Alvernia University has defined AI policies across 8 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, 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. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
• use of ChatGPT or other generative Artificial Intelligence (AI) without explicit permission from the instructor.
Unauthorized use of Artificial Intelligence (AI), or failure to disclose when or how AI has been used when authorization is given, is a violation of the Honor Code. Students may only use AI generative writing, artistic, or translating tools (such as but not limited to ChatGPT or Bard) when and as specified by the instructor. If and when such AI use is permitted, students must follow all guidelines established by the professor regarding acknowledging or referencing such use. Under the Honor Code, students must give proper credit whenever such AI is used.
Everything submitted to an instructor for a grade / credit / assessment is subject to the Honor Code Policy. It is the student’s responsibility to clarify whether (s)he can receive help / collaborate and the kind of help / collaboration allowed.
Use of AI to answer questions on exams is prohibited unless the question specifies that you are to use it. If unauthorized use of AI is suspected, the professor may implement reasonable supplemental or replacement measures to evaluate student knowledge or understanding of the topic, and the professor can use the results of such measures to re-evaluate the grade and to support reporting the student for an Honor Code violation.
Everything submitted to an instructor for a grade / credit / assessment is subject to the Honor Code Policy.
Everything submitted to an instructor for a grade / credit / assessment is subject to the Honor Code Policy. It is the student’s responsibility to clarify whether (s)he can receive help / collaborate and the kind of help / collaboration allowed.
Unauthorized use of Artificial Intelligence (AI), or failure to disclose when or how AI has been used when authorization is given, is a violation of the Honor Code.
If and when such AI use is permitted, students must follow all guidelines established by the professor regarding acknowledging or referencing such use. Under the Honor Code, students must give proper credit whenever such AI is used.
Unauthorized use of Artificial Intelligence (AI), or failure to disclose when or how AI has been used when authorization is given, is a violation of the Honor Code.
If unauthorized use of AI is suspected, the professor may implement reasonable supplemental or replacement measures to evaluate student knowledge or understanding of the topic, and the professor can use the results of such measures to re-evaluate the grade and to support reporting the student for an Honor Code violation.
Violations of the Honor Code will not be tolerated, and such breaches of academic trust will be met with appropriate sanctions. Professors have the ability to sanction students accused of breaching the Honor Code and have the responsibility of adding the names of such students to a university list of Honor Code violations. Sanctions for violators will be determined by the professor alone except in egregious cases, when the university may also take action.
Violation of Academic Honesty may include a range of sanctions, up to and including dismissal from Alvernia University.
At this time, all third-party AI note-takers (such as Reader.AI or Otter.AI) and any other third-party proxy are prohibited in (i) all Alvernia-owned Zoom sessions, Microsoft Teams meetings, and other teleconferencing and meeting spaces and (ii) all Alvernia controlled in-person meetings.
In the event an external provider uses an AI note-taker in a virtual meeting or an in-person meeting, , the Alvernia meeting organizer or attendee is, at all times, responsible for obtaining consent and following legal obligations, understanding and adhering to legal requirements about consent, data retention, and disclosure when using AI notetaker/recording tools.
• It is the host's responsibility to remove any unapproved guest note-taking tools from the meeting and to notify the group that unauthorized note-takers will be removed ensuring that participants feel secure in that meeting data is handled appropriately.
• In the event an external provider uses AI notetaking, participants must be aware that AI notes may contain errors and should be reviewed for accuracy before widespread distribution.
o Verification is crucial, particularly for high-stakes decisions.
o Notes must be reviewed by the host, verified by participants, and formally approved by the represented group.
ITAC Maintains and enforces this policy. Work with university senior leadership to establish and maintain a list of acceptable AI Notetakers.
Alvernia cannot control what data these tools collect and how that data is used. At this time, all third-party AI note-takers (such as Reader.AI or Otter.AI) and any other third-party proxy are prohibited in (i) all Alvernia-owned Zoom sessions, Microsoft Teams meetings, and other teleconferencing and meeting spaces and (ii) all Alvernia controlled in-person meetings. Alvernia cannot control what data these tools collect and how that data is used.
• Sensitive data must be handled securely. Review university data protection policies regarding storage, access, and retention periods: Information Technology Policies | Alvernia University
• In the event an external provider uses AI notetaking, the AI notetaking must be turned off for:
o sensitive meetings like performance evaluations, disciplinary matters, or discussions with students.
o breaks or when discussing confidential information. Ensure sensitive information is not recorded inadvertently.
Reten tion and storage of AI notes:
• In the event an external provider uses AI notetaking:
o Retention periods should align with the nature of the meeting and any university record-keeping policies and follow university data protection protocols.
o Meeting notes should be moved to an identified storage location to ensure University retention policies are met.
ITAC Maintains and enforces this policy. Work with university senior leadership to establish and maintain a list of acceptable AI Notetakers. Receives exceptions to the policy.
Senior Leadership Team Serves as final approval for policy and assists with reviewing exceptions to the policy.
This policy addresses the use of AI notetakers and recording tools in university meetings, both virtual and face-to-face.
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.
Alvernia University has defined AI policies in 8 of 12 categories, with an overall coverage score of 67%.
Disclosure of AI use is required when an instructor has authorized it, and students must follow the professor’s directions for acknowledging or referencing that use. The policy also requires students to give proper credit whenever AI is used.
Unauthorized or undisclosed AI use is treated as an Honor Code violation. Faculty may use supplemental or replacement evaluations when they suspect unauthorized AI use, may re-evaluate grades based on those measures, and may report students for Honor Code violations; sanctions range from assignment penalties up to university dismissal, with escalating procedures for repeat offenses.
Alvernia bars third-party AI note-takers in university-controlled meetings because it cannot control what data they collect or how they use it. The policy assigns ITAC responsibility to maintain a list of acceptable AI note-takers and requires sensitive data to be handled securely, with AI notetaking turned off for sensitive meetings, confidential discussions, and student-related discussions; retention and storage must follow university data protection and record-keeping rules.
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