Villanova University AI Policy

PennsylvaniaPrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
100%12 of 12
Prohibited
Coursework
This university prohibits AI tool usage for coursework and assignments unless explicitly authorized by the instructor.
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

Villanova University has defined AI policies across 12 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, data analysis, 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.

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Teaching & Learning

U1Coursework & Assignments
AI ProhibitedAttribution Required
  • Use of AI for coursework and assignments is at instructor discretion
  • Faculty may prohibit AI use in a course or assignment, and students must follow course-specific rules; using AI-generated work without sanction and documentation is treated as academic dishonesty

It will continue to be up to the individual faculty member to allow or prohibit its use in their courses.

Permissions: The use of A.I.-generated material for a course or assignment/activity can be prohibited by the faculty member. Failure to follow this prohibition is a violation of the academic integrity code.

Because many kinds of learning happen in the course of a Villanova education, faculty may set specific rules about what is and is not allowed in a particular course and on a given assignment. Students must follow faculty-issued instructions for courses and assignments and may be penalized or found in violation of the Code of Academic Integrity if they do not.

Academic dishonesty takes place whenever anyone undermines the academic integrity of the institution; represents as their work that they have not done themselves, including work generated through unsanctioned and/or undocumented artificial intelligence (A.I.) assistance; or attempts to gain an unfair advantage over others.

U2Examinations & Assessments
Instructor Discretion
  • The university does not set a separate institution-wide AI rule specifically for exams and assessments
  • Instead, faculty may set assignment- and course-level rules, and students must follow those instructions

Because many kinds of learning happen in the course of a Villanova education, faculty may set specific rules about what is and is not allowed in a particular course and on a given assignment. Students must follow faculty-issued instructions for courses and assignments and may be penalized or found in violation of the Code of Academic Integrity if they do not.

Permissions: The use of A.I.-generated material for a course or assignment/activity can be prohibited by the faculty member. Failure to follow this prohibition is a violation of the academic integrity code.

U3Learning & Study Assistance
AI Encouraged for Study
  • Villanova encourages responsible and ethical student learning with AI and provides literacy resources, but warns that inappropriate use can harm learning
  • Students are told to follow faculty guidance, and departments and programs are encouraged to teach students how to use these tools ethically and properly

Students will find information on AI literacy expectations, recommended tools, skill-building resources, and practical tips for using AI responsibly, confidently, and effectively in their academic work.

Appropriate use: The purpose of your Villanova education is to foster the skills necessary for the generation of new knowledge and solving of complex problems. Some of these higher-order thinking skills include critical thinking, analytical thinking, problem solving, evaluation, metacognition, and synthesis of knowledge. In many educational contexts, the inappropriate use of A.I. can be detrimental to your learning and mastering higher-order skills and therefore should be avoided. In other situations it could be beneficial. Follow the guidance of your faculty.

Departments, academic programs, and colleges are encouraged to develop disciplineappropriate ways to teach students about this technology and how to utilize these tools ethically and properly. You can help students refine their core skills of critical thinking, ethical reasoning, and digital literacy by teaching them to appropriately use generative A.I and analyze the output.

U4Code Generation & Programming
Instructor DiscretionAttribution Required
  • AI use for coding or programming in coursework requires explicit instructor permission and proper attribution
  • The student guidance states that using AI to fulfill coding or programming requirements without both permission and attribution violates the Code of Academic Integrity

The Code specifically prohibits using A.I. text generators to fulfill essential requirements of an assignment—such as reading, synthesizing, interpreting, writing, coding, or programming—without both explicit instructor permission and proper attribution and citation of any A.I.-assisted components.

It will continue to be up to the individual faculty member to allow or prohibit its use in their courses.

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Research

U5Research Writing & Manuscript Preparation
AI Writing Permitted
  • Faculty are directed to institutional guidelines and support resources for AI in research
  • Villanova indicates that guidance for AI use in research is still being developed rather than setting a complete university-wide rule for research writing and manuscript preparation

A.I. in Research

• A survey was sent to faculty concerning A.I. in research and plans are in development to provide requirements as well as guidance around its proper use.

Review Villanova's institutional guidelines on AI in teaching and research

Get one-on-one support for implementing AI tools in your research

U6Research Data & Analysis
AI Analysis Permitted
  • The university also offers AI tools and support for research, but research-specific requirements are described as still under development
  • For research-related AI use, Villanova explicitly prohibits uploading private/confidential information or intellectual property into open free AI systems

A.I. in Research

• A survey was sent to faculty concerning A.I. in research and plans are in development to provide requirements as well as guidance around its proper use. No private/confidential information or intellectual property may be uploaded into open (free) A.I. systems.

Discover University-supported AI platforms for teaching and research

Get one-on-one support for implementing AI tools in your research

U7Research Ethics & Integrity
Ethics Framework Active
  • It also frames the institutional approach around academic integrity and Augustinian values, but does not provide a detailed standalone research-ethics AI policy in the cited materials
  • Villanova states that research-related AI requirements and guidance are being developed, and it notes that outside bodies such as funding agencies and publishers are creating their own rules

A.I. in Research

• A survey was sent to faculty concerning A.I. in research and plans are in development to provide requirements as well as guidance around its proper use.

• Each funding agency, publisher, and others are developing their own rules around generative

Recommendations for maintaining the integrity of our academic programs.

Promoting Augustinian values to foster thoughtful consideration of A.I.'s impact on human minds, society, and the natural world.

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Academic Integrity

U8Disclosure & Attribution Requirements
Citation Required
  • Villanova requires transparency when AI is used in student work where permitted
  • The student guidance says AI-assisted components must have proper attribution and citation, and the academic integrity code treats undocumented AI assistance as dishonest

The Code specifically prohibits using A.I. text generators to fulfill essential requirements of an assignment—such as reading, synthesizing, interpreting, writing, coding, or programming—without both explicit instructor permission and proper attribution and citation of any A.I.-assisted components.

Academic dishonesty takes place whenever anyone undermines the academic integrity of the institution; represents as their work that they have not done themselves, including work generated through unsanctioned and/or undocumented artificial intelligence (A.I.) assistance; or attempts to gain an unfair advantage over others.

U9Detection & Enforcement
Penalties DefinedIntegrity Process
  • Villanova is exploring use of an AI screening tool, while acknowledging limitations
  • Enforcement is tied to the Code of Academic Integrity: students who violate course rules or use unsanctioned or undocumented AI may be penalized, and the student guidance states violations can lead to disciplinary action up to and including expulsion

• The University is exploring a screening tool for A.I.-generated material. While such tools have limitations, they can be an excellent deterrent for academic integrity issues.

Students must follow faculty-issued instructions for courses and assignments and may be penalized or found in violation of the Code of Academic Integrity if they do not.

Students who violate the Code are subject to disciplinary action, up to and including expulsion.

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Institutional & Administrative

U10Faculty & Staff Use
Faculty Policy Defined
  • Faculty use in courses is not uniformly prescribed; instructors are told it remains up to the individual faculty member to allow or prohibit AI use in their courses
  • Villanova provides faculty and staff with supported AI platforms, sample syllabus language, course-design resources, and consultations for teaching, research, and administrative workflows

Faculty can explore guidance for integrating AI into courses, including teaching resources, ethical guidelines, classroom policies, and professional development opportunities.

It will continue to be up to the individual faculty member to allow or prohibit its use in their courses.

Discover University-supported AI platforms for teaching and research

Find strategies for integrating AI into teaching, assignments, and course design

Download sample syllabus statements and AI policy language for your courses

Request consultations to redesign courses with AI integration

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedData Protection ActiveUnapproved AI Blocked
  • Villanova identifies supported AI platforms and attaches data-classification rules to certain tools
  • The university states that no Villanova data may be uploaded into open free AI systems, requires compliance with data governance standards, prohibits uploading private/confidential information or intellectual property into open free AI systems, and lists approved tool environments such as Microsoft Copilot Chat and Microsoft 365 Copilot for specified data classifications

Please note: Information uploaded to an open (free) A.I. system does not remain private and can be shared with others. At this time, no Villanova data is permitted to be uploaded into open (free) A.I. systems and all data governance standards and policies related to safeguarding university data are required to be followed (located within the Data Governance webpage under “Standards and Policies”).

No private/confidential information or intellectual property may be uploaded into open (free) A.I. systems.

Data Classification: Public, Private and Restricted Data. Avoid SSNs and payment card data.

Data Classification: Public, Private, and Restricted Data. Avoid SSNs and payment card data.

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • Villanova has an institution-wide AI strategy centered on thoughtful, ethical use aligned with its Augustinian Catholic mission and values
  • The university has established an AI Task Force, is developing proposed guidelines and a comprehensive report, and states that its governance work covers students, employees, and researchers

Villanova embraces Artificial Intelligence (AI) with a commitment to thoughtful, ethical use rooted in our Augustinian Catholic mission and values. We aim to balance innovation with our humanist tradition and intellectual heritage, preparing students to lead responsibly in a changing world.

Villanova has established an A.I. Task Force, which will release a comprehensive report at the end of next semester.

The report will focus on several key areas:

1. Promoting Augustinian values to foster thoughtful consideration of A.I.'s impact on human minds, society, and the natural world.

2. Recommendations for maintaining the integrity of our academic programs.

Artificial Intelligence offers opportunities to develop Villanovans in both personal and professional ways. As we prepare students for their future role in society, Villanova has an obligation to equip students and graduates, as well as employees and researchers, with the tools they need to navigate in a world with emerging and rapidly changing technologies.

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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