Today we're joined by Eric Rice, associate professor at USC, and the co-director of the USC Center for Artificial Intelligence in Society.
Eric is a sociologist by trade, and in our conversation, we explore how he has made extensive inroads within the machine learning community through collaborations with ML academics and researchers. We discuss some of the most important lessons Eric has learned while doing interdisciplinary projects, how the social scientist's approach to assessment and measurement would be different from a computer scientist's approach to assessing the algorithmic performance of a model.
We specifically explore a few projects he's worked on including HIV prevention amongst the homeless youth population in LA, a project he spearheaded with former guest
Milind Tambe, as well as a project focused on using ML techniques to assist in the identification of people in need of housing resources, and ensuring that they get the best interventions possible.
If you enjoyed this conversation, I encourage you to check out our conversation with Milind Tambe from last year's
TWIMLfest on
Why AI Innovation and Social Impact Go Hand in Hand.
