Cornell University

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

Project to rebuild trust in AI era lands Laude’s $10M ‘moonshot’ award

A $10 million “moonshot” grant from Laude Institute will help Cornell researchers realize the potential of artificial intelligence, while giving online communities control over AI’s role.

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New initiative will explore AI’s role in society, humanities

With AI transforming how societies function, a new program in the College of Arts and Sciences aims to meet the urgent need to understand AI’s implications for culture, governance, ethics, communication, creativity, labor and social organization.

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New CoPAIR program connects Cornell researchers with AI tools, training and community

The new Communities of Practice for AI-enabled Research (CoPAIR) program gives researchers access to emerging AI tools, hands-on training and collaborative communities where they can share best practices, develop disciplinary norms for appropriate AI use and non-use, and evaluate new tools for research. 

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‘A seat at the table’: Cornell expands access to multiple AI tools for faculty, staff, students

Most faculty, staff and students will have free access to a range of AI platforms – an effort to level the playing field, spur exploration and reduce the costs and vulnerabilities of individual consumer licenses.

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Cute robots, historical chatbots: AI in the classroom grows more sophisticated

Instructors across Cornell are working to strike a balance in the classroom – using AI as a teaching tool but also making choices to prevent its use and preserve the learning experience.

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Cornell Tech partners with Mastercard to advance AI governance standards

March 25, 2026

Cornell Tech has launched a research collaboration with Mastercard to advance methods for evaluating and auditing generative artificial intelligence systems.

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CAROW Announces AI and Work Grant Recipients

March 20, 2026

The ILR School’s Center for Applied Research on Work (CAROW) recently awarded three seed grants for new research that addresses questions around the intersection of AI and organizations, employment and work.

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AI tools show promise for diagnosing advanced heart failure

March 20, 2026

The study offers the prospect of better care for many thousands of patients who may be overlooked due to the difficulty of diagnosing their condition.

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Students pitch AI-inspired solutions at Cornell Health Hackathon

March 20, 2026

More than 100 students from across Cornell campuses and 17 other universities gathered March 6-8 in New York City for an AI hackathon.

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AI assistants can sway writers’ attitudes, even when they’re watching for bias

March 11, 2026

Cornell Tech researchers found that writers who used biased AI auto-suggestions saw their views gravitate toward the AI’s positions without their realizing it — even when they were made aware of the biased AI.

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Testing large language models on scientific literature

March 10, 2026

Cornell physicists and Google researchers engaged a panel of 12 human experts to test the ability of six LLM systems to understand scientific literature at the level of a specialist.

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Winning digital ag idea targets killer ants

March 4, 2026

The Digital Ag hackathon, sponsored by the Cornell Institute for Digital Agriculture and powered by Entrepreneurship at Cornell, brought 116 students to Atkinson Hall for the weekend of Feb. 27-March 1.

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Are mental health apps like doctors, yogis, drugs or supplements?

March 3, 2026

Cornell researchers are recommending new guidelines for developing safe and responsible large language model-based mental well-being apps by consulting relevant experts and reviewing existing state and federal regulations.

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Experts to examine the use of generative AI in science

March 2, 2026

The Assessing and Imagining the Impact of Generative AI on Science Symposium, March 3-5, will feature experts from across academia and industry engaging in discussions on the use and implications of generative AI.