Machine Learning Can Be Fair and Accurate - ScienceBlog.com

Carnegie Mellon University researchers are challenging a long-held assumption that there is a trade-off between accuracy and fairness when using machine

Related Keywords

Hemank Lamba , Rayid Ghani , Carnegie Mellon University , School Of Computer Science , Machine Learning Department , Heinz College Of Information Systems , Nature Machine , Computer Science , Heinz College , Information Systems , Public Policy , Kit Rodolfa ,