Courtney Bowman, Director of Privacy & Civil Liberties Engineering at Palantir
Machine Learning (ML) has become a ubiquitous tool for data science platforms over the last several years. But like earlier variants of automated information systems design, Palantir’s approach to applying ML techniques has tended to be reserved, even cautious. The lessons that we learned from the early days of the company regarding the merits of augmented intelligence in sensitive data environments continue to permeate our work today. In this event Courtney Bowman invites you to join him in a discussion examining the pitfalls of naïve ML approaches, the practical and ethical virtues of augmented intelligence, and principles of good data science that should be infused in all our modeling work.