Students across Cornell are exploring how AI can deepen learning, spark creativity, and open doors to hands‑on experience. This page brings together essential AI resources, learning opportunities, and campus tools so you can quickly find what you need.
Tools and Resources
Cornell provides the infrastructure that makes responsible AI use possible, offering secure compute and model access, vetted tools, and developing clear policies that support thoughtful, accountable experimentation across the university.
Generative Artificial Intelligence for Education and Pedagogy
The report provides guidelines and recommendations for the use of Generative AI for education at Cornell. It evaluates the feasibility, benefits, and limitations of using generative AI technologies in an educational setting and its impact on learning outcomes.
For Learning
AI + Education
As both a subject of study and a tool for teaching and learning, AI demands new knowledge, skills, and critical thinking. Cornell is committed to expanding AI literacy and to supporting the thoughtful, responsible use — and intentional non‑use — of AI in education.
AI + Academic Integrity
Explore Cornell’s guidance on AI and Academic Integrity for course‑policy language, prevention strategies, and practical recommendations that support responsible AI use across the university.
Accepting Responsibility
Accepting Responsibility is an undergraduate-focused educational program that promotes academic integrity through learning, reflection, and personal accountability. Launched as a pilot in Spring 2024 and expanded campus-wide in Fall 2026, the program supports Cornell's commitment to honesty, fairness, and respect for the intellectual work of students, faculty, and instructional staff in all academic endeavors.
For Research
AI + Research
At Cornell, AI is both a subject of inquiry — ranging from algorithms and machine learning to ethics and human-AI interaction — and a tool that advances scientific breakthroughs.
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.
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.
Teams Channel
Stay connected with the Cornell AI Innovation Hub community. 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.
AI Explorations
Explorations are the Cornell AI Innovation Hub’s signature learning events. Join us for biweekly sessions where Cornell staff and faculty can discover emerging AI tools, hear from practitioners, and discuss real applications in research and education. Sessions are virtual, free and open to the Cornell community.
AI in Action Across Cornell
Ideas and uses cases for experimenting with AI. Explore how students, faculty, and partners are building responsible, human-centered AI across courses and projects.
Apply to be an AI Fellow
The AI Fellow program offers recent Cornell graduates with the opportunity to work directly with the AI Innovation Hub. Fellows collaborate with faculty, staff, and developers to design and build AI solutions that address genuine institutional challenges. For more information, please contact us.
Enroll in an AI Innovation Course
The AI Innovation Hub offers students a two-course pathway into applied AI. Start with a foundational course that covers large language models, Retrieval Augmented Generation, and agentic AI systems. Then advance to the AI Innovation Lab course, where you’ll join a team building a real, deployable AI tool for Cornell stakeholders.