University of the Pacific has defined AI policies across 11 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, 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.
This document is designed to guide faculty in deciding on and communicating their course-level policies on artificial intelligence (AI). ... Unauthorized use of AI tools would be a violation of Pacific’s Academic Honesty Policy, which prohibits: '[C]heating is the use of unauthorized information, study aids, or the work of others in an academic exercise.'
Unauthorized use of AI tools would be a violation of Pacific’s Academic Honesty Policy, which prohibits: '[C]heating is the use of unauthorized information, study aids, or the work of others in an academic exercise. This includes, but is not limited to, the use of materials in an examination or other academic exercise that have not been authorized by the instructor.'
This three-part video series, developed by University of the Pacific Library & Learning Center, offers students a comprehensive introduction to generative AI technology. From understanding the basics to exploring practical applications and ethical considerations, these workshops provide the essential knowledge needed to use AI tools responsibly in your academic journey at Pacific.
Each concise session is designed to build your AI literacy and confidence while ensuring responsible engagement with these emerging technologies.
This document is designed to guide faculty in deciding on and communicating their course-level policies on artificial intelligence (AI). ... Examples of Cheating (from the Tiger Lore): ... Unauthorized use of information, notes or study aids in any academic exercise or examination.
For authors: If Artificial Intelligence (AI) has been used in the development of any portion of a manuscript, its use must be transparently and thoroughly documented in the Methods section, a disclosure statement, or the Acknowledgements section, as appropriate. However, AI tools used strictly for spelling, grammar, or general editing purposes do not require disclosure.
The use of Generative Artificial Intelligence (GenAI) tools, including ChatGPT, Google Bard, Microsoft Copilot, Claude, Gemini, Mistral, and similar large language model-based platforms, must be carefully managed to protect confidentiality, privacy, and copyright integrity.
For peer reviewers: Under no circumstances should any part of a manuscript (including text, figures, or tables) be uploaded to GenAI tools. If AI-assisted tools are used to refine a peer review report, this must be explicitly disclosed.
Sample Syllabus Statement: In our course, you are welcome to use generative AI tools on all your assignments. You must cite any generative AI tool you use. ... Nursing Handbook: The use of Generative AI tools (ChatGPT, etc…) is an example of cheating if not appropriately cited as the original author. If used, it must be declared and cited appropriately for all academic work submitted.
Unauthorized use of AI tools would be a violation of Pacific’s Academic Honesty Policy... Cheating... Possible Sanctions (from the Tiger Lore): Depending upon the nature of the case, the student may be assigned a grade of 'F' in the course; 'F' for the work; suspension; dismissal.
This document is designed to guide faculty in deciding on and communicating their course-level policies on artificial intelligence (AI). ... Be aware of the data privacy and security of AI tools. Unless a tool has been vetted and approved by Pacific, do not input any confidential, proprietary, or private information into it, including student information and unpublished research data.
Be aware of the data privacy and security of AI tools. Unless a tool has been vetted and approved by Pacific, do not input any confidential, proprietary, or private information into it, including student information and unpublished research data.
This document is designed to guide faculty in deciding on and communicating their course-level policies on artificial intelligence (AI). ... This three-part video series... offers students a comprehensive introduction to generative AI technology... Be aware of the data privacy and security of AI tools. Unless a tool has been vetted and approved by Pacific, do not input any confidential, proprietary, or private information into it...
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 the Pacific has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
The university has multiple disclosure requirements for AI use. Faculty are provided with sample syllabus language that requires students to cite any AI tool used. The School of Nursing student handbooks state that AI use must be declared and cited appropriately. Additionally, a specific journal policy requires authors to document AI use in their manuscripts.
Enforcement of AI misuse falls under the university's existing Academic Honesty Policy. The faculty guidance document explicitly states that unauthorized use of AI tools is a violation of this policy, which can result in penalties up to and including a grade of 'F' in the course, suspension, or dismissal.
The university has issued a data protection directive for faculty regarding AI. Faculty are warned not to input any confidential, proprietary, private, student, or unpublished research data into AI tools unless the tool has been officially vetted and approved by the university.
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