Virginia Polytechnic Institute and State University has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, 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. 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.
In this course, generative AI tools may only be used for specific assignments that are designated by the instructor. Any assignment requiring use of AI will be clearly outlined in the assignment instructions and may include tasks such as brainstorming, analyzing information or editing. For all other assignments, the use of AI tools is prohibited and constitutes unauthorized assistance under the Honor Code. When AI use is permitted, students must disclose how AI was used through appropriate citations.
Students enrolled in this course are responsible for abiding by the undergraduate Honor Code on each assignment and/or exam. A student who has doubts about how the Honor Code applies to any assignment is responsible for obtaining specific guidance from the course instructor before submitting the assignment for evaluation. Students are strongly discouraged from misusing unauthorized online sources including generative artificial intelligence outlets.
Students enrolled in this course are responsible for abiding by the undergraduate Honor Code on each assignment and/or exam. A student who has doubts about how the Honor Code applies to any assignment is responsible for obtaining specific guidance from the course instructor before submitting the assignment for evaluation.
In this course, generative AI tools may only be used for specific assignments that are designated by the instructor. Any assignment requiring use of AI will be clearly outlined in the assignment instructions and may include tasks such as brainstorming, analyzing information or editing. For all other assignments, the use of AI tools is prohibited and constitutes unauthorized assistance under the Honor Code.
Appropriate and inappropriate uses of generative AI vary from course to course (and may even vary among assignments and activities within a single course), so students need clear, context-specific guidance they can confidently apply in each setting.
Students enrolled in this course are responsible for abiding by the undergraduate Honor Code on each assignment and/or exam. A student who has doubts about how the Honor Code applies to any assignment is responsible for obtaining specific guidance from the course instructor before submitting the assignment for evaluation. Students are strongly discouraged from misusing unauthorized online sources including generative artificial intelligence outlets.
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Responsible and Ethical Use Ensure AI use in writing and editing complies with academic integrity, sponsor requirements, and data security policies.
Data Security and Privacy Protect reference lists, annotations, and draft materials in accordance with university security standards.
Use only Virginia Tech–approved AI systems for managing literature and notes.
Avoid using personal or public accounts for collaborative writing or AI-assisted editing.
Before submitting a manuscript, outreach piece, or translation that involved AI assistance:
Confirm that the platform and data storage align with the risk level of your project and have been approved by Virginia Tech.
Test AI- or machine learning-generated code and models in a controlled environment before deployment.
Document human verification steps and approvals in your version control or lab notebook.
Am I complying with the Virginia Tech’s Risk Classification Standard, disciplinary standards, and research sponsor and other contractual data security requirements?
Fairness and Transparency Acknowledge AI’s role in idea creation to promote integrity and reproducibility.
Fairness and Transparency Maintain transparency in code authorship, model development, and disclose AI assistance in automation or algorithm design.
AI cannot decide whether a study requires review or approval by the IRB, IACUC, or IBC. Researchers must consult the appropriate compliance office.
Use only Virginia Tech-approved AI tools.
Do not enter confidential or proprietary information (including grant concepts, unpublished data, inventions, or other information that cannot be shared publicly) into tools that are not Virginia Tech-approved.
When AI use is permitted, students must disclose how AI was used through appropriate citations.
Explain the importance of transparency in using AI tools, and what citations should look like.
Do you expect all prompts and output to be provided, or just that students include the name of the AI tool used? Refer to the appropriate citation style guide.
Due to these concerns, Virginia Tech has not licensed or endorsed any specific platforms for detecting generative AI, and TLOS recommends caution when using these tools.
Please also refrain from using AI detection software to check students’ assignments/exams, as the Office for Undergraduate Academic Integrity does not accept AI detection reports as a form of evidence for Honor Code cases.
People remain accountable for decisions influenced by AI. A human should always be in the loop for important decisions.
At Virginia Tech, the only generative AI tool currently licensed and approved for use by all faculty, staff, and students is Microsoft Copilot, which is powered by OpenAI’s large language models.
Approved artificial intelligence platforms and services for university use, with guidance on access and appropriate usage.
At Virginia Tech, the only generative AI tool currently licensed and approved for use by all faculty, staff, and students is Microsoft Copilot, which is powered by OpenAI’s large language models.
Use only Virginia Tech-approved AI tools.
Do not enter confidential or proprietary information (including grant concepts, unpublished data, inventions, or other information that cannot be shared publicly) into tools that are not Virginia Tech-approved.
Access to DeepSeek on state-owned or managed resources is prohibited.
A new state executive order prohibits the use of DeepSeek’s artificial intelligence large language model via the website (deepseek.com) or app on university-owned devices and networks, and requires that these applications be deleted from university-owned devices. Effective immediately (Feb. 12, 2025), access to these apps and websites will be restricted on all Virginia Tech and state-managed networks, including eduroam, VT Open WiFi, wired, and VPN (virtual private network) at Virginia Tech.
Virginia Tech is establishing comprehensive AI governance to guide responsible artificial intelligence adoption across all university functions. Our governance approach ensures specialized AI expertise while integrating with university-wide technology governance, providing clear accountability and decision-making structures.
The AI Working Committee will serve as a formal standing working committee within Virginia Tech’s IT governance framework, reporting to the IT Governance Advisory Committee with delegated responsibility for AI-related issues across the university.
In Fall of 2025, the AI Working Group published the Responsible and Ethical AI Framework for Virginia Tech, establishing governance structures, ethical principles, and implementation guidance for responsible AI adoption across all university functions.
Note: Throughout this document, the working group that authored this report will be referred to as the current AI Working Group. This group recommends establishing a permanent AI Working Committee as part of IT governance.
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.
Virginia Polytechnic Institute and State University has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
In undergraduate course contexts, the academic integrity syllabus guidance provides that when AI use is permitted, students must disclose how AI was used through appropriate citations. The same syllabus guidance suggests instructors require transparency and specify what AI citations should look like, including whether prompts/output should be provided or whether naming the tool is sufficient.
Virginia Tech teaching/learning guidance states that the university has not licensed or endorsed any specific AI detection platforms and recommends caution. It further advises faculty to refrain from using AI detection software to check students’ assignments/exams and states that the Office for Undergraduate Academic Integrity does not accept AI detection reports as evidence for Honor Code cases.
Virginia Tech provides an “AI Tools & Access” page describing approved AI platforms and services for university use, and teaching guidance states Microsoft Copilot is the only generative AI tool currently licensed and approved for use by all faculty, staff, and students. Research guidance requires use of only Virginia Tech-approved AI tools and prohibits entering confidential/proprietary information into non-approved tools. Virginia Tech also prohibits access to DeepSeek on state-owned or managed resources (including university-owned devices and networks), effective immediately Feb. 12, 2025.
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