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. Investigative 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 an award-winning investigative journalist at the independent news organization ProPublica. Previously, she was a reporter at the Wall Street Journal, where she led a privacy investigative team that was a finalist for a Pulitzer Prize in Explanatory Reporting in 2011 and won a Gerald Loeb Award in 2010. 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. She is the author of Dragnet Nation: A Quest for Privacy, Security, and Freedom in a World of Relentless Surveillance and Stealing MySpace: The Battle to Control the Most Popular Website in America. Julia holds a BA in mathematics from the University of Chicago and an MBA from the Graduate School of Business at Columbia University.
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