Providence College AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & 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.
Active
Detection
The university has mechanisms in place to detect unauthorized AI use.
Committee Active
Governance
The university has established a dedicated committee, task force, or working group to oversee AI governance.
POLICY OVERVIEW

AI Policy Summary

Providence College has defined AI policies across 8 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, 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
  • When AI use is unauthorized, submitting AI-generated work can be treated as academic dishonesty
  • Providence College does not set a single university-wide rule allowing or banning AI for graded coursework
  • Instead, use of AI in assignments is determined by the instructor and course expectations, and students are told they are responsible for understanding whether AI use is authorized

Academic integrity is best preserved by expecting instructors to be clear with students about how and under what conditions AI-enabled tools may and may not be used in support of coursework.

Students should understand that they are always accountable for any and all work they submit under their own name and should understand, if needed, where the boundaries are in terms of unauthorized use, plagiarism, source/citation attribution, submitting false or fabricated information, copyright infringement, data and personal privacy, and violating conditions of use set by providers of online tools.

Faculty should be explicit about the degree to which students can use AI-enabled tools for class assignments, and students should make every effort to understand and respect the boundaries that have been set.

Instances where students submit work using AI-enabled tools beyond the limits set by their instructor can likely be viewed as violations of academic honesty standards.

Academic dishonesty can take many forms, but some examples include cheating, plagiarism, obtaining unfair advantage and falsification of records and official documents.

Submitting as one’s own, in fulfillment of academic requirements, any work that has been copied in whole or in part from another individual’s work, from any internet source, or from an artificial intelligence platform without attribution and authorization from the course instructor.

U2Examinations & Assessments
Instructor Discretion
  • Providence College does not provide a separate institution-wide AI rule specifically for exams or quizzes in the cited materials
  • The available guidance indicates that AI use in assessed work depends on the limits set by the instructor, and use beyond those limits may violate academic honesty standards

Faculty should be explicit about the degree to which students can use AI-enabled tools for class assignments, and students should make every effort to understand and respect the boundaries that have been set.

Instances where students submit work using AI-enabled tools beyond the limits set by their instructor can likely be viewed as violations of academic honesty standards.

U3Learning & Study Assistance
AI Encouraged for Study
  • The college also warns students to understand course-specific boundaries and remain accountable for submitted work
  • Providence College permits AI as a learning aid in some circumstances, but frames it as something faculty should actively govern and teach students to use responsibly
  • Faculty guidance encourages instruction on ethical and effective use of AI and suggests helping students use AI as support rather than replacement for their own learning

As AI-enabled tools proliferate, students should learn to use such tools ethically and effectively. That means the College should not only prohibit and police misuse, but should also show students where AI tools may be useful, where they can harm learning, and where they introduce ethical or practical concerns.

You may want to teach students how to use AI-enabled tools without overusing them. For instance, if students have access to a model that can generate practice quizzes or grammar feedback, you might ask them to use those tools for support while emphasizing that they should continue to do original writing and independent studying.

Students should understand that they are always accountable for any and all work they submit under their own name and should understand, if needed, where the boundaries are in terms of unauthorized use, plagiarism, source/citation attribution, submitting false or fabricated information, copyright infringement, data and personal privacy, and violating conditions of use set by providers of online tools.

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 guidance also recommends that instructors tell students how AI use should be acknowledged in coursework
  • The policy emphasis is on transparency and compliance with course-specific rules rather than a single campus-wide citation format
  • Providence College requires attribution and instructor authorization when AI-generated material is submitted as part of academic work

Submitting as one’s own, in fulfillment of academic requirements, any work that has been copied in whole or in part from another individual’s work, from any internet source, or from an artificial intelligence platform without attribution and authorization from the course instructor.

Faculty should think carefully about how students should acknowledge AI-generated or AI-assisted content in submitted work. For example, should students disclose when they use tools like ChatGPT? If so, in what form?

U9Detection & Enforcement
Detection Tools Used
  • Providence College warns faculty against relying solely on AI detectors because they can be unreliable and biased
  • Enforcement of undisclosed or unauthorized AI use proceeds through existing academic honesty processes, and the student handbook classifies submitting AI-generated work without attribution and instructor authorization as academic dishonesty

Some AI detection tools are known to produce false positives and biases, especially against non-native speakers. AI-generated text can also evade detection, and some human writing can be incorrectly flagged. Faculty should therefore avoid relying solely on AI detectors when making judgments about student misconduct.

Instances where students submit work using AI-enabled tools beyond the limits set by their instructor can likely be viewed as violations of academic honesty standards.

Submitting as one’s own, in fulfillment of academic requirements, any work that has been copied in whole or in part from another individual’s work, from any internet source, or from an artificial intelligence platform without attribution and authorization from the course instructor.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • Guidance also says any AI-assisted grading or feedback should be checked carefully for fairness and accuracy
  • Providence College permits faculty to use AI in teaching-related work, but requires human judgment and cautions against outsourcing core professional responsibilities
  • Faculty are told to evaluate AI-generated material carefully, avoid entering sensitive student information into public systems, and not use AI to write recommendation letters

Faculty and staff may choose to use AI-enabled tools to generate lesson ideas, revise instructions, summarize publicly available information, or assist with certain repetitive tasks. However, the responsibility for all final decisions and communications remains with the person using the tool.

Any feedback or grading support generated by AI-enabled tools should be reviewed carefully by the instructor to ensure fairness, accuracy, and alignment with course objectives. Faculty should not delegate evaluative judgment entirely to AI systems.

Do not use AI-enabled tools to write letters of recommendation. Such letters are expected to represent your own informed judgment and voice.

Be cautious with student data and intellectual property. Faculty should not upload private student work or personally identifying information into public AI tools unless the platform is institutionally approved and appropriate privacy safeguards are in place.

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedData Protection Active
  • The college's broader AI guidance also states that users should understand data privacy risks and providers' terms of use before using such tools
  • Providence College requires caution with sensitive data in AI systems and limits use of public AI tools for private student information unless the tool is institutionally approved and has appropriate privacy protections

Be cautious with student data and intellectual property. Faculty should not upload private student work or personally identifying information into public AI tools unless the platform is institutionally approved and appropriate privacy safeguards are in place.

Students should understand that they are always accountable for any and all work they submit under their own name and should understand, if needed, where the boundaries are in terms of unauthorized use, plagiarism, source/citation attribution, submitting false or fabricated information, copyright infringement, data and personal privacy, and violating conditions of use set by providers of online tools.

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • Providence College has a formal institutional AI governance structure and strategy centered on a standing committee and campus guidance
  • The college states that the committee monitors AI developments, advises leadership, promotes ethical and effective use, and develops resources and recommendations for the campus community

In Fall 2023, the College established the AI Committee, chaired by Dr. A. Yavuz Oruç, to monitor the impact of artificial intelligence on education, scholarship, and administration; to provide recommendations and support to faculty and students; and to create opportunities for learning and dialogue around responsible and mission-consistent uses of AI at Providence College.

The Artificial Intelligence Committee is charged with studying and making recommendations concerning the evolving role of AI in teaching, learning, research, and administration at Providence College. The committee advises the Provost and collaborates with relevant campus offices on matters related to academic integrity, pedagogy, institutional policy, faculty development, and strategic planning concerning artificial intelligence.

The committee shall:

• monitor developments in AI and assess their implications for Providence College;

• recommend policies, practices, and educational initiatives related to AI use;

• support faculty, staff, and students in the ethical and effective use of AI tools;

• help identify opportunities and risks associated with AI technologies;

• foster campus-wide conversation and collaboration about AI-related issues.

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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