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.
On July 1, the digital research respository arXiv, housed at Cornell Tech, will transition to an independent nonprofit, enabling faster technological development, expanded partnerships and long-term financial sustainability.
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.
