Duke 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.
Under the Duke Community Standard, unauthorized use of generative AI is treated as cheating. This means you have the discretion to define how, if, and when generative AI may be used in your courses.
Because the indiscriminate use of generative AI conflicts with our goals of teaching and learning, the Department does not permit the use of generative AI for any stage of the conception, research, or writing of class assignments without the clear written and verbal permission of the instructor;
Unauthorized use of generative AI for such will be treated as plagiarism and a violation of Duke’s Community Standard. Each instructor’s class policies about AI use should be stated in the syllabus and clarified in class as needed.
using, consulting, and/or maintaining unauthorized shared resources including, but not limited to, test banks, solutions materials and/or unauthorized use of artificial intelligence (AI) software (spelling and grammar checkers are permissible unless stated otherwise by course instructor);
the Department also does not permit the use of generative AI to translate Greek or Latin texts for assignments, examinations, or other assessed work without the clear written and verbal permission of the instructor.
The same applies to all assessed work in the PhD and Bridge programs (e.g. class assignments, Qualifying and Preliminary Exams, Dissertation).
As the field of artificial intelligence evolves, Duke invites you to engage creatively, think critically, and shape the future of AI.
Students can benefit from using AI as a tutoring aid.
Students need to understand how generative AI works and the data behind it. They should also learn how to write effective prompts. The reality is it will be a part of their careers and everyday life so they should have the skills to use it correctly.
Used judiciously, AI can improve writing and debug code. The goal should be to guide students in using AI in ways that enhance their learning and writing, rather than relying on AI-generated content as a shortcut.
Instructors can emphasize why original writing (or coding or creativity) matters and what it means to develop your own voice and ideas.
Because the indiscriminate use of generative AI conflicts with our goals of teaching and learning, the Department does not permit the use of generative AI for any stage of the conception, research, or writing of class assignments without the clear written and verbal permission of the instructor;
not defined
Sensitive (High)Sensitive data is the most restrictive data classification category and is reserved for data that Duke is either required by law to protect, or which Duke protects to mitigate institutional risk.
• Research data
Sensitive information, such as PHI and other research data, discussed in meetings could be exposed, and this data might be used to train AI systems, potentially leading to unintended data exposure.
Reflecting Duke University’s leadership in AI development, implementation, and research, the Provost has launched a collaborative strategic AI initiative designed to bring together Duke experts across all disciplines who are advancing AI research and applications, addressing the most pressing ethical challenges posed by AI, and shaping the future of AI in the classroom and our lives.
The AI at Duke website is a central hub for knowledge and resources in the rapidly evolving field of AI. It is designed to amplify AI initiatives and stories across Duke and provide information to the campus community on harnessing the power of AI in research, teaching and learning and using AI ethically and responsibly.
Students should be made aware of the ethical limitations of AI-generated content to help them understand why presenting it as their own work is inappropriate. If students are allowed to use AI, they need to understand how AI content must be reviewed and verified before incorporating it into their own writing.
Sample syllabus language might be “Contributions from anyone or anything else in your writing—including AI sources—must be properly quoted and cited every time they are used.”
All instructors should update their syllabi to include clear guidance on the use of generative AI in their courses.
unauthorized use of artificial intelligence (AI) software (spelling and grammar checkers are permissible unless stated otherwise by course instructor);
Again, we do not recommend using detection software. However, if you choose to use these tools, you should inform students in advance. Detection results should never be the sole evidence of academic dishonesty.
Unauthorized use of generative AI for such will be treated as plagiarism and a violation of Duke’s Community Standard.
using, consulting, and/or maintaining unauthorized shared resources including, but not limited to, test banks, solutions materials and/or unauthorized use of artificial intelligence (AI) software (spelling and grammar checkers are permissible unless stated otherwise by course instructor);
Informing Attendees: As a best practice, hosts should notify attendees at the beginning of a meeting if they plan to use an AI assistant, similar to how participants are informed when a meeting is being recorded.
It is crucial to review and edit AI-generated meeting summaries and recordings for accuracy, particularly when handling sensitive information.
We suggest that faculty clarify their expectations regarding the use of AI at the outset of their course. Instructors have discretion in setting specific AI policies to fit their course and individual assignments. There is no one-size-fits-all policy.
DukeGPT provides the Duke community with a secure, university-managed platform to explore and compare advanced AI models. Combining on-prem open-source options with cloud-based foundation models, it ensures maximum privacy and robust data protection, offering tailored resources and tools for learning, research, and productivity. Not to be used with PHI.
use ChatGPT for general, public tasks, and DukeGPT for anything tied to Duke or requiring extra privacy. Note neither tool is approved for sensitive data (e.g., PHI).
Sensitive (High)Sensitive data is the most restrictive data classification category and is reserved for data that Duke is either required by law to protect, or which Duke protects to mitigate institutional risk.
• Research data
Reflecting Duke University’s leadership in AI development, implementation, and research, the Provost has launched a collaborative strategic AI initiative designed to bring together Duke experts across all disciplines who are advancing AI research and applications, addressing the most pressing ethical challenges posed by AI, and shaping the future of AI in the classroom and our lives.
With the leadership of an interdisciplinary network of faculty and academic leaders, the growing initiative is developing community, infrastructure, and strategic direction for work with and on AI at Duke.
The AI at Duke steering committee is an interdisciplinary group of Duke faculty and experts working to identify Duke’s priorities around AI and develop critical infrastructure and communities of practice to drive Duke forward as a leader in the evolving field of artificial intelligence. Alongside pillar advisory and working groups, the steering committee will develop recommendations to guide and shape how AI at Duke’s four pillars are developed and applied across the university.
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.
Duke University has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
Duke’s teaching guidance includes sample syllabus language indicating that contributions from AI sources must be properly quoted and cited every time they are used, and encourages instructors to update syllabi with clear guidance on AI use. Separately, Duke’s Community Standard academic dishonesty policy states spelling and grammar checkers are permissible unless the course instructor states otherwise.
Duke’s teaching guidance states it does not recommend using AI detection software; if instructors choose to use it, they should inform students in advance, and detection results should never be the sole evidence of academic dishonesty. The Classical Studies department states unauthorized generative AI use will be treated as plagiarism and a violation of Duke’s Community Standard, and Duke’s Community Standard lists unauthorized AI use as a form of cheating.
Duke provides institutionally supported AI platforms and differentiates between general-purpose and Duke-managed tools; DukeGPT is described as a secure, university-managed platform with maximum privacy and robust data protection, and it is explicitly not to be used with PHI. Duke’s AI suite guidance also notes that neither ChatGPT nor DukeGPT is approved for sensitive data (e.g., PHI). Duke’s Data Classification Standard defines “Sensitive (High)” data as the most restrictive category and includes “Research data” as an example.
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