I think to get people to care, you've got to reach people at a place where they want to care. Even the data scientists who have realized that they are building a future society and they have an extraordinary social responsibility when it comes to the work of data science. When we think of it as a collective, what we are all doing with data is building a future. And that's what we're doing. I feel like this is the same when we it's the same problem and we start to talk about the fairness of our models"

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.