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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$10M gift to Cornell Bowers supports AI advancement

November 13, 2025

The gift from Josh Kulkin ’01 will bolster the university’s position as a world leader in foundational artificial intelligence research.

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Professor Vitaly Shmatikov Wins Test of Time Award for Deep Learning Research

November 13, 2025

Vitaly Shmatikov, professor of computer science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science, has received the Association for Computing Machinery Conference on Computer and Communications Security (ACM CCS) Test of Time Award for his influential 2015 paper, “Privacy-Preserving Deep Learning.”

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Why companies don’t share AV crash data – and how they could

November 11, 2025

A team of researchers from across campus has created a roadmap outlining the barriers and opportunities to making autonomous vehicles safer.

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‘Roadmap’ shows the environmental impact of AI data center boom

November 10, 2025

Researchers used advanced data analytics to create a state-by-state look at that environmental impact of the AI boom and how to make the computing infrastructure that supports it more sustainable. 

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Combining humanities and tech for research gains

November 7, 2025

An interdisciplinary project involving faculty, staff and graduate students is sparking collaborations among those interested in computational, digital and data-driven approaches to the study of history, languages and culture.

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Three new Thought Summits to explore AI and data science frontiers

November 7, 2025

Cornell University has selected three new Thought Summits for 2026, advancing collaboration in artificial intelligence and data science across disciplines ranging from veterinary medicine and environmental justice to humanitarian response.

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Panel presents promise, peril of AI use in education at Cornell

November 6, 2025

The panel, “AI + Education: Teaching and Learning in the Age of AI,” held during the 75th Trustee-Council Annual Meeting, painted a complete picture of the state of AI in education at Cornell.

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Student draws on experience to transform assistive communication

November 4, 2025

At 15, Tobias Weinberg lost the ability to speak – now as a Ph.D. student at Cornell Tech, he’s using AI to improve the technologies he and others with speech disabilities rely on to communicate. 

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Academic integrity and generative AI focus of PWGIA event

October 31, 2025

A keynote and faculty panel on Nov. 12 will focus on how faculty can communicate their generative AI-related expectations to students, how students can take accountability for their work, and what this looks like in practice.