Cornell College AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
33%4 of 12
Varies by Course
Coursework
AI use in coursework is determined at the instructor level. Each course may have different rules about AI tools.
Not Defined
Disclosure
No specific AI disclosure or attribution requirements have been published.
Not Defined
Detection
No specific AI detection or enforcement tools have been described in university publications.
Strategy Set
Governance
A formal AI governance strategy or institutional framework has been defined.
POLICY OVERVIEW

AI Policy Summary

Cornell College has defined AI policies across 4 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. There are no specific AI disclosure requirements currently defined. At the institutional level, the university has established guidelines for faculty and staff AI use, AI governance strategy.

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Teaching & Learning

U1Coursework & Assignments
Instructor Discretion
  • The white paper also says the college wants students to explore and use AI while continuing their own pursuit of knowledge and critical thinking
  • Cornell College states that students have been given guidance on how they should and should not use AI in academic pursuits, but it does not provide a university-wide rule in the provided sources for use of AI on graded coursework and assignments

We have offered guidance to students in terms of how we think that they should use, and not use, AI (in their academic pursuits).

AI provides both an opportunity and a challenge. We want to encourage students to explore and use AI to their advantage and to become fluent in its use, while at the same time, continue their pursuit of knowledge and critical thinking, which takes mental effort and will distinguish them from others in their futures.

U2Examinations & Assessments
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No policy defined yet
U3Learning & Study Assistance
AI Encouraged for Study
  • Cornell College encourages student AI use for learning in broad terms and frames AI literacy as a college priority
  • The provided sources support encouragement of exploration and fluency with AI, but they do not set detailed university-wide rules for tutoring, study aids, or personal study use

We want to encourage students to explore and use AI to their advantage and to become fluent in its use, while at the same time, continue their pursuit of knowledge and critical thinking, which takes mental effort and will distinguish them from others in their futures.

Knowing that AI is rapidly being incorporated into everything naturally leads me to believe that we must ensure that ALL students graduate with marketable AI skills—not a few students ... but all students. AI literacy needs to be a graduation requirement much as other outcomes are, such as critical reasoning/thinking and effective communication skills.

U4Code Generation & Programming
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No policy defined yet
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Research

U5Research Writing & Manuscript Preparation
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No policy defined yet
U6Research Data & Analysis
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No policy defined yet
U7Research Ethics & Integrity
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No policy defined yet
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Academic Integrity

U8Disclosure & Attribution Requirements
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No policy defined yet
U9Detection & Enforcement
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No policy defined yet
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Institutional & Administrative

U10Faculty & Staff Use
Faculty Policy Defined
  • Cornell College states that faculty and staff have begun exploring AI for teaching, learning support, process improvement, and lesson planning
  • The white paper presents this as active exploration rather than a mandatory or prohibitory rule, and it also notes exploration of an AI chatbot to support students, faculty, and staff

To date, on campus, faculty and staff have begun to explore AI’s potential to improve everything that we do at Cornell, from teaching and learning, to supporting students, to improving our processes.

We have experimented with AI in the classroom, for example, to generate new ideas worthy of analysis or to improve lesson plans.

As a result, we are actively exploring adding an AI chatbot to our website as a support tool for students, faculty and staff.

U11Institutional Data Protection & Approved AI Platforms
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No policy defined yet
U12University AI Governance & Strategy
AI Strategy Defined
  • This is strategic direction rather than a finalized governance policy
  • Cornell College states that it is moving toward an institutional strategy for AI integration and an AI-forward direction
  • The white paper frames AI as a strategic institutional priority, says the college has already consulted external experts and experimented on campus, and proposes AI literacy as a graduation requirement

We have consulted with experts at other institutions to better understand AI’s uses and potential.

Ultimately, we need an institutional strategy for AI integration, and that is where we are headed. We need to set our direction as an AI-forward institution that will not only transform the Cornell experience but will also promote our role as innovators for students and their families, thus supporting student retention and recruitment.

Knowing that AI is rapidly being incorporated into everything naturally leads me to believe that we must ensure that ALL students graduate with marketable AI skills—not a few students ... but all students. AI literacy needs to be a graduation requirement much as other outcomes are, such as critical reasoning/thinking and effective communication skills.

DocuMark: Responsible AI Use for Academic Integrity

Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.

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Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai