Rediet Abebe on Using Algorithms for Social Justice

Can algorithms make society more equitable? Rediet Abebe, a computer scientist at the University of California, Berkeley, has shown that data-driven machine learning can help to optimize the results of social and economic strategies. In this week's episode, host Steven Strogatz speaks with Abebe about how her Ethiopian upbringing helps her see discrimination in the U.S. in a different light, and why her research interests and here concerns with poverty, inclusion and diversity are inseparable. This episode was produced by Dana Bialek. Read more at https://www.quantamagazine.org/rediet-abebe-on-using-algorithms-for-social-justice-20210405/. Production and original music by Story Mechanics.

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The acclaimed mathematician and author Steven Strogatz interviews some of the world's leading scientists about their lives and work. You've learned from Quanta. Now we want to learn from you! Quanta is conducting a series of surveys to better serve our audience. Take our podcast listener survey and you will be entered to win a free Quanta book, t-shirt or tote bag: quantamag.typeform.com/podcast