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Cornell AI Initiative

Latest stories, updates, and announcements that highlight the people, research, and progress of AI throughout Cornell.

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AI Headlines from Around the University

Cornell expands AI Critical Literacy Program for incoming students

After a successful pilot launch in the spring, Cornell’s AI Critical Literacy Program will be offered in the fall to all incoming students as well as other interested students, faculty members and staff.

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Strike a pose: Creating more realistic multi-person images

A Cornell research group has devised a way to generate an image of multiple people, incorporating the poses of all individuals to inform the image generation and make the scene more believable and accurate.

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Weak AI regulation may backfire, making products less safe

A new modeling study finds no regulation of AI products and services may be safer than weak regulation.

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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.

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‘Moonshot’ project aims to restore trust in the digital public sphere

Researchers have received a seed grant for $250,000 and a chance at a $10 million award to support a project aimed at using artificial intelligence to establish a foundation for trustworthy AI-mediated communication across online platforms.

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Alums launch company to streamline cash flow processes

July 9, 2026

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

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AI research team could streamline clinical trial design

July 8, 2026

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.

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Inside baseball: AI-enabled enforcement tech takes time, testing

July 6, 2026

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.

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‘Who Should I Vote for?’ Voters Turn to A.I. Before Casting Their Ballots

July 4, 2026

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

Cornell university skyline with blue skies

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AI & Society Seed Grants

July 4, 2026

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

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Speeding up a manual process helps Cornell recover $100,000

July 2, 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.

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Can AI plan for heat emergencies better than simple rules? It depends

July 1, 2026

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.

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Matt Marx named vice provost for entrepreneurship, innovation and external engagement

June 30, 2026

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.

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AI is changing expectations for MBA graduates

June 29, 2026

While MBA job prospects are expected to remain stable in the near future, new hires will be held to higher standards inside rapidly evolving workplaces.