While Artificial Intelligence is all the buzz, there are a lot of opportunities for technology that augments human intelligence instead of replacing it. An important but time-consuming part of editorial review is verifying all facts in a story. Is there a way we can augment the capabilities of writers and editors to make this work faster and better? Building upon promising results in the Winter edition of the studio class, we will continue developing a system which makes humans more effective in this phase of publishing a story. This project will be a combination of theory and practice: the focus will be on developing a functional system that is as ready for release as possible, but we will keep our eyes out for "stretch" opportunities and invest some time exploring how they might take shape.
Results from the project
Faculty and Staff Leads
Professor of Electrical Engineering and Computer Science
Prior to joining the faculty at Northwestern, Kris founded the University of Chicago’s Artificial Intelligence Laboratory. His research has been primarily focused on artificial intelligence, machine-generated content and context-driven information systems. Kris currently sits on a United Nations policy committee run by the United Nations Institute for Disarmament Research (UNIDIR). He received his PhD from Yale.