Training artificial intelligence to enforce even seemingly straightforward rules – like balls and strikes in Major League Baseball – is a messy, dynamic process that takes time and careful evaluation of the technology.
For consequential decision-making, the benefits of a simple index score vs. a less-interpretable predictive AI algorithm depend, researchers from Cornell found, on the desired outcome as well as the decision’s intended audience.
Cornell information science researchers have developed a method that can help online advertisers ensure they’re reaching their intended audience and reduce “skew” – under-delivery to certain demographic groups.
The Cornell Ann S. Bowers College of Computing and Information Science’s celebrated their newest graduates in department recognition ceremonies during Commencement weekend.