What will scientific discovery look like in the age of artificial intelligence (AI)?

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What will scientific discovery look like in the age of artificial intelligence (AI)?

The newest podcast from Entrepreneurship at Cornell features the founders of Tabs.

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.

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.

David Rand, a Cornell University professor, discusses the persuasive power and limitations of artificial intelligence in election decision-making.

Internal funding to support social science and humanities research on the societal impacts of AI.
Deadline: August 15, 2026.

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.

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.