Holding algorithms accountable
**Moderated by Chase Davis, The New York Times
From business and marketing to political campaigns, an increasing number of decisions that affect our daily lives are not being made by humans, but by computers. As reporters, we are experts in holding powerful people and institutions accountable, but how do we do the same for algorithms? This panel will discuss why algorithmic accountability matters and practical strategies for what we, as journalists, can do to incorporate it into our coverage.
This session is good for: Anyone interested in watchdog journalism. No technical background required.
Chase Davis is a senior digital editor at the Star Tribune in his hometown of Minneapolis. He most recently ran the Interactive News desk at The New York Times. He also teaches a class in advanced data journalism at his alma mater, Mizzou. @chasedavis
Nick Diakopoulos is a Professor of Communication Studies and Computer Science at Northwestern University. He studies automation and algorithms as they impact news media including aspects of journalistic data mining, automated content production, news bots, and algorithmic accountability. He is author of "Automating the News: How Algorithms are Rewriting the Media" from Harvard University Press, and co-editor of "Data-Driven Storytelling" from CRC Press.
Frank has written extensively on access to data in the health care, internet, & finance industries. He has been a Visiting Fellow at Princeton’s CITP & a Visiting Professor at Yale Law School. He has testified before the Judiciary Committee with the General Counsels of Google, Microsoft, and Yahoo. His book "The Black Box Society: The Secret Algorithms Behind Money & Information" will be published by Harvard University Press this fall.
Jeremy Singer-Vine is the data editor at BuzzFeed News. He also publishes Data Is Plural, a weekly newsletter of useful/curious datasets. www.jsvine.com
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