Brigham Young University AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
100%12 of 12
Permitted
Coursework
This university allows students to use AI tools in coursework, subject to course-level guidelines set by instructors.
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

Brigham Young University 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
AI PermittedAttribution RequiredViolations Enforced
  • BYU does not set one uniform university-wide rule for all coursework; it states that students are responsible for their work and that faculty determine classroom academic integrity expectations
  • In BYU Marriott and BYU Computer Science, AI use for assignments is governed at the course or assignment level, with faculty expected to specify when AI is allowed, how it may be used, and whether attribution is required

Many concerns arise about how GenAI can be used ethically, specifically within an academic context. As a student, you are responsible for your work and how you are utilizing AI.

Many concerns arise about how GenAI can be used ethically, specifically within an academic context. As a professor, you are the arbiter of academic integrity in your classroom.

In their syllabus, faculty include guidance on when GenAI is allowed, how it should be used, and proper attribution for their course. Faculty will remind students of the policies for their specific course (see sample statement for syllabi below).

Every assignment in a CS course names one of five levels, 0 through 4. Your syllabus sets the default for the course, and an individual assignment can change it. If you are unsure which level applies, ask your instructor before you start.

U2Examinations & Assessments
AI Prohibited in Exams
  • BYU's Academic Honesty Policy prohibits using unauthorized materials or unauthorized collaboration during examinations and assignments
  • The university materials provided do not set a separate AI-specific exam rule, so exam use of AI depends on whether it is authorized by the instructor or course policy

Cheating is a form of dishonesty where a student attempts to give the appearance of a level of knowledge or skill that the student has not obtained. Examples include:

* Copying from another person’s work during an examination or while completing an assignment

* Allowing someone to copy from you during an examination or while completing an assignment

* Using unauthorized materials during an examination or while completing an assignment

* Collaborating on an examination or assignment without authorization

* Taking an examination or completing an assignment for another or permitting another to take an examination or to complete an assignment for you

In their syllabus, faculty include guidance on when GenAI is allowed, how it should be used, and proper attribution for their course.

U3Learning & Study Assistance
AI Encouraged for Study
  • This is department-specific rather than a university-wide rule
  • BYU Computer Science expressly allows AI for learning assistance at some assignment levels when it is used for concept explanations, error interpretation, quizzes, and practice problems, provided the AI does not see the student's work or provide solutions to assigned problems

## Reference

AI helps you learn. It never sees your work.

* Sees your work No

* Writes your work No

### You can

* Ask for concept explanations

* Ask what an error message means

* Ask it to quiz you or make practice problems

* Ask about instructor-provided examples

### You can't

* Paste in your code, writing, or the assignment text

* Ask for a solution to the problem you were assigned

U4Code Generation & Programming
AI Code Restricted
  • BYU Computer Science has a structured, assignment-level AI policy for programming
  • Depending on the level set by the syllabus or assignment, AI code generation may be fully prohibited, limited to feedback only, allowed as a collaborative partner, or allowed to generate most code so long as the student verifies the output and can explain or validate it

Every assignment in a CS course names one of five levels, 0 through 4. Your syllabus sets the default for the course, and an individual assignment can change it. If you are unsure which level applies, ask your instructor before you start.

## No AI

You build it yourself.

* Sees your work No

* Writes your work No

### You can't

* Use a chatbot, for anything

* Use AI code generation or AI autocomplete in your editor

## Reviewer

AI critiques your work. You still write it.

* Sees your work Yes

* Writes your work No

### You can

* Show it your code or draft and ask what's wrong

* Ask for debugging guidance

* Ask for feedback on structure or readability

### You can't

* Submit a fix the AI wrote for you

* Ask it to rewrite, complete, or generate a solution

## Partner

You build it together. You understand all of it.

* Sees your work Yes

* Writes your work With you

### You can

* Have it write code or text you then review

* Work back and forth on a design

* Debug and refactor together

### You can't

* Submit anything you can't explain

## Full Use

AI builds it. You specify and verify it.

* Sees your work Yes

* Writes your work Yes

### You can

* Have AI generate all or most of the code

* Have AI generate tests, then refine against them

### You can't

* Submit output you haven't verified

* Skip the specification, or hand-wave how you know it works

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Research

U5Research Writing & Manuscript Preparation
Editing-Level Use AllowedDisclosure Required
  • In the Teacher Education graduate program, AI may be used in thesis writing only if it is clearly stated, approved by the student's chair and committee before the prospectus defense, and declared in the final thesis
  • The policy states that thesis work is intended to be the student's intellectual work, and gives an example limited to editing for clarity and coherence while preserving the student's own substantive content and analysis

The Teacher Education Graduate Program requires a thesis reflecting student learning on specific topics in education. In accordance with the university's Academic Honesty Policy, this thesis work is intended to be the intellectual work of the student. While Artificial Intelligence (AI) tools can assist in various aspects of thesis writing, any use of AI must be clearly stated and approved by the student’s chair and committee prior to the prospectus defense with a formal statement in the final thesis.

“I acknowledge and affirm that AI tools were used during the editing process to enhance the clarity and coherence of the language used in this thesis. These tools were applied judiciously to ensure that the intellectual content and integrity of the thesis remained intact. The substantive content, ideas, and analysis presented in this work are my own and adhere to ethical standards and the university guidelines and policies regarding academic honesty.”

U6Research Data & Analysis
Data Policy Defined
  • The Teacher Education graduate handbook states that AI use connected to thesis work is subject to committee approval and continuing review, including reassessment during the Data Meeting
  • It does not provide a general university-wide rule on using AI for data collection, analysis, synthetic data, or interpretation beyond saying the committee will review validity of methods and monitor AI use

The committee will assess ethical considerations, disciplinary norms, validity of methods, and adherence to program and university guidelines. The use of AI will be continually monitored and specifically reassessed during the Data Meeting, and the ways it was used must be explicitly stated in a declaration in the thesis.

U7Research Ethics & Integrity
Review Board InvolvedEthics Framework Active
  • The sources provided do not define a university-wide AI policy for grant proposals or IRB applications
  • BYU's provided sources address research ethics and integrity for thesis-related AI use in the Teacher Education graduate program by requiring committee review of ethical considerations, disciplinary norms, validity of methods, and compliance with university guidelines

The committee will assess ethical considerations, disciplinary norms, validity of methods, and adherence to program and university guidelines.

The substantive content, ideas, and analysis presented in this work are my own and adhere to ethical standards and the university guidelines and policies regarding academic honesty.

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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • BYU requires disclosure and attribution in some unit-level policies rather than through one single university-wide AI disclosure standard
  • BYU Marriott says faculty should specify proper attribution in the syllabus, and the Teacher Education graduate program requires AI use in theses to be clearly stated, approved in advance, and explicitly declared in the final thesis

In their syllabus, faculty include guidance on when GenAI is allowed, how it should be used, and proper attribution for their course. Faculty will remind students of the policies for their specific course (see sample statement for syllabi below).

While Artificial Intelligence (AI) tools can assist in various aspects of thesis writing, any use of AI must be clearly stated and approved by the student’s chair and committee prior to the prospectus defense with a formal statement in the final thesis.

The use of AI will be continually monitored and specifically reassessed during the Data Meeting, and the ways it was used must be explicitly stated in a declaration in the thesis.

U9Detection & Enforcement
Detection Tools UsedPenalties DefinedIntegrity Process
  • The provided sources do not state a university position on AI detection tools
  • For enforcement, BYU's Academic Honesty Policy says plagiarism and cheating may lead to disciplinary action through the Honor Code Office and academic sanctions by instructors

Intentional plagiarism is a form of intellectual theft that violates widely recognized principles of academic integrity as well as the Honor Code. Such plagiarism may subject the student to appropriate disciplinary action administered through the university Honor Code Office, in addition to academic sanctions that may be applied by an instructor.

Cheating is a form of dishonesty where a student attempts to give the appearance of a level of knowledge or skill that the student has not obtained.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • BYU provides faculty and staff access to selected enterprise AI tools and expects them to follow course-level guidance, privacy rules, and human responsibility for outputs
  • Faculty are expected to state when GenAI is allowed and how it should be used in their courses, while eligible faculty and staff may access ChatGPT Edu and employees may use Zoom AI Companion subject to BYU privacy policy and judgment about appropriate use

In their syllabus, faculty include guidance on when GenAI is allowed, how it should be used, and proper attribution for their course. Faculty will remind students of the policies for their specific course (see sample statement for syllabi below).

Employees and students are responsible for any output they generate, regardless of GenAI use, and for ensuring the accuracy and authenticity of what they say and share—in both form and content.

ChatGPT Edu is available to eligible CES faculty and staff at BYU, BYU-Idaho, BYU-Hawaii, BYU-Pathway, and Ensign College through an enterprise agreement with OpenAI. It is not available to students.

As of May 2024, part-time and full-time employees (including student employees) now have access to Zoom AI Companion.

Despite these security measures, BYU users should still follow BYU's Data Use, Privacy, and Security policy. Specifically, best judgement should be used when deciding if Zoom AI Companion should be used in any given meeting.

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedData Protection Active
  • BYU directs users to protect privacy when using AI and to avoid entering protected or nonpublic institutional data into AI tools
  • ChatGPT Edu is presented as a more private, institutionally overseen platform for eligible faculty and staff, but it is still not approved for FERPA-protected, HIPAA-protected, personal identification, or academic record data; GitHub Copilot is under evaluation and BYU says it has no private-use contract with Microsoft; Zoom AI Companion is available to employees through BYU login and should not train on BYU data according to Zoom's privacy policies

These privacy principles include purpose limitation, data minimization, lawfulness, transparency, protection, and duration. If your data use, or that of an AI service, violates these principles, you must find an alternative that adheres to these privacy principles.

Unlike other versions of ChatGPT, ChatGPT Edu ensures your data stays private and secure by default. Inputs and outputs are not used to train the model and you control how long data is stored. However, it’s important to avoid uploading sensitive information, such as personal identification, academic records (FERPA-protected data), or health information (HIPAA-protected data). ChatGPT Edu offers tailored privacy settings, strict data retention controls, and institutional oversight to ensure responsible use.

This makes it safer to use but is still not approved for use with the protected information above.

Employees and students ensure that the use of GenAI respects data privacy and security, especially when handling sensitive or personal information. For example, employees will not enter private student information (like names, Net IDs, email addresses, and grades) or other sensitive content (such as proprietary or nonpublic data) into GenAI tools, per BYU’s Data Use, Privacy, and Security Policy.

ChatGPT Edu is available to eligible CES faculty and staff at BYU, BYU-Idaho, BYU-Hawaii, BYU-Pathway, and Ensign College through an enterprise agreement with OpenAI. It is not available to students.

Copilot is an AI service that takes a text prompt and generates a response based on training data which was scraped from the web. Copilot also has the ability to generate images based on text prompts. BYU has no current contract with Microsoft for the private use of Copilot.

This service is currently being evaluated for safety and privacy. Refrain from placing any Nonpublic Institutional Data into this service. Always adhere to the BYU privacy policies.

According to GitHub's published Privacy Notice and security standards, when users are using Copilot for Individuals, input data is used to train the model.

As of May 2024, part-time and full-time employees (including student employees) now have access to Zoom AI Companion.

Doing so will give users access to a version of Zoom AI Companion that, according to Zoom's privacy policies, should not train Zoom's AI models on BYU data.

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • BYU has an institutional AI governance structure centered on an AI Committee and articulates privacy principles and institution-level adoption of selected AI services
  • The provided sources show enterprise arrangements for tools such as ChatGPT Edu and institutional oversight language, but they do not provide a single comprehensive university AI strategy statement in the materials successfully retrieved

AI Committee

Within the world of artificial intelligence, data privacy is a major concern. The nature of artificial intelligence, including the reliance on abundant and accurate data, lends itself to the potential abuse of personal data. Each AI model or service is different, but six privacy principles drive how data should be managed, whether when simply using a GenAI service or training a new GenAI model.

These privacy principles include purpose limitation, data minimization, lawfulness, transparency, protection, and duration.

ChatGPT Edu offers tailored privacy settings, strict data retention controls, and institutional oversight to ensure responsible use.

ChatGPT Edu is available to eligible CES faculty and staff at BYU, BYU-Idaho, BYU-Hawaii, BYU-Pathway, and Ensign College through an enterprise agreement with OpenAI.

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