University of Oregon AI Policy

OregonPublicLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
100%12 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.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Tools Active
Detection
The university employs AI detection software (such as Turnitin or similar tools) to identify AI-generated content in submissions.
Committee Active
Governance
The university has established a dedicated committee, task force, or working group to oversee AI governance.
POLICY OVERVIEW

AI Policy Summary

University of Oregon has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI tools are generally permitted in coursework, subject to instructor guidelines. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.

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Teaching & Learning

U1Coursework & Assignments
Instructor Discretion
  • The university also advises instructors to consider making AI use voluntary, or to provide an opt-out alternative when AI use is required for an assignment or activity
  • The university encourages instructors to set course-specific generative AI rules in the syllabus and reinforce them in assignment instructions, indicating that expectations for AI use in graded work are at instructor discretion

We strongly encourage instructors to have an explicit policy about generative artificial intelligence (GenAI) in their course syllabus, including any relevant distinctions between GenAI use (as process) and GenAI content (as product). We also encourage instructors to reinforce their expectations in assignment instructions and in conversation with students.

We also advise that instructors consider making AI use voluntary or, if AI use is part of a required course assignment or activity, include an opt-out alternative for students who do not want to create an account with an AI system or interact with them.

U2Examinations & Assessments
AI Prohibited in ExamsIntegrity Code Applies
  • It also notes that using disallowed tools may violate the university’s academic misconduct policy
  • The university provides sample syllabus policy language that allows instructors to prohibit AI-enabled wearables in class and require students to remove them before exams

Use of AI-enabled glasses or other AI-enabled digital wearables is not allowed in our class. Students will be asked to remove them prior to exams and class sessions. Students with prescription smart glasses should be prepared to switch to standard prescription glasses or contacts while in class.

Use of these disallowed tools may violate UO’s academic misconduct policy.

U3Learning & Study Assistance
AI Encouraged for Study
  • It does not set a single university-wide permission rule for student study use and instead emphasizes course-level transparency
  • The university’s teaching guidance frames GenAI systems as tools that can support student learning and encourages instructors to discuss with students how GenAI may help or hinder learning

Like any tool students might use to engage in the work of a course—from library books to research databases to internet search engines—GenAI systems present opportunities for students to learn important skills, including creativity, critical thinking, ethical decision-making, and discerning use of resources, among others.

We encourage instructors to talk explicitly with students about the pluses and minuses of GenAI systems as they help or hinder learning in a course.

U4Code Generation & Programming
AI Code RestrictedAttribution Required
  • No explicit, university-wide rule for student programming assignments is defined in the provided sources
  • The university’s communications guidance permits the use of generative AI tools to generate or check code for web publishing purposes, but prohibits sharing code used to protect UO systems and institutional information with publicly available AI tools

Generative AI tools such as ChatGPT might be used to

* Generate or check code used on websites for web publishing purposes. (Code used in protection of UO systems and institutional information should never be shared with a publicly available AI tool.)

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Research

U5Research Writing & Manuscript Preparation
Editing-Level Use Allowed
  • The provided sources do not define research-specific rules for drafting/editing scholarly manuscripts beyond these general attribution expectations
  • The university’s communications guidance states that material taken from AI content generators should be attributed, and that work should cite AI-generated elements with specific details (tool organization, tool title/version, prompt, date, and a link)

The use of material taken from any source—whether directly quoted, paraphrased, or otherwise adapted—should be attributed to that source. This includes materials from artificial intelligence (AI) content generators and generative AI tools such as ChatGPT. There may be specific citation formats required for academic uses.

In general, all work, published or not, should cite AI-generated elements, noting the organization responsible for creating and maintaining the tool used, the title of and version of the tool, the prompt used, the date, and a link to the tool.

U6Research Data & Analysis
Data Policy Defined
  • The Copilot guidance also limits what types of university data are appropriate to input
  • The provided sources do not define research-specific rules on AI for data collection/analysis beyond these general data handling statements
  • The university’s AI data privacy guidance recommends that instructors encourage students to use Microsoft Copilot with Data Protection as the most secure option and to exercise caution with non-contracted tools to avoid unintended release of intellectual property, copyrighted materials, trade secrets, or personally identifiable information

Microsoft Copilot with Data Protection is currently your most secure option for generative AI. When you're logged into Copilot with your UO account, the data you enter will be encrypted and won't be used to train any external large language models.

In contrast, the UO currently doesn't have enterprise contracts that cover ChatGPT, DALL-E, or most other AI tools. We therefore recommend that users exercise caution when interacting with these systems to avoid unintended release of intellectual property, copyrighted materials, trade secrets, or personally identifiable information such as addresses or other contact information.

Only low-risk (green) data is appropriate for Copilot.

Don't enter moderate- or high-risk data (amber or red).

U7Research Ethics & Integrity
Review Board InvolvedEthics Framework Active
  • The provided sources do not define AI-specific requirements for grant proposals, IRB applications, or other research ethics filings
  • The university’s communications guidance warns that failure to follow expectations around proper citation and data sharing/privacy in AI use could constitute a violation of UO policy (including the student conduct code) and/or laws

Failure to adhere to expectations around proper citations could constitute a violation of UO policy, including the student conduct code, and/or state or federal laws.

Failure to adhere to expectations around data sharing and privacy could constitute a violation of UO policy, the student conduct code, and/or state or federal laws.

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Academic Integrity

U8Disclosure & Attribution Requirements
Citation Required
  • It also notes that academic uses may have specific citation formats required
  • The university’s communications guidance requires attribution for material taken from AI content generators and states that all work should cite AI-generated elements, providing specific elements to include in that citation

The use of material taken from any source—whether directly quoted, paraphrased, or otherwise adapted—should be attributed to that source. This includes materials from artificial intelligence (AI) content generators and generative AI tools such as ChatGPT. There may be specific citation formats required for academic uses.

In general, all work, published or not, should cite AI-generated elements, noting the organization responsible for creating and maintaining the tool used, the title of and version of the tool, the prompt used, the date, and a link to the tool.

U9Detection & Enforcement
Detection Tools UsedPenalties Defined
  • The provided sources do not define a university stance on AI detection tools
  • The student conduct code describes enforcement procedures and sanctions for academic misconduct in a course, including required reporting by relevant university officials and potential academic sanctions up to an “F” or “N” for the course

Regardless of the method of resolution, relevant University Officials, including faculty members, are required to file a written report of any academic misconduct with the Director.

If the Respondent is found in violation of academic misconduct in a course, in addition to the Action Plan imposed through the regular student conduct procedures, the faculty member may assign an appropriate academic sanction, up to and including an “F” or “N” for the course.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • The university’s communications guidance states that humans must evaluate, fact-check, and review AI-generated outcomes before using them in any work product
  • It also states that marketing and communications staff must provide judgment, reasoning, and context and that a human editor should review and approve AI-generated content suggestions before publication

Humans must evaluate, fact-check, and review AI-generated outcomes before using in any work product.

UO marketing and communications staff must provide judgment, reasoning, and context while also infusing life and the UO brand voice into final products.

Provide initial editing and proofreading. (A UO, human editor should always review and approve any AI-generated content suggestions before publication.)

U11Institutional Data Protection & Approved AI Platforms
Data Protection ActiveUnapproved AI Blocked
  • Copilot guidance also restricts inputs to low-risk data and prohibits entering moderate- or high-risk data
  • UO guidance identifies Microsoft Copilot with Data Protection as the most secure option for generative AI and states that the university does not have enterprise contracts covering ChatGPT, DALL-E, or most other AI tools, recommending caution to avoid unintended release of sensitive or protected information
  • Separately, UO policy assigns responsibilities to data custodians and data consumers to follow data handling and protection policies and implement safeguards, and the communications guidance prohibits feeding personally identifiable or confidential information, intellectual property, licensed/copyrighted materials, or source code into AI tools

Microsoft Copilot with Data Protection is currently your most secure option for generative AI.

In contrast, the UO currently doesn't have enterprise contracts that cover ChatGPT, DALL-E, or most other AI tools. We therefore recommend that users exercise caution when interacting with these systems to avoid unintended release of intellectual property, copyrighted materials, trade secrets, or personally identifiable information such as addresses or other contact information.

Only low-risk (green) data is appropriate for Copilot.

Don't enter moderate- or high-risk data (amber or red).

Data Consumers’ responsibilities include:

* Following the policies and procedures established by the appropriate Data Stewards, Data Custodians, and the CISO.

* Complying with University policies and federal, international, and state laws and regulations associated with the University Data and information system use.

* Implementing safeguards for protecting data as prescribed by appropriate Data Stewards and the CISO.

Do not use in prompts or otherwise feed any AI tool any personally identifiable or confidential information, intellectual property, licensed or copyrighted materials, or any source code, especially that protecting institutional data.

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • The provided sources define unit-level guiding principles for AI use in UO Marketing and Communications (emphasizing accuracy, transparency, and avoiding disclosure of proprietary or confidential institutional data), but they do not define a university-wide AI governance body, committee, or campus-wide AI strategy/roadmap

University Communications encourages exploration of generative AI services with the following guiding principles in mind:

Generative artificial intelligence (AI) services, which generate text, images, or other media in response to human-generated prompts, are rapidly growing and evolving. Many generative AI applications carry immense potential across a wide range of marketing communications disciplines, including graphic design, writing, and software development. However, users must exercise caution to ensure accuracy and transparency and to avoid disclosure of proprietary or confidential institutional data.

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.

FREQUENTLY ASKED QUESTIONS

Common Questions About University of Oregon's AI Policies

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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