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Cornell University

Generative AI Services

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Resources for You

Find AI support that meets your needs

How to Craft a Prompt

Crafting an effective prompt is not the same as searching the web. Here are some effective tools to improve your prompting skills. 

Consult with an AI Expert

What do you want to do with artificial intelligence? Bring us your ideas, your unmet needs, your wishes, and we'll brainstorm with you the best ways to realize your vision! Submit your request here.

Cornell-Supported Tools

Microsoft 365 Copilot Chat
(for Web Browsers)
This university-wide “private” version of ChatGPT and Dall-E enables faculty, staff, and students who are 18 years of age or older to experiment with generative AI text, image, and coding tools without storing the person’s login and chat data or being used to train the large language models.

Copilot in Windows
(Available on Some Cornell Computers)
Copilot in Windows has been integrated into the Windows 11 operating system. It can help answer questions, check the weather, or adjust Windows settings, like turning on dark mode or snapping windows side by side. It will also answer questions in the same way that Copilot Enterprise will.

Adobe Firefly
(Available with an Adobe License)
Firefly allows you to generate images from text, then manipulate and edit them. Coming soon: generative voice and video content.

Tools Under Review

Zoom AI Companion
Zoom's AI Companion gives hosts and participants sharable meeting summaries and next-steps lists, “highlight reels” in recordings, catch-up options for people joining a meeting late, and more. Currently, the university is evaluating security and privacy considerations for these new features.

Github Copilot
GitHub Copilot is an AI-powered pair programmer developed by GitHub (owned by Microsoft) in collaboration with OpenAI. It assists developers by providing autocompletions and code suggestions while they write code. 

Microsoft 365 Copilot
Microsoft 365 Copilot integrates AI capabilities into various Microsoft 365 applications including Word, Excel, Outlook, OneNote, Teams, SharePoint and more. The university is evaluating the cost, privacy, security, and licensing requirements of this service. 

Guidelines for Using AI

Find advice about balancing the exciting new possibilities offered by these tools with awareness of their limitations.

Abstract concept of digital ai used with educational iconography

Get Involved

Microsoft Copilot Special Interest Group

Focusing on the Microsoft 365 Copilot Chat tool, this SIG allows participants to share experiences, understand the boundaries, explore the possibilities, and learn how to effectively use Microsoft Copilot.

AI Undergraduate Club (Ithaca)

Cornell University Artificial Intelligence (CUAI) focuses on undergraduate research and publication, as well as educating undergrads on state-of-the-art vision/machine learning research.

AI in Medicine Interest Group (Weill)

A hub on the Weill campus for medical students interested in the intersection of medicine and artificial intelligence.

GenAI @ Cornell (Ithaca)

Bridging students and industry leaders to build cutting-edge AI tools.

AI Exploration Series (Zoom)

A bi-weekly series for Cornell students, faculty, and staff who want to know more about all things AI. Held over Zoom, the thirty-minute workshop starts at 2pm ET.

AI Around Cornell

Cornell AI Initiative

A university-wide collaboration designed to deepen opportunities in the development and application of AI within the field, and across AI-related, and AI-influenced fields.

Institute of Artificial Intelligence for Digital Health

Advancing individualized health and healthcare with data-driven insights derived from applying artificial intelligence technologies.

Resources for Educators

The Center for Teaching Innovation provides resources that intersect teaching, research, and education with artificial intelligence.

AI Research Group at Cornell Tech

Driving discovery in new AI theories, methods, and applications—and improving technologies every day for communities, companies, cities, nonprofits, hospitals, schools, and citizens around the globe.

Advisory Council

The Generative AI Advisory Council will play a pivotal role in guiding priorities, policy, and practice around generative AI within and across the Cornell system (including Ithaca, New York City, and Geneva). The Clinical AI program (that Weill Cornell participates in with NYP and Columbia) is separate from, but adjacent to, the Advisory Council. Goals of the Generative AI Advisory Council are:

  • to champion a broad range of groups, topics, experimentation, standards, and practices connected to generative AI;
  • to prioritize and focus institutional resources toward the strengths of generative AI tool use;
  • to mitigate risks associated with that use in university-related activities and operations. 

This is not meant to supplant specialized explorations or previously existing efforts or groups that already focus on AI, specifically in the research domain where disciplinary AI studies and use are longstanding.

Executive Sponsors: Acting Provost John Siliciano, Bob Harrington, Curt Cole

Generative AI Plenary Council

Steven Jackson, VP Academic Innovation
Krystyn Van Vliet, Vice President for Innovation and External Engagement
Kavita Bala, Provost

Rainu Kaushal, Sr. Associate Dean
Lisa Nishii, VP Enrollment and Undergraduate Education
Rob Min, Chair of Radiology
Greg Morrisett, Dean of Cornell Tech
Durba Ghosh, Society for the Humanities
Peter Enns, Center for the Social Sciences
Thorsten Joachims, Associate Dean of Research
Toby Ault, Earth and Atmospheric Sciences
Vishal Gaur, Dean, SC Johnson School of Business
Student: UA/Student Assembly Designee

Conveners: Ben Maddox Chief Information Officer for Ithaca and Cornell Tech, and Vinay Varughese, CIO, Weill
Ex Officio: Rebecca Joffrey, Vinay Varughese, Ayham Boucher, IT AI Program Leads

Generative AI - Research Subcommittee

Krystyn Van Vliet,  Vice President for Innovation and External Engagement

Thorsten Joachims, Department of Computer Science, Department of Information Science
Natalie Bazarova, Department of Communication
Michèle Belot, Department of Economics
Olivier Elemento, Department of Physiology and Biophysics
Alice Li, Cornell Center for Technology Licensing
Bridget MacRae, Conflicts of Interest and Responsible and Ethical Conduct of Research
David Mimno, Information Science
Lisa Placanica, Cornell Center for Technology Licensing
Alexander (Sasha) M. Rush, Cornell Tech, Department of Computer Science
Stephen Shu, Dyson School
Simeon Warner, Cornell University Library
Fengqi You, College of Engineering
Fei Wang, Weill Cornell Medicine
Mor Naaman, Cornell Tech
Jed Stiglitz, School of Law
Jenny Sabin, College of Architecture, Art + Planning
Itai Cohen, College of Arts and Sciences
Saurabh Metha, College of Human Ecology

Ex Officio: Ayham Boucher (CIT)

Generative AI - Education Subcommittee

Steven Jackson, VP Academic Innovation

Lisa Nishii, Industrial and Labor Relations
Paul Krause, Vice Provost, External Education
Ashley Beecy, Clinical AI Committee, WCM
Alex Colvin, Industrial and Labor Relations
Michael Stewart, Interim Senior Associate Dean for Education, WCM 
Rene Kizilcec, Information Science
Austin Bunn, Performing and Media Arts
John Lennon, English/Creative Writing
Malte Ziewitz, Science and Technology Studies
Tara Holmes, Math
Michael Clarkson, Computer Science
Will Lai, Molecular Biology and Genetics
Jenny Sabin, College of Architecture, Art + Planning
Juan Hinestroza, Human-Centered Design
David Goldberg, Operations Research and Information Engineering
Michelle Crow, English Language Support Office
James Grimmelman, School of Law, Cornell Tech
Andrea Won Stephenson, Communication
Amie Patchen, Public and Ecosystem Health
Christina Liang, Student and Campus Life
Deidre Snyder, SC Johnson College of Business

Ex Officio: Rob Vanderlan, Director of CTI (or designee); Becky Lane (CTI), Doug Cohen (WCM)

AI Task Force Reports

Initial reports from university-wide tasks forces established around Generative AI on campus.

Generative Artificial Intelligence for Education and Pedagogy (June 2023)
Generative AI in Academic Research: Perspectives and Cultural Norms (December 2023)
Generative AI in Administration (January 2024)

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