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.

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.

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.

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.

‘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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11 new researchers become Eric and Wendy Schmidt AI in Science Postdoctoral Fellows

February 6, 2026

The new cohort will investigate the use of AI to advance exploration in science, technology and engineering. 

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Generative AI critical literacy pilot launched this spring

February 3, 2026

Since ChatGPT burst onto the scene, higher education has been grappling with the impact of Generative AI on research, teaching, learning, and work. In the Spring of 2025, Cornell University Library and the Center for Teaching Innovation began discussions around how to address AI literacy, which is the understanding, use, and critical evaluation of artificial intelligence.

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Four on faculty to receive DOE early-career grants

February 3, 2026

Four Cornell faculty members are among 99 researchers across the U.S. who have been awarded grants by the U.S. Department of Energy as part of its Office of Science Early Career Research Program.

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Three early-career professors win NSF development awards

January 29, 2026

Cornell researchers studying microplastics, robotics and machine learning are recent recipients of National Science Foundation Faculty Early Career Development Awards.

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Thorsten Joachims named vice provost for AI strategy

January 27, 2026

Thorsten Joachims has been named vice provost for artificial intelligence strategy, a newly created position intended to bolster the Cornell AI Initiative. This new position further expands Cornell’s universitywide effort to advance leadership in research and education in AI, while creating, applying and evaluating AI as a tool across the university – from classrooms and laboratories to clinics and university processes. His appointment took effect Jan. 1.

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Wilkens receives Schmidt Sciences award for humanities research

January 20, 2026

A research group led by Matthew Wilkens, associate professor of information science in the Cornell Ann S. Bowers College of Computing and Information Science, is the recent recipient of a Schmidt Sciences award to leverage AI in the humanities to unlock new insights in human history and culture.

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MathGPT founders say site boosts students’ skills, confidence

January 16, 2026

The founders of MathGPT are featured on the January episode of the Startup Cornell podcast. 

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‘Rosetta stone’ for database inputs reveals serious security issue

January 13, 2026

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by Cornell Tech researchers successfully teased out names, medical diagnoses and financial information from encoded datasets. 

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AI improves flood projections under climate change

January 8, 2026

Physics-based models should be supplemented with AI hydrological models rather than relying on site-specific estimates, researchers find.