University of North Carolina at Chapel Hill has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. 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.
Follow specific AI guidelines in the syllabus.
If you are unsure, check with your instructor. In cases of alleged academic
misconduct, Student Conduct would reference guidance in your syllabus.
The use of AI must be open and documented.
You should declare, explain, and cite any use of AI in the creation of your work
using applicable standards (e.g. APA, MLA, course guidelines). Understand
that you are ultimately 100% responsible for your final product.
Specify AI policies for your course. Consider tailoring university or departmental guidelines to your specific course. Any guidelines or limits you specify for student submissions supersede the university guidelines.
Cheating: Any unauthorized conduct that actually or potentially compromises the integrity of the academic grading process, including, but not limited to, the following:
1. Using unauthorized materials or methods in completing any academic work (e.g., using notes, books, artificial intelligence, crib sheets, electronic devices, or other materials when prohibited);
The use of AI should be open and documented. It is essential to be transparent and document the use of AI in your work. Inform your students about the use of AI in generating course assignments, exam questions, and other relevant materials.
AI should help you think, notthink for you.
You may be able to use these tools to brainstorm ideas, research topics, and
analyze problems, but you must decide what’s appropriate and accurate.
Engage responsibly with AI.
You must evaluate AI-generated outputs for potential biases, limitations,
inaccuracies, false output, and ethical implications.
Will you encourage or discourage students use of AI for non-graded activities like study groups, summarizing assigned reading, or analyzing data?
Studying or reviewing course-related material
Writing or debugging code
Partial Generative AI Use (Idea Generation and Research Exploration): AI tools can assist with generating content or solving problems for specific parts of the assignment, but the student must refine and modify the AI-generated content and use proper citations.
For example, AI might draft a section of a literature review or suggest code for a programming problem that the student then edits and improves.
Cheating: Any unauthorized conduct that actually or potentially compromises the integrity of the academic grading process, including, but not limited to, the following:
1. Using unauthorized materials or methods in completing any academic work (e.g., using notes, books, artificial intelligence, crib sheets, electronic devices, or other materials when prohibited);
Authors are ultimately responsible and accountable for the content and methodology of their published and disseminated work.
Uploading information (e.g., research data, grant proposals, unpublished manuscripts, or analytical results) to a public AI tool is equivalent to releasing it publicly; thus, before any information from you or another individual is uploaded to a public AI tool, appropriate steps must be taken to ensure that the disclosure of that information is consistent with all rules and laws related to the handling of private information.
Uploading information (e.g., research data, grant proposals, unpublished manuscripts, or analytical results) to a public AI tool is equivalent to releasing it publicly; thus, before any information from you or another individual is uploaded to a public AI tool, appropriate steps must be taken to ensure that the disclosure of that information is consistent with all rules and laws related to the handling of private information.
The output may also be inaccurate or entirely fabricated, even if it appears reliable or factual.
The operations that produce AI output are often unknown to its end-users. As a result, these tools may generate content that is not amenable to verification via validating primary sources.
University of North Carolina at Chapel Hill policy is that its research be carried out with the highest standards of integrity and ethical behavior. To that end, everyone involved in conducting research under the auspices of the University is responsible for ensuring that they use best practices in proposing, performing, and reviewing research, as well as in reporting research results.
Lead Principal Investigators and other key personnel involved in the preparation of grant applications submitted through the University’s Research Administration Management System & eSubmission (RAMSeS) certify the submissions before the grants are sent to sponsors.
I can ensure that proper citation practices have been followed in this submission; and
The information that is proposed in this application represents original work by the investigators named in the application.
Norms and requirements surrounding the citation of AI-generated output, as well as disclosure of the use of AI technologies, are complex, rapidly evolving, and oftentimes unclear.
The use of AI must be open and documented.
You should declare, explain, and cite any use of AI in the creation of your work
using applicable standards (e.g. APA, MLA, course guidelines).
The use of AI should be open and documented. It is essential to be transparent and document the use of AI in your work. Inform your students about the use of AI in generating course assignments, exam questions, and other relevant materials.
Transparency and Documentation: You should disclose when you use generative AI for tasks that can impact decisions or have ethical or legal implications.
Cheating: Any unauthorized conduct that actually or potentially compromises the integrity of the academic grading process, including, but not limited to, the following:
1. Using unauthorized materials or methods in completing any academic work (e.g., using notes, books, artificial intelligence, crib sheets, electronic devices, or other materials when prohibited);
Unauthorized Assistance/Unauthorized Collaboration: Providing or receiving unauthorized assistance from another person in connection with academic work of any type.
Plagiarism Detection: Exercise caution while utilizing AI plagiarism detection tools, as their accuracy is not guaranteed and there may be instances where they fail to detect plagiarism. Additionally, be aware that individuals could potentially exploit AI technologies to circumvent detection software. Vigilance and mindful use of these tools is recommended.
Balance quality and timeliness for grading purposes: Take into consideration whether AI is suitable for grading an assignment. If it is deemed appropriate, make sure to verify that the output generated by the AI accurately reflects the actual accomplishments or feedback you would otherwise provide to students.
You are 100% responsible for your teaching materials. You are responsible for any mistakes made by AI if you choose to incorporate its output into your lectures or other course content.
Avoid entering confidential or personal data into AI tools. Putting confidential or personal data (e.g., your students’ One Card details,) into these tools exposes you and others to the loss of important information. Therefore, do not do so.
Communications: You may use generative AI when drafting audio, visual, or written communications. However, you must critically review content for tone, accuracy, and inclusivity to prevent potential misinformation, misinterpretations, and/or violations of intellectual property under the UNC-Chapel Hill Copyright Policy.
Please note that generative AI should not be used to hire, evaluate, or discipline employees.
Do not enter sensitive information (as defined by the UNC-Chapel Hill Information Classification Standard) into generative AI tools unless the University’s Information Security Office (ISO) has conducted a risk assessment of the generative AI tool and the University’s Data Governance Oversight Group (DGOG) has approved the tool to handle sensitive information.
Do not put personal or
confidential data into these tools.
Microsoft Copilot Chat (with Data Protection), formerly called Bing Chat Enterprise, is an institutionally-scoped generative AI chat tool available to all students, faculty and staff.
Do not use AI tools for protected health information (PHI), or data subject to HIPAA (Health Insurance Portability and Accountability Act), or Tier 3 data.
While Copilot with Data Protection has the appropriate safeguards for Tier 1 and Tier 2 data, do check to make sure any external obligation, data management plans, or system security plans allow for the use of this tool.
This standard defines four tiers of information:
* Tier 0: Public Information
* Tier 1: Business Information
* Tier 2: Confidential Information, and
* Tier 3: Restricted Information.
Tier 2 and Tier 3 information is "sensitive information" as it relates to University policies, standards, and procedures.
As the nation’s first public university, UNC-Chapel Hill is committed to AI whose invention, use and governance is in service of the public good.
The AI at Carolina website is a central platform for sharing knowledge, engaging in community, driving innovation, and fostering ethical AI practices.
To address these and other emerging concerns, the Provost and Deans established the UNC Generative AI Committee, with representatives from every academic unit.
Through the Office of the Provost, the AI Acceleration Program aims to encourage and enable Generative AI prototyping and application across campus in instruction, research and University operations.
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.
University of North Carolina at Chapel Hill has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
UNC-Chapel Hill’s student-facing guidance states that AI use must be open and documented, and students should declare, explain, and cite any AI use using applicable standards (e.g., APA/MLA/course guidelines). For instructors, the teaching guidelines likewise emphasize transparency and documentation, including informing students when AI is used in creating course assignments and exam questions; for administrative staff, the operations guidance recommends disclosure when AI is used for tasks impacting decisions or with ethical/legal implications.
UNC-Chapel Hill’s Student Code of Conduct defines cheating to include using artificial intelligence when it is an unauthorized method/material, and defines unauthorized assistance as receiving unauthorized assistance from another person for academic work. The teaching guidance advises instructors to exercise caution with AI plagiarism detection tools due to imperfect accuracy and potential circumvention.
UNC-Chapel Hill guidance repeatedly warns against entering personal/confidential/sensitive data into generative AI tools, and the staff operations guidance prohibits entering sensitive information into AI tools unless the Information Security Office has conducted a risk assessment and the Data Governance Oversight Group has approved the tool to handle sensitive information. ITS identifies Microsoft Copilot Chat (with Data Protection) as an institutionally-scoped tool and states not to use AI tools for PHI/HIPAA data or Tier 3 data; ITS also states Copilot with Data Protection has safeguards appropriate for Tier 1 and Tier 2 data (subject to external obligations overriding). The university’s Information Classification Standard defines four tiers (0-3) and labels Tier 2 and Tier 3 as sensitive information.
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