Facial recognition technology has encountered controversy over claims of bias, and research at Notre Dame has uncovered that the accuracy of face recognition is different for different demographic groups. The same research is beginning to uncover the causes of these differences. Meanwhile, also learn how data can benefit society, along with the challenges that come with relying only upon the numbers.

Listen to a live discussion with Marie Lynn Miranda, the Charles and Jill Fischer Provost of the University of Notre Dame and a professor of applied and computational mathematics and statistics (ACMS), and Kevin Bowyer, the Shubmehl-Prein Professor of Computer Science and Engineering recorded on Friday, October 23, at 12 p.m. ET. 

Read the recap here: https://think.nd.edu/tsl-1-2/

Thanks for listening! The ThinkND Podcast is brought to you by ThinkND, the University of Notre Dame's online learning community. We connect you with videos, podcasts, articles, courses, and other resources to inspire minds and spark conversations on topics that matter to you — everything from faith and politics, to science, technology, and your career.

• Learn more about ThinkND and register for upcoming live events at think.nd.edu.
• Join our LinkedIn community for updates, episode clips, and more.