Quantifying Forgiveness: MLTalks with Julia Angwin and Joi Ito
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Algorithms are increasingly arbiters of forgiveness. They are used to decide who will get let out of jail, the amount that people pay in auto insurance premiums, and which neighborhoods will be overrun with cars sent there by a mapping algorithm. ProPublica Senior Reporter Julia Angwin discusses what she has learned about forgiveness in her series of articles on algorithmic accountability and the lessons we all need to learn for the coming AI future.
Julia Angwin is a senior reporter at ProPublica. From 2000 to 2013, she was a reporter at The Wall Street Journal, where she led a privacy investigative team that was a finalist for a 2011 Pulitzer Prize in Explanatory Reporting and won a Gerald Loeb Award in 2010. Her book, Dragnet Nation: A Quest for Privacy, Security and Freedom in a World of Relentless Surveillance, was published by Times Books and shortlisted for Best Business Book of the Year by the Financial Times in 2014. That year, Angwin was named reporter of the year by the Newswomen’s Club of New York. In 2003, she was on a team of reporters at The Wall Street Journal that was awarded the Pulitzer Prize in Explanatory Reporting for coverage of corporate corruption. Angwin is also the author of Stealing MySpace: The Battle to Control the Most Popular Website in America. She earned a BA in mathematics from the University of Chicago and an MBA from the Graduate School of Business at Columbia University.
Accessibility Note: This event will have open captioning (English) at the event and on the webcast. Archival video will also include English language closed captions.