![Tech Policy Leaders artwork](https://is5-ssl.mzstatic.com/image/thumb/Podcasts123/v4/30/ba/2e/30ba2e9c-0049-ec8c-08c6-c4d6b9e14ff9/mza_4612358244245630063.jpg/100x100bb.jpg)
Lauren Rhue: Empirical Evidence of AI Bias Revealed by NBA Player Headshots
Tech Policy Leaders
English - January 22, 2019 14:13 - 16 minutes - 18.5 MB - ★★★★★ - 83 ratingsTech News News Business News fcc law media broadband business capitolhill copyright cybersecurity digitalliteracy diversity Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Bio
Lauren Rhue is an Assistant Professor of Information Systems and Analytics at the Wake Forest School of Business where she’s also an Exxon-Wayne Calloway Rising Faculty Fellow. Her research uses empirical and econometric methods to explore the economic and social implications of technology. Dr. Rhue is also interested in investigating the economic implications of technology platforms for traditionally disadvantaged populations. She earned her Bachelor’s in Management Science and Engineering from Stanford and her Ph.D. in Information Systems from NYU’s Stern School of Business.
ResourcesWake Forest University School of Business
Racial Influence on Automated Perceptions of Emotions by Lauren Rhue (Wake Forest University School of Business, 2018)
Click Here to Kill Everybody: Security and Survival in a Hyper-connected World by Bruce Schneier