Case Western Reserve University has defined AI policies across 9 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, 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. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
All forms of academic dishonesty including cheating, plagiarism, misrepresentation, obstruction, use of generative artificial intelligence (AI) without instructor permission, and submitting without permission work to one course that was completed for another course are violations of academic integrity standards.
Cheating includes but is not limited to copying from another's work; falsifying problem solutions or laboratory reports; using unauthorized sources, notes, computer programs including generative artificial intelligence; or otherwise failing to follow the instructions or procedures in place for a particular assessment.
Plagiarism includes but is not limited to the presentation, without proper attribution, of another's words or ideas from printed or electronic sources including generative artificial intelligence.
Misrepresentation includes but is not limited to forgery of official academic documents, the presentation of altered or falsified documents or testimony to a university office or official, unauthorized use of generative artificial intelligence, taking an exam for another student, or lying about personal circumstances to postpone tests or assignments.
While use of generative AI tools in any manner to complete curricular exercises may make them seem easier, it will also negatively impact the learning value of these exercises and may harm the student’s academic progress. Therefore, all content that is submitted or presented by a student must be their own work and not the product of generative AI or other individuals.
The Department of Population and Quantitative Health Sciences requires that students seek permission from their course instructors prior to using AI tools in completing coursework and exams. Unauthorized use of AI tools puts your academic integrity at risk.
For purposes of rules addressing plagiarism in work submitted in any course, the Law School considers text generated by GAI as if it had been written by a person other than the student.
All forms of academic dishonesty including cheating, plagiarism, misrepresentation, obstruction, use of generative artificial intelligence (AI) without instructor permission, and submitting without permission work to one course that was completed for another course are violations of academic integrity standards.
Cheating includes but is not limited to copying from another's work; falsifying problem solutions or laboratory reports; using unauthorized sources, notes, computer programs including generative artificial intelligence; or otherwise failing to follow the instructions or procedures in place for a particular assessment.
During an exam, quiz, or other similar graded assignment, students shall not submit a prompt to GAI or use information obtained from another person's prompt to GAI that was submitted during an examination.
Students are allowed, however, to rely on information or material generated by GAI before the start of their exam.
The Department of Population and Quantitative Health Sciences requires that students seek permission from their course instructors prior to using AI tools in completing coursework and exams.
Content Responsibility – Remember that AI-generated content can sometimes be inaccurate, misleading or entirely incorrect. Always review the material carefully, using AI as a tool while relying on human judgment for final decisions.
Generative Artificial Intelligence (GenAI) systems, like ChatGPT and a bevy of GenAI applications, continue to change the ways college faculty and students engage with assistive teaching and learning technology.
UCITE suggests that first, faculty can and should take time to reflect how, when, and where we improve student learning through the use of assistive GenAI tools.
This process will most likely differ from one faculty member to another and from one department or program to the next, and that’s okay.
Cheating includes but is not limited to copying from another's work; falsifying problem solutions or laboratory reports; using unauthorized sources, notes, computer programs including generative artificial intelligence; or otherwise failing to follow the instructions or procedures in place for a particular assessment.
CWRU AI is an internal, secure, general purpose AI portal for the CWRU community. When you log into CWRU AI, you are able to select the large language model you want to use to power the agent. Models by some of the best AI services are available, including OpenAI (ChatGPT), Meta (Llama), Mistral Large, Codestral by Mistral AI, and Microsoft (Phi).
Plagiarism includes but is not limited to the presentation, without proper attribution, of another's words or ideas from printed or electronic sources including generative artificial intelligence.
If you are permitted to use an AI tool like ChatGPT, you must cite this use. For advice about how to do this in MLA or APA style, please consult the links below. Please be aware that these style guides are updating their advice for this rapidly changing technology. ... Your instructor may have advice about how you should cite AI tools; if so, you should follow your instructor's specific guidelines.
All forms of academic dishonesty including cheating, plagiarism, misrepresentation, obstruction, use of generative artificial intelligence (AI) without instructor permission, and submitting without permission work to one course that was completed for another course are violations of academic integrity standards.
The Department of Population and Quantitative Health Sciences requires that students seek permission from their course instructors prior to using AI tools in completing coursework and exams.
All forms of academic dishonesty including cheating, plagiarism, misrepresentation, obstruction, use of generative artificial intelligence (AI) without instructor permission, and submitting without permission work to one course that was completed for another course are violations of academic integrity standards.
Cheating includes but is not limited to copying from another's work; falsifying problem solutions or laboratory reports; using unauthorized sources, notes, computer programs including generative artificial intelligence; or otherwise failing to follow the instructions or procedures in place for a particular assessment.
Plagiarism includes but is not limited to the presentation, without proper attribution, of another's words or ideas from printed or electronic sources including generative artificial intelligence.
Misrepresentation includes but is not limited to forgery of official academic documents, the presentation of altered or falsified documents or testimony to a university office or official, unauthorized use of generative artificial intelligence, taking an exam for another student, or lying about personal circumstances to postpone tests or assignments.
AI Detection Services: Use with Caution
Classroom Integration: The Office of the Provost offers guidance on integrating AI into classroom settings, including best practices and strategies for leveraging AI in teaching and learning.
At the same time, the university respects faculty's academic freedom to manage their classes. This list of sample texts serves as a starting point for syllabi as faculty finalize their fall courses and consider how AI tools might be used.
Content Responsibility – Remember that AI-generated content can sometimes be inaccurate, misleading or entirely incorrect. Always review the material carefully, using AI as a tool while relying on human judgment for final decisions.
Data Privacy – Avoid entering confidential information into publicly accessible generative AI tools.
CWRU AI is an internal, secure, general purpose AI portal for the CWRU community.
Regardless of the agent you pick, data entered into the portal are not shared outside the university and are never used to train the underlying models.
Consumer AI services, especially free ones, often collect the data you enter into them and use that data in their training models. This can lead to your data being made available via these AI services. Never put sensitive university information into an AI service if the university does not have a contract with the AI vendor with proper privacy and security safeguards. The university offers AI services that will protect your data. Use those services when sensitive information is involved.
In the Office of the Provost, we are dedicated to shaping the future of education and research. Through transformative partnerships—with Google and Microsoft—and innovative ideas, we are exploring new ways to integrate artificial intelligence into our curriculum, research, and administrative functions, empowering our community to thrive in an AI-driven world.
The AI in Education initiative hub is your go-to resource for tools, information, and support to engage with AI in meaningful ways.
Here, you will find a letter from Provost Joy K. Ward outlining the vision behind this initiative, learn about the AI Task Force driving these efforts, and discover educational pathways—courses, programs, and more—designed to empower students, postdocs, faculty, staff, and lifelong learners.
While utilizing AI tools in academic settings, CWRU remains committed to upholding our Academic Integrity Policy. It is the shared responsibility of students, faculty, and administrators to uphold and maintain these standards.
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.
Case Western Reserve University has defined AI policies in 9 of 12 categories, with an overall coverage score of 75%.
CWRU’s undergraduate academic integrity policy explicitly treats presenting another’s words or ideas from generative AI without proper attribution as plagiarism. While there is no single university-wide required disclosure format, the University Writing Program provides guidance on how to cite AI tools in styles like MLA and APA when an instructor has permitted their use, and notes that instructors may have specific guidelines students should follow. Instructor-permission requirements for AI use are also defined in multiple contexts.
CWRU defines unauthorized use of generative AI as academic dishonesty under undergraduate academic integrity standards, including as cheating, plagiarism, and misrepresentation; this frames enforcement through academic integrity processes. UCITE materials also reference “AI Detection Services: Use with Caution,” but the provided sources do not include specific detection tool rules or procedures beyond that cautionary framing.
CWRU guidance cautions users to avoid entering confidential information into publicly accessible generative AI tools. CWRU also provides an internal AI portal (CWRU AI) described as secure; it states that data entered into the portal are not shared outside the university and are never used to train the underlying models. UCITE materials also warn that consumer AI services may collect user-entered data and advise never putting sensitive university information into an AI service unless the university has a contract with proper privacy and security safeguards, and to use university-offered AI services when sensitive information is involved.
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