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Sunday, May 26 • 2:25pm - 3:15pm
What Can We Do When Machines Learn?

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Machine learning can do lots of good things from stopping cyberbullying and reducing bias and unfairness in schools and the workplace, to even predicting who might be a terrorist. But what will happen when computer and data scientists use algorithms to manage our digital lives, predict crime, determine jail sentences, and make other hugely consequential decisions? What are the advantages of relying so heavily on “thinking” systems?

Moderators
avatar for Michael Bear

Michael Bear

Technical Director, BAE Systems
Michael Bear is a Technical Director at BAE Systems in Manassas, Virginia. He over 30 years of experience in the electronics from advanced device reliability and ASIC design through systems architecture. He has served on both the Air Force Scientific Advisory Board and National Academy... Read More →

Contributors
avatar for Brian Stanton

Brian Stanton

Brian obtained his Master’s degree in Cognitive Psychology from Rensselaer Polytechnic Institute and is the Group Leader Cognitive Scientist of the Visualization and Usability Group at the National Institute of Standards and Technology. He is recognized internationally as a leader... Read More →
avatar for James Foulds

James Foulds

Assistant Professor, University of Maryland, Baltimore County
Dr. James Foulds is an Assistant Professor in the Department of Information Systems at UMBC. His research aims to improve the role of artificial intelligence in society regarding fairness and privacy, and to promote the practice of computational social science. He earned his Ph.D... Read More →
avatar for Jennifer Keating

Jennifer Keating

 Jennifer Keating is the Assistant Dean for Educational Initiatives in Dietrich College of Humanities and Social Sciences at Carnegie Mellon University.  She has taught regularly in the Department of English and cross-disciplinary courses for Dietrich College, including AI & Humanity... Read More →


Sunday May 26, 2019 2:25pm - 3:15pm
Panel 1 (WW B)
  • Moderator Michael Bear