Alexander Colvin, Ph.D. ’99, will serve on a blue-ribbon commission charged with developing recommendations on how New York state can protect workers’ economic security while harnessing the economic benefits of AI.
Jan Burzlaff, a postdoctoral associate in the Jewish Studies Program, teaches a course on Holocaust testimonies that uses AI as an object of study, examining how it interprets, and often reduces, the human experience in survivor narratives.
Large numbers of college students are now using artificial intelligence to complete – and cheat on – their assignments, suggesting that colleges and universities need to change how they are evaluating students.
Researchers from the Cornell Duffield College of Engineering and the Cornell Bowers College of Computing and Information Science are teaming up with the Toyota Research Institute for projects involving AI personalization and robotics.
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 researchers have developed a computing device that stores information electrically but reads it through tiny mechanical motion, an approach that could open a path toward more energy-efficient hardware for AI and scientific computing.
Andrew Flyak, assistant professor in the Department of Microbiology and Immunology in the College of Veterinary Medicine, has been named a 2026 Pew Scholar in the Biomedical Sciences.
Marx will establish and serve as inaugural director of the Cornell Center for Entrepreneurship and Innovation, to boost university efforts to commercialize breakthrough scientific discoveries.
J. Nathan Matias, assistant professor of communication, is a co-author of “Auditing AI,” which offers AI users from all walks of life an introduction into AI evaluation, which is key for developing trust in the technology.
