Machine learning could reduce improper CARES Act payments




Federal Drive with Tom Temin show

Summary: The problem with finding out you've sent money to ineligible or deceased people is that it's too late. Much of the money can be nonrecoverable. Gary Shiffman, who teaches artificial intelligence at Georgetown University, argues that the right screening applied at the right time would prevent the improper payments in programs like those under the CARES Act. He is founder of Giant Oak search technology, and joined Federal Drive with Tom TeminĀ for more discussion. Learn more about your ad choices. Visit megaphone.fm/adchoices