Avila University has defined AI policies across 3 of 12 policy categories, covering Academic Integrity, 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.
d. Plagiarism: Presenting another’s material as one’s own, including using another’s words, results, processes or ideas, in whole or in part, without giving appropriate credit. Plagiarism is contingent on the content of the submitted work product, regardless of whether the unattributed material was included intentionally or unintentionally. The use of material taken from any source—whether directly quoted, paraphrased, or otherwise adapted—must be attributed to that source. Plagiarism also includes the submission of material generated by others. This may include artificial intelligence (AI) content generators and generative AI tools such as ChatGPT; websites with a question-and-answer feature such as Course Hero, Chegg, and Bing; assistance from tutors or online language translators that results in unoriginal work; and work that is purchased or otherwise prepared by another individual.
e. Unauthorized Collaboration: Working with others in the submission of an assignment, exercise, or other academic requirement for assessment when not expressly permitted by the instructor.
If authorized, appropriate disclosure and citation is required.
The use of material taken from any source—whether directly quoted, paraphrased, or otherwise adapted—must be attributed to that source. Plagiarism also includes the submission of material generated by others. This may include artificial intelligence (AI) content generators and generative AI tools such as ChatGPT; websites with a question-and-answer feature such as Course Hero, Chegg, and Bing; assistance from tutors or online language translators that results in unoriginal work; and work that is purchased or otherwise prepared by another individual.
The Community Standards and Expectations (the “CSE”) outlined in this policy articulate prohibited behaviors and academic integrity violations because they do not align with the values central to Avila University:
d. Plagiarism: Presenting another’s material as one’s own, including using another’s words, results, processes or ideas, in whole or in part, without giving appropriate credit. Plagiarism is contingent on the content of the submitted work product, regardless of whether the unattributed material was included intentionally or unintentionally. The use of material taken from any source—whether directly quoted, paraphrased, or otherwise adapted—must be attributed to that source. Plagiarism also includes the submission of material generated by others. This may include artificial intelligence (AI) content generators and generative AI tools such as ChatGPT; websites with a question-and-answer feature such as Course Hero, Chegg, and Bing; assistance from tutors or online language translators that results in unoriginal work; and work that is purchased or otherwise prepared by another individual.
The University uses the “preponderance of the evidence” standard to determine if a reported behavior is in violation of the CSE.
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.
Avila University has defined AI policies in 3 of 12 categories, with an overall coverage score of 25%.
Students must attribute material taken from any source, including AI-generated content, when it is used in submitted work. The policy also requires disclosure and citation when the same work is reused with instructor authorization.
Undisclosed AI-generated submission is treated as plagiarism and therefore falls under the university's academic integrity violation process. The policy defines a conduct process using a preponderance-of-the-evidence standard, but it does not define any AI detection tools or platform-specific detection practices.
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