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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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A color photo showing a fruit market with various colorful fresh fruits and vegetables - Shutterstock

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NIH funds cross-campus effort to train experts in AI and nutrition

September 11, 2023

A color photo of a professor instructing students in a dark lecture hall

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Faculty offered guidance for teaching in the age of ChatGPT

September 11, 2023

A university committee has released recommendations for how faculty can take generative artificial intelligence into account when considering learning objectives for their students.

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Cornell introduces new AI-focused Board Governance program

August 8, 2023

Board Governance: Navigating Emerging Technologies and More in a Complex World, a new Cornell Tech immersion program, is set to prepare corporate board members for fast-paced evolutions driving the future of commerce.

The Cornell Bowers CIS and LinkedIn logos in full color

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9 receive 2023 Bowers CIS-LinkedIn grants

August 2, 2023

This second round of grants from the five-year, multimillion-dollar partnership will fund high-impact research on topics ranging from large language models and recommender systems to dynamic information retrieval and algorithmic fairness.

A color photo showing Blythe Wong '25 feeds some of the thousands of Poecilia parae fish in Assistant Professor Ben Sandkam's lab in Mudd Hall. credit: Patrick Shanahan

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Undergrads relish challenging Nexus Scholar research projects

August 2, 2023

Nexus Scholars spent eight weeks this summer working with researchers on campus on projects in the humanities, social sciences and physical sciences.

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Artificial intelligence may put private data at risk

August 2, 2023

Machine learning models, which use data to help computers learn for themselves, are vulnerable to privacy leaks and malicious attacks, Cornell Tech researchers have found.

An illustration showing a robot thinking about doing stand-up comedy - Credit: Caitlin Cook/Cornell University

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That’s funny – but AI models don’t get the joke

July 26, 2023

Is artificial intelligence beginning to “understand” humor? In experiments using the New Yorker Cartoon Caption Contest as a testbed, researchers found that it’s making some progress, but isn’t quite there yet.

A filtered photo showing a juror's box with 12 empty chairs with a ray of light shining on some of them

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Analysis of court transcripts reveals biased jury selection

July 24, 2023

Cornell researchers have shown that data science and artificial intelligence tools can successfully identify when prosecutors question potential jurors differently, in an effort to prevent women and Black people from serving on juries.

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Data scientists predict stock returns with AI and online news

July 11, 2023

Researchers have built a new, interpretable machine-learning framework that captures stock- and industry-specific information and predicts financial returns with greater accuracy than traditional models.