Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.
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Widespread AI misuse means higher ed must rethink assessment
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.
Building Benchmarks for AI-Driven Veterinary Innovation
— June 11, 2026; 4 to 5 p.m. — Public Panel: Plans for the VETMED Ecosystem
Toyota Research Institute, Cornell partner on AI projects
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.
Four student-founded AI companies win Cornell Tech Startup Awards
The startups each won $100,000 investments during the university’s annual Startup Awards competition, held May 14.
Morgans’ $1.25M gift to support AI fellows program
A $1.25 million seed grant from James C. Morgan ’60, MBA ’63, and Rebecca Quinn Morgan ’60 will support the establishment of an AI fellows program focused on operational and administrative transformation.
Humans are bad at making complex decisions. AI can help
A new tool is designed to help users rank a set of choices – such as job applicants, graduate schools, even Oscar candidates.
New approach designs healthcare robots with, not for, the people who use them
A new Cornell Tech-led study invites healthcare workers, long-term care residents, and community members to help design the robots themselves.
Regular audits would build trust, confidence in AI
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.
What does it mean to train an AI to speak like you?
Ultra-personalized AI for assisted communication risks muting aspects of the user’s identity and can breach privacy, according to a study from a Cornell Tech doctoral student who trained the technology on himself.