Trinity College (DC) AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
75%9 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

Trinity College (DC) has defined AI policies across 9 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 data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, AI governance strategy.

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Teaching & Learning

U1Coursework & Assignments
AI Prohibited
  • Using AI to generate an entire paper or assignment presented as the student's own work is prohibited
  • Students may use AI for preparatory coursework tasks, but only in ways that support their own learning and only within course-specific requirements
  • For written assignments, AI-generated material is allowed only if the instructor permits it, and even then it must be used sparingly and in support of the student's own ideas

Students are responsible for using AI tools properly while adhering to course-specific requirements and guidelines, including style, formatting, and referencing. AI tools can be used when studying, prewriting, source gathering, and in other preparatory tasks related to coursework. AI tools should only be used to support student learning, not replace it.

If use of AI-generated material is permitted by the instructor in a course or for a specific assignment, any AI-generated text should be used sparingly, appropriately, and in service of supporting one’s own ideas as with other integrated materials, at your instructor’s discretion. Using AI to generate an entire paper or assignment that is meant to be your own work is not a proper use of this technology.

U2Examinations & Assessments
AI Prohibited in Exams
  • AI use during tests and assessments is prohibited
  • The university states that students must generate and recall the knowledge being assessed themselves, noting that AI generators may not always provide correct answers

Generative AI and related tools should not be used to compose responses to test or assessment questions. Testing assesses a student's understanding of specific information and knowledge. It is the student's responsibility to generate and recall this knowledge. AI generators may not always provide correct answers.

U3Learning & Study Assistance
AI Encouraged for Study
  • The policy limits this use to supporting student learning rather than replacing it
  • AI is permitted for non-graded learning support such as studying, prewriting, source gathering, and other preparatory coursework tasks

Students are responsible for using AI tools properly while adhering to course-specific requirements and guidelines, including style, formatting, and referencing. AI tools can be used when studying, prewriting, source gathering, and in other preparatory tasks related to coursework. AI tools should only be used to support student learning, not replace it.

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
AI Analysis Restricted
  • No AI-specific policy for research data or analysis is defined
  • The university's general academic integrity policy prohibits falsifying research results, inventing data, and misrepresenting sources, which applies broadly to all work including any AI-assisted research

Falsifying research results is also academic dishonesty. Examples include: 1. Deliberately misreporting the results of laboratory or field research; 2. Inventing data and sources for written, oral, or other presentations; 3. Inventing case studies and relevant facts in reports, papers, or presentations that purport to be about real people and real cases.

U7Research Ethics & Integrity
Review Board InvolvedEthics Framework Active
  • No AI-specific policy for research ethics, grant proposals, or IRB applications is defined
  • The university's general academic integrity policy prohibits falsifying research results and inventing data or sources, which would apply to any work including AI-assisted research

Falsifying research results is also academic dishonesty. Examples include: 1. Deliberately misreporting the results of laboratory or field research; 2. Inventing data and sources for written, oral, or other presentations; 3. Inventing case studies and relevant facts in reports, papers, or presentations that purport to be about real people and real cases.

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Academic Integrity

U8Disclosure & Attribution Requirements
Citation Required
  • The policy also requires students to cross-check AI-generated citations for accuracy
  • When AI-generated material is used in an assignment and the instructor permits that use, students must cite it appropriately using the citation style required by the course

When using AI-generated material in an assignment (if permitted), it must be cited appropriately and with the required citation style for that course (APA, MLA, etc.). If using AI tools to generate citations, students should always cross-check them with required formatting standards for accuracy. While use of AI-generated material may be permitted on certain assignments, remember that AI-generated material is not considered scholarly.

U9Detection & Enforcement
Detection Tools UsedPenalties Defined
  • Trinity explicitly says it does not use Turnitin.com or other commercial plagiarism-detection products
  • Improper AI use is treated as cheating, and the university applies its academic dishonesty procedures and penalties
  • Penalties differ by student status: undergraduates before senior status face escalating sanctions, while senior-status and graduate students found guilty of academic dishonesty are expelled

Inappropriate use of AI-generated material is a form of cheating. Processes and penalties for cheating and other forms of academic dishonesty are covered in Trinity’s honor policy, found here:

As a matter of institutional policy, Trinity does not use Turnitin.com or other commercial products to discover plagiarism, and faculty should follow this policy.

For undergraduate students in all academic units prior to the achievement of senior status, the penalties for engaging in any form of academic dishonesty are as follows:

1. In the first instance, the student will get an “F” grade in the course and the student will receive counseling concerning her or his conduct. No refunds are available for courses in which a student receives an “F” grade for cheating.

2. In the second instance, the student will get an “F” grade for the course and will be suspended from school for the balance of the semester in which she or he is enrolled and the subsequent semester. No refunds are available under these circumstances. If the decision occurs in the middle of a semester in which the student is also enrolled in other courses, the student will receive “W” grades for all other courses.

3. In the third instance, the student will get an “F” grade for the course and will be expelled from Trinity with no opportunity to return. No refunds are available under these circumstances, and if the student is enrolled in other courses at the time of the decision, the student will receive a “W” grade in all other courses.

Accordingly, senior students and graduate students who are found guilty of academic dishonesty are expelled from Trinity. In this instance, the student will get an “F” grade for the course and will be expelled from Trinity with no opportunity to return. No refunds are available under these circumstances, and if the student is enrolled in other courses at the time of the decision, the student will receive a “W” grade in all other courses.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • The provided sources do not give a policy on faculty or staff using AI for grading, feedback, lesson planning, recommendation letters, or administrative communications
  • The only faculty-facing statement in the provided materials is that faculty should follow the institutional policy not to use Turnitin.com or other commercial plagiarism-detection products

As a matter of institutional policy, Trinity does not use Turnitin.com or other commercial products to discover plagiarism, and faculty should follow this policy.

U11Institutional Data Protection & Approved AI Platforms
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No policy defined yet
U12University AI Governance & Strategy
Governance Body Active
  • This is the only explicit AI governance statement in the provided sources
  • The university states that its AI coursework policy will be reviewed regularly by the University Committee on Academic Policy

Note: Due to the changing nature of Artificial Intelligence, this policy will undergo regular review by the University Committee on Academic Policy (UCAP).

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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