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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
George Washington University has defined AI policies in 9 of 12 categories, with an overall coverage score of 75%.
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. 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 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. 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 provided sources do not define any specific AI detection tool policy.
GW IT maintains a list of AI tools with approval status, approved data classification levels, availability, and common use cases. 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. 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.
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