Cornell AI News

Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.

Thought Summits on Data Science & Artificial Intelligence – Call for proposals

Thought Summits on Data Science & Artificial Intelligence – Call for proposals

CALL FOR PROPOSALS – Apply by June 16, 2025

“Thought Summits” are a Cornell forum aimed at identifying and developing inter- and intra- institutional collaborations in the novel areas of Data Science and Artificial Intelligence.  We envision a Thought Summit as a fully-funded 3-5 day symposium hosted at Cornell’s main campus, where a core of Cornell faculty can interact with about 20 external experts and leaders from academia, government, industry, and/or non-profit organizations. 

Delicious innovation: Students aim to shake up the food system

Delicious innovation: Students aim to shake up the food system

Cornell students are driving innovation in the food industry through entrepreneurship, developing solutions that enhance nutrition tracking, reduce waste, and improve sustainability. Initiatives include AI-powered nutrition tracking, upcycled dried fruit products, low-calorie juice alternatives, and agricultural hydrogels made from repurposed insects.

Gender, nationality can influence suspicion of using AI in freelance writing

Gender, nationality can influence suspicion of using AI in freelance writing

A new study by researchers at Cornell Tech and the University of Pennsylvania shows freelance writers who are suspected of using AI have worse evaluations and hiring outcomes. Freelancers whose profiles suggested they had East Asian identities were more likely to be suspected of using AI than profiles of white Americans. And men were more likely to be suspected of using AI than women.

AI suggestions make writing more generic, Western

AI suggestions make writing more generic, Western

Artificial intelligence-based writing assistants are popping up everywhere – from phones to email apps to social media platforms.

But a new study from Cornell – one of the first to show an impact on the user – finds these tools have the potential to function poorly for billions of users in the Global South by generating generic language that makes them sound more like Americans.