The programming ethos

In a podcast conversation, Penn professors Michael Kearns, Aaron Roth, and Lisa Miracchi discuss the ethics of artificial intelligence.

From left to right: Lisa Miracchi, Aaron Roth, and Michael Kearns in podcast studio
From left to right: Lisa Miracchi, Aaron Roth, and Michael Kearns gather to discuss the ethical considerations that go into the design of algorithms that power machine learning and artificial intelligence.

In this special edition of Penn Today’s podcast series, Michael Kearns, Aaron Roth, and Lisa Miracchi talk about fairness constraints put on algorithms, the perception of artificial intelligence as “value-neutral,” and the convergence of disciplines in trying to address outstanding questions about how to make algorithms more ethical.

This conversation accompanies the Penn Today “Bots, biases, and binge watching: How AI shapes the modern world” series exploring the subject of AI. Part one, from science writer Erica Brockmeier, explains the nuts and bolts of AI: How computers “learn”; part two, from writer Gwyneth Shaw, focuses on the legal challenges of a world that includes AI; and part three, from science writer Michele Berger, looks at how artificial intelligence has already permeated many corners of life.

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Michael Kearns is the National Center Professor of Management & Technology in the Department of Computer and Information Science in the School of Engineering and Applied Science at the University of Pennsylvania and the founding director of the Warren Center for Network and Data Sciences. Along with Aaron Roth, Kearns is the co-author of “The Ethical Algorithm,” a book about socially aware algorithm design.

Lisa Miracchi is an assistant professor in the Department of Philosophy in the School of Arts and Sciences.

Aaron Roth is the Class of 1940 Bicentennial Term Associate Professor of Computer and Information Science in the School of Engineering and Applied Science at the University of Pennsylvania. Along with Michael Kearns, Roth is the co-author of “The Ethical Algorithm,” a book about socially aware algorithm design.