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.
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.
• 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
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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.
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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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.
Trinity College of Florida has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
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.
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.
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.
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