Trinity College of Florida AI Policy

FloridaPrivateLast 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

Trinity College of Florida 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 ProhibitedViolations Enforced
  • For admissions essays, any use of AI is prohibited and can result in denial
  • For student academic work, AI-generated assignments are treated as academic integrity violations when they are unauthorized
  • The policy also states that work must be done by the student without unauthorized aids, and instructor permission is the relevant exception

This assumes that all work will be done by the person who purports to do the work without unauthorized aids.

• Cheating - which is the use or attempted use of unauthorized material, information, electronic device, implement, or study aid in, for example, any test, quiz, academic exercise, or assignment without the instructor’s permission

• Fabricating or falsifying - which is the unauthorized falsification or invention of any data, information, or citation in an academic exercise, including the use of Artificial Intelligence (AI) generated assignments.

All essays must be written by the applicant, any use of AI will be grounds for denial.

U2Examinations & Assessments
AI Prohibited in Exams
  • The university frames unauthorized use of materials, devices, or study aids in assessments as cheating
  • Use of AI or other aids during tests, quizzes, and similar assessments is not permitted unless the instructor gives permission

• Cheating - which is the use or attempted use of unauthorized material, information, electronic device, implement, or study aid in, for example, any test, quiz, academic exercise, or assignment without the instructor’s permission

U3Learning & Study Assistance
Guidelines Issued
  • Its stated rule only addresses unauthorized aids in academic work and assessments
  • The university does not define a specific policy on using AI for tutoring, studying, concept explanation, or personal learning outside graded work

not defined

U4Code Generation & Programming
Code Policy Defined
  • No coding-specific AI guidance appears in the provided sources
  • The university does not define any specific policy on AI use for programming, code generation, or debugging

not defined

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Research

U5Research Writing & Manuscript Preparation
Editing-Level Use Allowed
  • The university does not define a specific policy on AI use for drafting, editing, or preparing research papers, theses, dissertations, or manuscripts in the provided sources

not defined

U6Research Data & Analysis
Data Policy Defined
  • The university does not define a specific policy on AI use for research data collection, analysis, statistics, synthetic data, or interpretation of results in the provided sources

not defined

U7Research Ethics & Integrity
Review Board InvolvedEthics Framework Active
  • The university does not define a research-specific AI ethics or integrity policy for grant proposals, IRB materials, ethics declarations, or other research compliance documents in the provided sources

not defined

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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • Students are required to attribute language and ideas not their own by naming the source in the text or providing a citation
  • The university does not establish a separate AI-specific disclosure requirement for permitted AI use; instead, the policy treats unauthorized AI-generated content as fabrication or falsification under academic dishonesty rules

In addition, when making use of language and some ideas, not his or her own, whether quoting them directly or paraphrasing them into his or her own words, the student must attribute the source of the material in some standard form, such as naming the source in the text or offering a citation.

• Fabricating or falsifying - which is the unauthorized falsification or invention of any data, information, or citation in an academic exercise, including the use of Artificial Intelligence (AI) generated assignments.

U9Detection & Enforcement
Detection Tools UsedPenalties Defined
  • The university provides enforcement procedures and penalties for academic dishonesty, including plagiarism, but does not state a position on AI detection software in the provided sources
  • Instructors must report issues to academic administrators, initial plagiarism penalties are at the instructor's discretion and may include course failure, repeated plagiarism may lead to expulsion, and students may appeal

Individual instructors are responsible to notify the Academic Dean and the Registrar within seven (7)

Penalties for an initial case of plagiarism are at the discretion of the course instructor and may include failure of the course. Penalties for repeated plagiarism in the same course or for plagiarism in multiple courses are at the discretion of the Vice President for Academic Affairs and may include expulsion from the college. Students may appeal a finding of plagiarism by filing a written appeal with the office of the Vice President for Academic Affairs no more than one week after the original decision. The Vice President for Academic Affairs will schedule a hearing in which evidence of the alleged plagiarism will be presented by the faculty member.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • The university does not define any policy in the provided sources on faculty or staff use of AI for grading, feedback, teaching preparation, recommendation letters, or administrative work

not defined

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedData Protection ActiveUnapproved AI Blocked
  • The university does not define any policy in the provided sources on data protection rules for AI, approved AI platforms, restricted data categories, or prohibited AI systems

not defined

U12University AI Governance & Strategy
Governance Body ActiveAI Strategy Defined
  • The university does not define an overarching AI governance framework, strategy, committee, or institutional roadmap in the provided sources

not defined

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