Cornell is committed to serving as a model for responsible, future‑focused leadership in higher education and beyond. This page offers tools and resources that help our community explore, experiment, and use AI responsibly in teaching, research, and daily work.
The AI Innovation Hub is a collaborative space for the Cornell community to explore and experiment with Generative AI. Here, faculty, staff, and students can build and test practical AI tools and applications that improve university operations and support Cornell’s mission.
Cornell Supported AI Tools
AI can accelerate learning, creativity, and research, but must also be used responsibly.
Using tools vetted by Cornell isn’t just a technical preference. New AI tools undergo a rigorous check for data privacy, security, accessibility, and alignment with university standards. This process helps to safeguard sensitive information, support ethical practice, and strengthen trust across our community.
Cornell AI Platform
Cornell's AI Platform is a secure, private "sandbox" for accessing and experimenting with AI tools that comprises two complementary modules: AI Gateway and AI Agent Studio.
AI Gateway allows you to access frontier models such as Google Gemini, Anthropic Claude, OpenAI GPT, and experiment with other models like Mistral, AWS Nova and Grok, all in a secure Cornell environment. It also enables you to power tools like Claude Code and OpenWebUI, and to seamlessly integrate AI into your custom scripts and application development.
AI Agent Studio allows teams to build, manage, and govern AI agents and workflows that run on schedules or respond to specific triggers, while providing observability and auditing tools.
The AI Platform is currently in a pilot phase, and we are actively seeking collaborators to help shape the future of AI at Cornell.
Microsoft Copilot Basic
The university-wide “private” tool provides access to OpenAI GPT models, in addition to OpenAI’s DALL-E vision model. It enables faculty, staff, and students who are 18 years of age or older to experiment with GenAI text, image, and coding tools without storing the person’s login and chat data or using that data to train the large language models. However, it does use Microsoft’s public search engine where privacy is limited. For this reason, only enter low-risk data — information that the university has made available or published for the explicit use of the general public. Contact the Cornell AI Innovation Hub to inquire about other tools that can enable you to use higher levels of data.
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.
Zoom AI Companion
The Zoom AI Companion gives hosts and participants shareable meeting summaries and next-steps lists, “highlight reels” in recordings, catch-up options for people joining a meeting late, and more.
Policies and Guidelines
As AI rapidly evolves, it is reshaping how we learn, work, and create while raising important questions about academic integrity, ethics, access, and bias. Cornell is collaborating across disciplines to lead thoughtful exploration and guide responsible innovation.
Accountability
You are accountable for your work, regardless of the tools you use to produce it. When using AI tools, always verify the information, check for errors and biases, and exercise caution to avoid copyright infringement. AI excels at applying predictions and patterns to create new content, but since it cannot understand what it produces, the results are sometimes misleading, outdated, or false.
Confidentiality and Privacy
If you are using public AI tools, you cannot enter any Cornell information — or another person's information — that is confidential, proprietary, subject to federal or state regulations, or otherwise considered sensitive or restricted. Any information you provide to public AI tools is considered public and may be stored and used by anyone else.
As noted in the University Privacy Statement, Cornell strives to honor the Privacy Principles: Notice, Choice, Accountability for Onward Transfer, Security, Data Integrity and Purpose Limitation, Access, and Recourse.
Regulated Data Chart
The Regulated Data Chart provides guidance to help you choose appropriate technology tools for sending, storing, and sharing institutional information.
Use for Research
Generative AI in Academic Research: Perspectives and Cultural Norms
The report provides guidance for thoughtful use of Generative AI in research, identifying opportunities as well as risks and duties in both the development and use of these tools in academic research that aspires to positive societal impact.
Read the Cornell Chronicle story about the report: Task force offers guidance to researchers on use of AI
Read the full Committee Report: Web: Generative AI in Academic Research: Perspectives and Cultural Norms; PDF: Generative AI in Academic Research: Perspectives and Cultural Norms
Use for Education
Generative Artificial Intelligence for Education and Pedagogy
The Cornell administration assembled a committee to develop guidelines and recommendations for the use of Generative AI for education at Cornell. Their final report evaluates the feasibility, benefits, and limitations of using generative AI technologies in an educational setting and its impact on learning outcomes.
See more at: https://teaching.cornell.edu/report-generative-artificial-intelligence-education-and-pedagogy
Additional resources from the Center for Teaching Innovation
Use for Administration
Cornell Generative AI in Administration Task Force Report
The Administrative AI Task Force was established with representatives from diverse administrative units, including external affairs, finance, budget, human resources, research and education administration, information technologies, audit, library, eCornell, and facilities, across central and distributed departments in Ithaca, Cornell Tech, and Weill Cornell Medicine (New York and Doha), to evaluate AI for administrative purposes.
See more at: https://it.cornell.edu/ai-strategy/aiinadministration
Training Opportunities
Cornell empowers faculty, staff, students, and the broader public to engage with AI effectively, responsibly, and critically. Through courses, a minor, staff development programs, and discipline-specific learning opportunities, the university builds AI literacy across technical, ethical, and societal dimensions.
AI Exploration Series
AI Exploration Series (via Zoom)
Join AI Assistant Program Director Ayham Boucher for the debut of a bi-weekly series for Cornell students, faculty, and staff who want to know more about all things AI. The 30-minute workshop is held over Zoom at 2 p.m. ET.
See more at: https://events.cornell.edu/event/ai-exploration-series
AI Critical Literacy Program
The AI Critical Literacy Program is offered to all incoming students as well as interested faculty and staff.
The program features four modules:
- What is AI?
- Ethical Questions Surrounding AI
- AI’s Impact on Learning
- Creating an AI Policy for Personal Use
Workday Learning
Workday Learning offers a growing catalog of AI-related courses, workshops, and professional development resources designed to help faculty and staff build AI literacy, explore practical applications, and stay current as AI technologies evolve.
HR 3006: Everyday AI: Using Emerging Technologies
Session 1: Content Creation & Communication
Session 2: Smarter Summaries
Session 3: Workflow Documentation
Session 4: Data Insights & Reporting
Session 5: Better Meetings
Session 6: Project Planning & Prioritization
Session 7: Training & Knowledge Sharing
Teams Channel
Connect to Learn More and Share
The Cornell community is actively shaping how AI enhances research, teaching, and administrative work. This space offers a way to learn more about ongoing efforts and share ideas, needs, and opportunities. Whether you’re exploring a new concept, seeking guidance, or ready to collaborate, we welcome your perspective and encourage you to connect with our team to continue the conversation.
eCornell
eCornell offers more than 40 courses, 20 certificates and 15 workshops on cutting-edge artificial intelligence education. Learn more at: https://ecornell.cornell.edu/certificates/ai/
Certificate Programs and Courses ($100 per Course for Cornell employees)
Certificate Programs are comprehensive expertise in a subject area for professional transformation and workplace impact. We have over 250 Certificate programs available authored by Cornell faculty.
Courses allow you to explore a topic in depth within a short amount of time, gaining powerful insights and practical skills. Note that several courses stack to a full Certificate.
Enrollment URL for CU employees with a NETID
Weill Medical needs to access a different link: Weill Medicine-NYC
AI Workshops (Free)
AI Workshops are 3-hour faculty-led sessions designed for the rapid development of specific, actionable AI skills and strategies to be immediately applied at work. We have several live AI workshops hosted by Cornell faculty each week.
Best Practices
Whether you’re looking to refine a prompt, explore new use cases, or talk through an idea with an expert, these resources connect you with the guidance and hands‑on support you need.
AI Innovation Hub
The AI Innovation Hub is a collaborative space for the Cornell community to explore and experiment with Generative AI. Here, faculty, staff, and students can build and test practical AI tools and applications that improve university operations and support Cornell’s mission.
See more at: https://innovationhub.ai.cornell.edu/
AI Exploration Series via Zoom
Join AI Assistant Program Director Ayham Boucher for the debut of a bi-weekly series for Cornell students, faculty, and staff who want to know more about all things AI. The 30-minute workshop is held over Zoom at 2 p.m. ET.
See more at: https://events.cornell.edu/event/ai-exploration-series
Effective Prompts
Crafting an effective prompt is not the same as searching the web. Here are some tools to improve your prompting skills.
See more at: https://it.cornell.edu/ai-strategy/promptingai
Regulated Data Chart
The Regulated Data Chart provides guidance to help you choose appropriate technology tools for sending, storing, and sharing institutional information.
See more at: https://it.cornell.edu/regulated-data-chart
Tools Under Review
Cornell is actively assessing additional AI tools to determine which meet our standards for privacy, security, accessibility, and responsible use. Each platform undergoes careful review to ensure it protects sensitive information, supports academic integrity, and aligns with the university’s values.
Contact the AI Innovation Hub to inquire about these or other tools, and to get advice about using AI to solve your challenges.
Claude
Claude tools include Claude.ai, Claude Code, and Claude Cowork. Cornell is working with Anthropic to shape an offering tailored to higher education, with a focus on meeting the university’s data privacy and security requirements.
OpenAI ChatGPT EDU
We’re working with OpenAI to onboard ChatGPT EDU as a private workspace for Cornell University. We will be sharing more information as this offering becomes available.
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.
Google Gemini
AI integration with Google Workspace, including Deep Research and Gems. The university is evaluating the privacy, security, licensing, potential cost impacts, and responsible use.
Microsoft Copilot Premium
Microsoft Copilot Premium (previously Microsoft 365 Copilot) integrates advanced AI directly into the Microsoft 365 suite of products — Word, Excel, PowerPoint, Outlook, Teams, and more. If approved, Copilot Premium will require a separate subscription.
Join the Teams Channel
Our Microsoft Teams channel is the place to ask questions, share discoveries, get early access to new tools and resources, and collaborate with colleagues across campus who are exploring AI in their work. Join us to stay in the loop.
Student Groups
Student organizations are an important part of Cornell's AI community, offering hands-on opportunities to develop technical skills, experiment with emerging AI methods, collaborate across disciplines, and apply AI to challenges that matter.