Speaking at a TED conference, Data Scientist Cathy O’Neil explained why the practice of putting complete faith in big data and algorithms must end. While it is easy to believe algorithms are objective and scientific, O’Neil said algorithms can go wrong, leading to destructive consequences even if they were created with good intentions. “Algorithms don’t make things fair if you just blithely, blindly apply algorithms. They don’t make things fair. They repeat our past practices, our patterns,” O’Neil said. “They automate the status quo.” O’Neil offers several ways to audit algorithms to ensure they are fair and balanced, including checking data integrity, reconsidering the end goals of the algorithms, and examining the long-term effects of algorithms. Editor's Note: O'Neil was one of the keynote speakers at the IAPP Privacy. Security. Risk. 2016 conference.
If you want to comment on this post, you need to login.