Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.
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At Cornell, 4-H’ers plant seeds for future careers
Middle and high school students from across New York state spent three days discovering potential career paths during the annual 4-H Career Explorations Conference, held June 30 to July 2 at Cornell.
A New Research Focus at Global Labor Institute
Most conversations about AI and labor concentrate on displacement: will AI take your job, and which sectors are most exposed? These are important questions. But instead of focusing only on whether AI is taking your job, we feel it’s important to also ask: what happens to your job if it doesn’t?
Gomes in Daedalus: How to train AI to reason like scientists
What will scientific discovery look like in the age of artificial intelligence (AI)?
Alums launch company to streamline cash flow processes
The newest podcast from Entrepreneurship at Cornell features the founders of Tabs.
AI research team could streamline clinical trial design
An artificial intelligence system that operates like a collaborative team of medical experts could accelerate clinical trial design, one of the most difficult steps in drug development.
Inside baseball: AI-enabled enforcement tech takes time, testing
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.
AI & Society Seed Grants
Internal funding to support social science and humanities research on the societal impacts of AI.
Deadline: August 15, 2026.
Speeding up a manual process helps Cornell recover $100,000
A two-semester collaboration between the Cornell AI Innovation Hub, graduate students and the Cornell Treasury Operations team transformed a time‑consuming, manual investigation process into a tool that helps staff process cryptic payments.
Can AI plan for heat emergencies better than simple rules? It depends
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.