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Quantifying Forgiveness with Julia Angwin

Join investigative reporter Julia Angwin as she discusses what she has learned about forgiveness in her series of articles on algorithmic accountability.

Light refreshments will be served.

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 investigative journalist who is building a new newsroom that will be fueled by data science. During the past several years, she led a team at ProPublica that investigated the use of automation and algorithmic procedures to set bail risk scores, to distribute job advertisements through Facebook, and racial discrimination in auto-insurance models. Additionally, her team has an ongoing project that is monitoring politcal ad distribution on social media. Her stories help the public understand how biases can be perpetuated and obscured through algorithmic processes and is highly relevant to the current data science ethics conversations happening in the wake of the Cambridge Analytica/Facebook data sharing case.

Her work has been covered by other news outlets including The New York Times, Bloomberg, The Wall Street Journal, and The Washington Post.

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