The Bad News About Online Discrimination in Algorithmic Systems

This is a recording of a public roundtable discussion. Originally, this event was streamed online and questions were taken from the Twitter hashtag (#algoaudit) and the BKC Live Question Tool.

Panelists:

  • Solon Barocas, Cornell University
  • J. Nathan Matias, Princeton University
  • H. V. Jagadish, University of Michigan
  • Christian Sandvig, University of Michigan

Originally held:
THURSDAY, September 28, 2017
4:00-5:30 p.m. Eastern Daylight Time (UTC/GMT -4 hours)

1430 Institute for Social Research (map/directions)
University of Michigan
Ann Arbor, MI USA

…[Personalization] leaves room for subtle and not-so-subtle forms of discrimination in pricing, services, and opportunities….[A]lgorithmic decisions raise the specter of ‘redlining’ in the digital economy–the potential to discriminate against the most vulnerable classes of our society under the guise of neutral algorithms.

–Executive Office of the President of the United States, Report on Big Data (2014)

A full-color, printable version of this flyer suitable for 8.5 x 11″ or 11 x 17″ printing is available in PDF format.

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Held at the University of Michigan. Presented by the Center for Political Studies at the Institute for Social Research and co-Sponsored by the Department of Communication Studies and the School of Information. This material is based upon work supported by the National Science Foundation under Grant No. ITR-1665151. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.