George Washington University AI Policy

Washington, D.C.PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeTeaching & Learning
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Policy Coverage
75%9 of 12
Prohibited
Coursework
This university prohibits AI tool usage for coursework and assignments unless explicitly authorized by the instructor.
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.
Active
Governance
The university has established AI governance at the institutional level.
POLICY OVERVIEW

AI Policy Summary

George Washington University has defined AI policies across 9 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. 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. 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 ProhibitedAttribution Required
  • The provost guidance emphasizes that instructors should clearly state permitted and prohibited uses in writing (e.g., in the syllabus and/or assignment instructions)
  • For academic work submitted for evaluation, the default rule is that students are prohibited from submitting AI-generated content unless they have the instructor’s explicit permission

In the absence of explicit directions to the contrary from instructors, the following default rules apply at the University.

1. Work submitted for evaluation is represented as the student’s own intellectual product. Students may not submit content (e.g., ideas, text, code, images) for evaluation that was generated, in whole or in part, by Generative Artificial Intelligence tools (such as ChatGPT and other large language models). Doing so without instructor’s explicit permission constitutes cheating under the Code of Academic Integrity and is therefore prohibited.

The Office of the Provost encourages instructors to state explicitly and affirmatively their expectations regarding student use of GAI tools. Instructors should specify in writing the permitted and prohibited uses of GAI tools in their courses. Instructors might 1) generally permit the use of GAI tools; 2) generally forbid their use; or 3) permit their use for certain purposes on certain assignments, but not others. If an instructor wishes to permit certain uses of GAI tools, such uses must be set forth explicitly in the course syllabus and/or assignment instructions.

U2Examinations & Assessments
AI Prohibited in Exams
  • This applies even when Internet use is otherwise permitted for the assessment
  • The provost guidance sets a default prohibition on using generative AI tools during any assessment (including exams, tests, and quizzes) unless the instructor explicitly states otherwise in advance and in writing

Unless the instructor explicitly states otherwise in advance and in writing, the use of GAI tools during any assessment (e.g., examination, test, quiz) whether taken in the classroom or elsewhere, constitutes cheating under the Code of Academic Integrity and is therefore prohibited. This prohibition includes assessments for which the use of the Internet is otherwise permitted.

U3Learning & Study Assistance
Guidelines Issued
  • The provost guidance permits students to use generative AI tools for learning and study when the output is not submitted to an instructor for evaluation
  • Examples explicitly include studying for examinations, tests, and quizzes, and using AI for learning, studying, brainstorming, and reviewing generated content to prepare for a test

Students are permitted to use GAI tools to generate content that is not submitted to an instructor for evaluation. For example, using GAI tools to study for examinations, tests, and quizzes is permitted. Likewise, on assignments where the use of the Internet is not otherwise prohibited by the instructor, GAI tools may be used for learning, studying, and brainstorming.

Examples (illustrative only) of permitted conduct:

• A student types a prompt into a GAI tool and reviews the generated content to help them study for a test.

• A student types a prompt into a GAI tool and uses the generated content to help them brainstorm ideas for a term paper or research project.

U4Code Generation & Programming
AI Code RestrictedAttribution Required
  • The provost guidance treats code as content and prohibits submitting AI-generated code for evaluation unless the instructor provides explicit permission
  • The guidance also provides model syllabus language indicating that including AI-generated code in work submitted for evaluation requires documentation/crediting of the source and warns that failure to do so constitutes failure to attribute under the Code of Academic Integrity

Work submitted for evaluation is represented as the student’s own intellectual product. Students may not submit content (e.g., ideas, text, code, images) for evaluation that was generated, in whole or in part, by Generative Artificial Intelligence tools (such as ChatGPT and other large language models). Doing so without instructor’s explicit permission constitutes cheating under the Code of Academic Integrity and is therefore prohibited.

If you include content (e.g., ideas, text, code, images) that was generated, in whole or in part, by Generative Artificial Intelligence tools (including, but not limited to, ChatGPT and other large language models) in work submitted for evaluation in this course, you must document and credit your source. For example, text generated using ChatGPT-4 should include a citation such as: “ChatGPT-4. (YYYY, Month DD of query). ‘Text of your query’. Generated using OpenAI. https://chat.openai.com/.” Material generated using other tools should be cited accordingly. Failure to do so in this course constitutes failure to attribute under the George Washington University Code of Academic Integrity.

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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
Citation Required
  • Separately, GW Law guidance states that students should cite generative AI when relying on it as a source of language, facts, or ideas, and notes that AI citation requirements for class assignments may be determined by the individual professor
  • The provost guidance includes model language stating that if AI-generated content is included in work submitted for evaluation, students must document and credit the source, and failure to do so constitutes failure to attribute under the Code of Academic Integrity

If you include content (e.g., ideas, text, code, images) that was generated, in whole or in part, by Generative Artificial Intelligence tools (including, but not limited to, ChatGPT and other large language models) in work submitted for evaluation in this course, you must document and credit your source.

Failure to do so in this course constitutes failure to attribute under the George Washington University Code of Academic Integrity.

All citation requirements apply to the use of generative AI. When relying on generative AI as a source of language, facts, or ideas, cite the generative AI as a source. AI citation requirements for class assignments may be determined by the individual professor. Make sure to clarify the expectations with regard to citing information taken from AI. Always err on the side of citing.

U9Detection & Enforcement
Detection Tools UsedPenalties DefinedIntegrity Process
  • The provided sources do not define any specific AI detection tool policy
  • The Code of Academic Integrity PDF describes that attempts to commit prohibited acts are violations and may be sanctioned, and lists possible sanctions (e.g., failure of assignment/course, suspension, expulsion)
  • The provost guidance connects unauthorized submission of AI-generated content to cheating under the Code of Academic Integrity and notes that an instructor who suspects an academic integrity violation should consider submitting a Charge of Academic Dishonesty

Students may not submit content (e.g., ideas, text, code, images) for evaluation that was generated, in whole or in part, by Generative Artificial Intelligence tools (such as ChatGPT and other large language models). Doing so without instructor’s explicit permission constitutes cheating under the Code of Academic Integrity and is therefore prohibited.

instructor who suspects an academic integrity violation should consider submitting a Charge of Academic Dishonesty.

Attempts to commit acts prohibited by this Code constitute a violation of this Code and may be sanctioned to the same extent as completed violations, even if such attempts are unsuccessful or incomplete.

Possible sanctions include, but are not limited to, the following:

4) failure of assignment (generally recommended for first violation).

5) failure of course, including a transcript notation, until graduation and successful petition for removal (generally recommended for second violations or egregious first violations).

6) suspension from the University for a specified period of time, including a transcript notation until seven (7) years from the date of the incident and successful petition for removal.

7) expulsion (permanent removal from the University), including a permanent transcript notation.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • The provided sources do not define rules for faculty use of AI for grading, feedback, or recommendation letters
  • The GW Privacy Office states that staff and faculty must be vigilant about the data entered into AI tools and must ensure AI use does not violate GW privacy, data protection, and security policies
  • GW IT provides administrative guidance directing staff and administrators on responsible use and procurement of AI technologies, and it separately provides guidance for using approved AI tools for meeting minutes/notes with procurement/risk-review and GW login requirements

This administrative guidance directs GW staff and administrators on the responsible use and procurement of artificial intelligence (AI) technologies and informs them about GW-approved AI tools available for administrative functions.

Guidance: It is acceptable to use GW Approved AI Tools to take notes and assist in producing GW meeting minutes for use in developing minutes, with the following caveats:

• The AI tool must have been reviewed and approved through GW’s procurement and risk review processes. Use of the AI Tool should also require a GW login, which indicates that appropriate security and privacy structures are in place for the use of that AI Tool.

Staff and faculty must be vigilant about the data they enter into any AI Tools, and must be certain that the use of AI Tools will not, in any way, violate GW’s privacy, data protection and security policies and requirements.

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedData Protection ActiveUnapproved AI Blocked
  • GW IT maintains a list of AI tools with approval status, approved data classification levels, availability, and common use cases
  • The GW Privacy Office states that staff and faculty must ensure AI use does not violate GW privacy, data protection, and security policies and urges special care with sensitive data
  • For specific tools (e.g., Microsoft Copilot), the guidance instructs users to log in with GW credentials to apply required security and data protections, and indicates approved data classifications (e.g., Public and Restricted) while stating that regulated data should not be shared

This chart highlights AI tools approved for use within the GW community, including approved use cases, and data classification guidance.

Always log in with your UserID and password to apply required security and data protections, which ensures your data is not used to train public AI models.

Approved for Public and Restricted data

Regulated data should not be shared

Staff and faculty must be vigilant about the data they enter into any AI Tools, and must be certain that the use of AI Tools will not, in any way, violate GW’s privacy, data protection and security policies and requirements.

Be especially careful with sensitive data when using AI tools and consider whether the data you are using will compromise regulatory, contractual, or legal obligations.

U12University AI Governance & Strategy
Governance Addressed
  • The meeting-minutes guidance states that approved AI tools must be reviewed and approved through GW procurement and risk review processes
  • GW IT states that its AI Evaluation & Status chart highlights AI tools approved for use within the GW community and includes data classification guidance, and notes that AI is rapidly evolving and the page will be updated

This chart highlights AI tools approved for use within the GW community, including approved use cases, and data classification guidance.

AI is an emerging technology and is rapidly evolving. Please check back often for updates.

The AI tool must have been reviewed and approved through GW’s procurement and risk review processes.

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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