James Madison University has defined AI policies across 11 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.
Instructors are strongly encouraged to establish syllabus language that outlines their expectations and defines the appropriate or inappropriate use of GenAI tools in relationship to course- or discipline-specific student learning outcomes.
Students should consult with their instructors and read the syllabus to clarify expectations regarding the use of GenAI tools or platforms in each course. When permitted by the instructor, students should appropriately acknowledge and cite their use of GenAI applications.
Instructors are strongly encouraged to establish syllabus language that outlines their expectations and defines the appropriate or inappropriate use of GenAI tools in relationship to course- or discipline-specific student learning outcomes.
Students should consult with their instructors and read the syllabus to clarify expectations regarding the use of GenAI tools or platforms in each course.
Students should consult with their instructors and read the syllabus to clarify expectations regarding the use of GenAI tools or platforms in each course.
The Libraries recommends th e Student Guide to Artificial Intelligence from the Imagining the Digital Future Center, and JMU students may sign up for a self-paced Libraries course on AI basics here.
JMU Libraries offers a variety of ways for faculty, staff, and students to learn about artificial intelligence (AI), critically examine its implications and effects, and use it appropriately in their work. We invite you to connect with us for consultations related to AI in research, teaching, and learning—and to explore the learning resources we’ve curated here for you.
JMU IT provides Microsoft Copilot Chat, a generative artificial intelligence (GenAI) tool with commercial data protections, as an approved GenAI resource for JMU students, staff, and faculty.
Researchers are encouraged to consult with co-investigators, advisors, collaborators, funding agencies and field experts to evaluate the appropriateness of using AI in research activities.
When using GenAI tools, maintaining research integrity and safeguarding intellectual property, confidentiality, and ethical standards is essential. All users should review and evaluate the output for accuracy and potential bias and should disclose the use of GenAI with proper attribution.
Human oversight is required with the use of AI tools. Users must review all AI-generated material for accuracy, reliability, and appropriateness. Outputs must be verified and refined to reflect human judgement and ethical standards.
Researchers should not input federal, state or university data into externally sourced (non JMU sanctioned) GenAI tools due to the high risk of exposing sensitive information to public or open-source domains.
No GenAI or AI tools are authorized for use with JMU data without prior approval from JMU Information Technology.
The University’s licensed GenAI tool, Microsoft Copilot Chat (“Copilot Chat”) is the only GenAI tool currently approved for use by the entire JMU community.
Requests for the use of AI tools, other than Microsoft Copilot Chat, must be submitted to IT for review and approval through a Technology Solution Request.
Human oversight is required with the use of AI tools. Users must review all AI-generated material for accuracy, reliability, and appropriateness. Outputs must be verified and refined to reflect human judgement and ethical standards.
When using GenAI tools, maintaining research integrity and safeguarding intellectual property, confidentiality, and ethical standards is essential. All users should review and evaluate the output for accuracy and potential bias and should disclose the use of GenAI with proper attribution.
Please note that the use of AI tools for research purposes may require additional review by JMU's Institutional Review Board (IRB).
Human oversight is required with the use of AI tools. Users must review all AI-generated material for accuracy, reliability, and appropriateness. Outputs must be verified and refined to reflect human judgement and ethical standards.
Students should consult with their instructors and read the syllabus to clarify expectations regarding the use of GenAI tools or platforms in each course. When permitted by the instructor, students should appropriately acknowledge and cite their use of GenAI applications.
When using GenAI tools, maintaining research integrity and safeguarding intellectual property, confidentiality, and ethical standards is essential. All users should review and evaluate the output for accuracy and potential bias and should disclose the use of GenAI with proper attribution.
Transparency matters. Any AI tool used to generate content that is then shared must include a disclaimer noting that an AI tool was used to generate it, the platform utilized, and the date of use.
The JMU community uses a plagiarism detection system called Turnitin. Turnitin is integrated into Canvas and is available for use by all JMU faculty and students.
Instructors at James Madison University have access to Turnitin, a tool integrated into Canvas can check submitted work for plagiarism and citation mistakes. Instructors can choose to enable Turnitin for Canvas assignments via SpeedGrader in Canvas.
JMU’s instance of Turnitin does not include the feature that looks for text that appears to be written by generative artificial intelligence (gAI).
Instructors are strongly encouraged to establish syllabus language that outlines their expectations and defines the appropriate or inappropriate use of GenAI tools in relationship to course- or discipline-specific student learning outcomes.
Staff and administrative/day-to-day use of approved GenAI tools such as CoPilot can enhance work efficiency and productivity. However, any usage should align with the guidelines listed below. JMU employees should discuss the appropriate use of GenAI in the workplace with their supervisors.
Faculty and staff are encouraged to discuss the responsible use and costs of AI tools and systems with their supervisors before requesting review.
Human oversight is required with the use of AI tools. Users must review all AI-generated material for accuracy, reliability, and appropriateness. Outputs must be verified and refined to reflect human judgement and ethical standards.
The University’s licensed GenAI tool, Microsoft Copilot Chat (“Copilot Chat”) is the only GenAI tool currently approved for use by the entire JMU community. Protected data (including personally identifiable information) as defined in the Data Stewardship Standard may be used in Microsoft Copilot Chat as necessary. The use of Highly Confidential Data in the JMU-licensed Copilot Chat is strictly prohibited.
No GenAI or AI tools are authorized for use with JMU data without prior approval from JMU Information Technology.
Requests for the use of AI tools, other than Microsoft Copilot Chat, must be submitted to IT for review and approval through a Technology Solution Request.
In accordance with EO 46, JMU faculty, staff, employees, affiliates, and contractors are prohibited from using DeepSeek AI Chatbot, or other tools developed by DeepSeek, on any Commonwealth of Virginia issued devices or through Commonwealth of Virginia owned, operated, or maintained wireless networks.
These pages were developed to provide an overview of our university community’s current approach to the evaluation and use of generative artificial intelligence (GenAI) platforms and tools.
The educational resources, guidelines, policies, and technology support pathways listed here have been assembled and refined by campus partners and through the work of the 2023-25 JMU Task Force on Artificial Intelligence.
JMU’s basic stance toward AI is to support disciplinary difference and academic freedom in a framework of responsible experimentation & appropriate, ethical use — while preparing our students for exciting future careers.
Due to state-level restrictions and university policy protections, all JMU technology requires review and approval by Information Technology — including AI and GenAI applications. This requirement applies to AI in research and teaching, as well as for more general use.
Given the changing nature of AI-related technologies and regulations, review and updates to these guidelines will be on-going.
Each of these responses can be summarized under the broader heading of how JMU might develop a common, campus set of expectations related to AI use in teaching, learning, and research across all of our fields and programs.
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.
James Madison University has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
JMU requires transparency when AI is used to generate shared content and expects attribution when AI is permitted in coursework or used in research. Students must acknowledge and cite AI use when an instructor allows it, and researchers should disclose use with proper attribution.
JMU uses Turnitin for plagiarism and citation checking, but its Turnitin instance does not include AI-writing detection. The academic integrity site says Turnitin is available to faculty and students, and the library page says instructors can choose to enable it for Canvas assignments. The cited sources do not state AI-specific penalties for undisclosed use.
JMU designates Microsoft Copilot with commercial data protection as the only broadly approved AI platform for community use and for handling university data. Use of other AI tools requires an IT review and approval process. Users are prohibited from inputting Highly Confidential (Class 1) data into Copilot and must not use DeepSeek tools on university devices or networks, per a state-level directive.
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