Numbers Can Lie: When algorithms work perfectly but fail miserably

Numbers Can Lie: When algorithms work perfectly but fail miserably

The famous saying, “numbers don’t lie,” might work when reporting the score of a football game, but even then, the numbers don’t tell the whole story. In the three sessions of this program, learn the basics behind data science and discover how easily human bias can be encoded into computer models. The results of algorithms have implications for not only who may obtain a fair loan, but with who stays in prison and who’s released, and who will be favored by machine learning “decisions.” With so many parts of our lives decided by Big Data, how do scientists balance the algorithms and the ethics?

This three-week program will give you the opportunity to view pre-recorded short talk videos available at any time on ThinkND, and participate in weekly online meetings on Fridays at 12 pm EDT on October 9, 23, and November 6.

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Series Description

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Format Length Title Speaker
Video 3 minutes Meet the Faculty Host Roger Woodard
Video 9 minutes When Numbers Lie: An Overview Roger Woodard
Video 2 minutes Tech Ethics at Notre Dame Mark McKenna
Video minutes View the Event Roger Woodard
Article Additional Resources Roger Woodard
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Format Length Title Speaker
Article 1 minute Kevin Bowyer Roger Woodard
Article 1 minute Marie Lynn Miranda Roger Woodard
Video minutes View the Event Roger Woodard
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Format Length Title Speaker
Video View the Event
Video 2 minutes Conference Host: Mark McKenna '97