Des Moines University has defined AI policies across 8 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.
Academic dishonesty includes, but is not limited to, plagiarism, fabrication, deception, cheating and sabotage.
Plagiarism is any attempt to represent the words or ideas of another as one’s own in any academic exercise.
As examples, students are expected to not use another person or generated AI to do all or part of another student’s work and should not submit written assignments as one’s own work where generated from another source, including but not limited to generated AI.
Examples include but are not limited to another person generated AI, another student, laboratory generated by another student, and copied work from any source, whether copyrighted or not.
Paraphrasing content from another source, including but not limited to generated AI, in an attempt to evade plagiarism software is considered plagiarism and a violation of this Code.
3.4.9 Copying, using, or submitting, in whole or in part, the work of another, whether copyrighted or not, in an academic exercise, or using generated AI and claiming the work is one’s own, are examples of plagiarism.
Cheating is intentionally using or attempting to use unauthorized materials, information, or study aids in any academic exercise.
Examples include but are not limited to obtaining, providing, or using answers or information in a manner not authorized by the instructor or institution during an exam or examination of any type, quiz, assignment, project, educational exercise, or other work submitted for evaluation and uses generated AI in any form to claim one’s own work.
The use of generative AI for the purpose of creating educational/scientific content, the use of AI technologies in collecting or analyzing data, and the submission of any CME/CPD accredited activity or educational material generated or revised with the assistance of AI are prohibited.
Additionally, AI systems cannot be listed as an author or co-author on scientific abstracts, papers, or educational material. All content submitted for accreditation must be solely created by humans.
The use of generative AI for the purpose of creating educational/scientific content, the use of AI technologies in collecting or analyzing data, and the submission of any CME/CPD accredited activity or educational material generated or revised with the assistance of AI are prohibited.
The use of generative AI for the purpose of creating educational/scientific content, the use of AI technologies in collecting or analyzing data, and the submission of any CME/CPD accredited activity or educational material generated or revised with the assistance of AI are prohibited.
Additionally, AI systems cannot be listed as an author or co-author on scientific abstracts, papers, or educational material. All content submitted for accreditation must be solely created by humans.
3.4.9 Copying, using, or submitting, in whole or in part, the work of another, whether copyrighted or not, in an academic exercise, or using generated AI and claiming the work is one’s own, are examples of plagiarism.
Additionally, AI systems cannot be listed as an author or co-author on scientific abstracts, papers, or educational material.
3.4.9 Copying, using, or submitting, in whole or in part, the work of another, whether copyrighted or not, in an academic exercise, or using generated AI and claiming the work is one’s own, are examples of plagiarism.
Paraphrasing content from another source, including but not limited to generated AI, in an attempt to evade plagiarism software is considered plagiarism and a violation of this Code.
An alleged violation of the Academic Honor Code by a student may be adjudicated by the Academic Honor Council and/or by the faculty member involved and/or by the dean of the college involved. Consequences for such misconduct may range from receiving a reprimand... to failing the course or facing suspension or expulsion from the university.
The use of generative AI for the purpose of creating educational/scientific content, the use of AI technologies in collecting or analyzing data, and the submission of any CME/CPD accredited activity or educational material generated or revised with the assistance of AI are prohibited.
All content submitted for accreditation must be solely created by humans.
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.
Des Moines University has defined AI policies in 8 of 12 categories, with an overall coverage score of 67%.
The provided sources do not set out a disclosure or citation method for permitted AI use. Instead, they state that AI systems cannot be credited as authors on CME scientific abstracts, papers, or educational material, and that claiming AI-generated work as one's own is plagiarism.
AI-related misconduct is enforced through the university's academic integrity process, with penalties including course failure, suspension, or expulsion. The policy explicitly prohibits using AI to paraphrase content in an attempt to evade plagiarism detection software.
No explicit data protection or approved AI platform policy is currently defined in the available policy sources.
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