Creighton University has defined AI policies across 10 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, 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. 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.
Submitting work generated by an artificial intelligence software program as one’s own work and/or without citation is also an example of cheating.
Using AI in the Classroom:
Be aware of the specific guidelines and expectations set by your instructors. Instructors may have different policies regarding the use of AI in their courses.
Students are responsible for understanding and adhering to these guidelines.
We ask that faculty share their expectations around AI usage in their syllabi and communicate them clearly with students.
Using unauthorized materials or inappropriate collaboration on examinations, papers or other assignments is considered cheating.
Use of notes, books, the internet, or any unauthorized source in examinations or quizzes is considered cheating.
AI can be a powerful tool to help with brainstorming, exploring topics, creating examples and getting feedback. But it should not replace your own thinking and understanding.
Fact-Check Everything: AI can make mistakes and present false or misleading information as facts. Always verify any information provided by AI with credible sources.
Using AI in the Classroom:
Be aware of the specific guidelines and expectations set by your instructors. Instructors may have different policies regarding the use of AI in their courses.
Students are responsible for understanding and adhering to these guidelines.
not defined
Research misconduct means fabrication, falsification, plagiarism in proposing, performing, reviewing, or reporting research and does not include honest error or differences of opinion.
Research misconduct means fabrication, falsification, plagiarism in proposing, performing, reviewing, or reporting research, or other practices that seriously deviate from those that are commonly accepted within the scientific and scholarly communities for proposing, performing, or reporting research.
Submitting work generated by an artificial intelligence software program as one’s own work and/or without citation is also an example of cheating.
Citation and Disclosure:
If your instructor or assignment requires it, make sure to cite your use of AI appropriately. Transparency in using these tools is important.
Submitting work generated by an artificial intelligence software program as one’s own work and/or without citation is also an example of cheating.
Sanctions for Academic Misconduct. The range of possible sanctions include, but are not limited to, warning; required completion of an educational seminar or counseling related to the misconduct; grade adjustment up to and including failing the assignment; notation in the student conduct file; probation; suspension; dismissal; withholding degree; and/or revocation of degree.
At the same time, AI detection software should never be used as the sole basis for academic misconduct allegations due to its inaccuracy and risk of false positives.
At Creighton, our response is guided by cura personalis and a commitment to helping students engage with AI thoughtfully and ethically.
We ask that faculty share their expectations around AI usage in their syllabi and communicate them clearly with students.
At the same time, AI detection software should never be used as the sole basis for academic misconduct allegations due to its inaccuracy and risk of false positives.
Protect Sensitive Information: Never input personal, confidential or proprietary information into an AI tool. Your prompts and the AI's responses might be stored and used for training or other purposes.
When selecting an AI tool, consider the privacy implications, accuracy and copyright implications. Look to use resources available from institutions or organizations if possible.
At Creighton, our response is guided by cura personalis and a commitment to helping students engage with AI thoughtfully and ethically.
Recognizing the need for ongoing dialogue and support, all faculty have been enrolled in a self-paced AI resource course on BlueLine. We hope this helps us continue to navigate these complexities together and with care.
The AI & Emerging Technologies webpage brings together info on all the cool new technology at Creighton University's Libraries. Here you can find research and instruction resources related to AI, XR (VR/AR), and various multimedia projects.
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.
Creighton University has defined AI policies in 10 of 12 categories, with an overall coverage score of 83%.
Creighton requires attribution when AI-generated material is used in student work. The undergraduate academic honesty policy explicitly states that submitting AI-generated work as one's own work or without citation is cheating, and the library guidance tells students to be transparent and cite AI when required by the instructor or assignment.
Creighton enforces unauthorized AI use through its standard academic misconduct process. Uncited AI work is defined as cheating, with sanctions ranging from warnings to dismissal. The provost's guidance also explicitly cautions faculty against using AI detection software as the sole basis for misconduct allegations because of its inaccuracy and risk of false positives.
Creighton warns users not to enter confidential, personal, or sensitive information into AI systems because prompts may be stored or used for training. The library guidance also recommends using institutionally provided AI resources where available and being cautious about privacy and copyright when selecting tools.
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