human predictions

“Humans and machine algorithms have complementary strengths and weaknesses,” says study co-author Mark Steyvers (right), UCI professor of cognitive sciences, here with fellow co-author Padhraic Smyth, UCI Chancellor’s Professor of computer science. “Each uses different sources of information and strategies to make predictions and decisions.” Steve Zylius / UCI
New and improved approaches to human-AI collaboration by combining machine and human predictions