Averett University AI Policy

VirginiaPrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeTeaching & Learning
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Policy Coverage
67%8 of 12
Permitted
Coursework
This university allows students to use AI tools in coursework, subject to course-level guidelines set by instructors.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Tools Active
Detection
The university employs AI detection software (such as Turnitin or similar tools) to identify AI-generated content in submissions.
Committee Active
Governance
The university has established a dedicated committee, task force, or working group to oversee AI governance.
POLICY OVERVIEW

AI Policy Summary

Averett University has defined AI policies across 8 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Teaching & Learning. AI tools are generally permitted in coursework, subject to instructor guidelines. 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.

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Teaching & Learning

U1Coursework & Assignments
AI Permitted
  • If AI use is not specifically allowed in the syllabus, student use is treated as cheating
  • The university says faculty may choose whether students can use AI in their courses, and this choice should be stated in each course syllabus

The new language gives discretion to faculty on whether AI use in a course is permissible but requires faculty to include this information in their syllabus.

The new language states that if AI is not specifically permitted by a syllabus, student use of AI is considered cheating.

U2Examinations & Assessments
AI Prohibited in Exams
  • The same course-level rule applies to assessed work generally: faculty decide whether AI is allowed and must state that in the syllabus
  • If a syllabus does not specifically permit AI, student use is considered cheating; the sources do not provide a separate university-wide exam-specific rule

The new language gives discretion to faculty on whether AI use in a course is permissible but requires faculty to include this information in their syllabus.

The new language states that if AI is not specifically permitted by a syllabus, student use of AI is considered cheating.

U3Learning & Study Assistance
Guidelines Issued
  • The university does not set a separate rule for personal study or tutoring uses of AI
  • Instead, AI use in a course is left to faculty discretion and must be addressed in the syllabus; if not specifically permitted there, student use is considered cheating

The new language gives discretion to faculty on whether AI use in a course is permissible but requires faculty to include this information in their syllabus.

The new language states that if AI is not specifically permitted by a syllabus, student use of AI is considered cheating.

U4Code Generation & Programming
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No policy defined yet
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Research

U5Research Writing & Manuscript Preparation
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No policy defined yet
U6Research Data & Analysis
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No policy defined yet
U7Research Ethics & Integrity
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No policy defined yet
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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • Faculty are required to disclose their course-level AI rules in the syllabus
  • The sources do not state a separate requirement for students to cite or attribute AI use beyond the syllabus-based permission rule

The new language gives discretion to faculty on whether AI use in a course is permissible but requires faculty to include this information in their syllabus.

U9Detection & Enforcement
Detection Tools Used
  • The sources do not mention AI detection tools
  • Undisclosed or unauthorized student AI use is enforced through the cheating policy: if a syllabus does not specifically permit AI, using it is considered cheating

The new language states that if AI is not specifically permitted by a syllabus, student use of AI is considered cheating.

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Institutional & Administrative

U10Faculty & Staff Use
Faculty Policy Defined
  • The university is piloting Microsoft Copilot for staff and faculty use
  • Employees are instructed to avoid entering personal, confidential, or sensitive information into public AI tools, and are advised that a vetted institutional private version will be provided

As artificial intelligence platforms become more prevalent, employees are reminded not to enter personal or sensitive information into public AI tools. Instead, the University will provide access to a private version after thoroughly vetting the safety of the platform.

Microsoft Copilot is currently under pilot review by the Technology Steering Committee and is expected to be available to staff and faculty in the near future... Like any AI model, staff and faculty should avoid entering personal, confidential, or otherwise sensitive information into the prompts.

U11Institutional Data Protection & Approved AI Platforms
Data Protection Active
  • The university warns employees not to put personal or sensitive information into public AI tools and says a vetted institutional option will be provided
  • A Microsoft Copilot pilot is described as using commercial data protection and not storing prompts or responses for training, and employees are told not to enter confidential information

As artificial intelligence platforms become more prevalent, employees are reminded not to enter personal or sensitive information into public AI tools. Instead, the University will provide access to a private version after thoroughly vetting the safety of the platform. More details on this will be shared in the coming months.

Microsoft Copilot is currently under pilot review by the Technology Steering Committee and is expected to be available to staff and faculty in the near future. Microsoft Copilot uses commercial data protection for prompts and responses that allows for no prompts or responses to be stored or used to train the model. Like any AI model, staff and faculty should avoid entering personal, confidential, or otherwise sensitive information into the prompts. More updates will be forthcoming through Averett Tech, and through TSC representatives.

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • Averett indicates an emerging governance and rollout process for AI rather than a comprehensive strategy document in these sources
  • The Technology Steering Committee is reviewing Microsoft Copilot, and the university says it will provide a private AI version after vetting platform safety, with additional details and updates to follow

As artificial intelligence platforms become more prevalent, employees are reminded not to enter personal or sensitive information into public AI tools. Instead, the University will provide access to a private version after thoroughly vetting the safety of the platform. More details on this will be shared in the coming months.

Microsoft Copilot is currently under pilot review by the Technology Steering Committee and is expected to be available to staff and faculty in the near future.

More updates will be forthcoming through Averett Tech, and through TSC representatives.

DocuMark: Responsible AI Use for Academic Integrity

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.

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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