Research in Focus: Private AI


July 17, 2017


Kristin Lauter, Ran Gilad-Bachrach, Jung Hee Cheon


Microsoft, Microsoft, Seoul National University


For AI to achieve its potential, it requires access to large amounts of often sensitive data, which can pose threats to our privacy. This session, featuring Rich Caruana and Kristin Lauter of Microsoft and Jung Hee Cheon of Seoul National University, outlines approaches that merge cryptology with AI to safeguard privacy when AI algorithms work on health, education, financial, and other sensitive data.