As we settle into the new world of Zoom, Meet and Teams, it is clear that even when the dust clears, these platforms are not going away. Each is developing its own feature set, but few are focused on the idea that we now can capture interaction information at a more detailed level and with a better signal to noise ratio than we were able to do in face to face meetings.
Exploiting both these features, ubiquitous use of Zoom and its siblings and the information we can pull out of them, we would like to consider what it might mean for Zoom to be a conduit for information. In particular, how can we use the Zoom APIs to access information requests (bios, company profiles, general search) that leverage both the specific requests and the shared context.
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.