University of Florida Plagiarism and AI Policy
Last verified October 24, 2026 · AI-assisted research and drafting · Maintained by Plagiarism Checker Online, operated by Markus Nick
The short answer: According to the published guidance checked October 24, 2026: UF's Getting Started With AI teaching guidance asks instructors to put AI expectations in the syllabus, explain citation where applicable and state clearly if generative AI is not permitted. This teaching guidance does not itself grant permission for every assignment; consult the actual course rules.
Key facts, with sources
| Topic | What the school publishes | Source |
|---|---|---|
| School | Public, four-year institution in Gainesville, FL | Source |
| Official policy | Academic integrity policy | Source |
| Honor code | Student Honor Code and Student Conduct Code, Regulation4.040 | Source |
| Plagiarism definition | Regulation4.040 includes misquoting, insufficient paraphrasing, patch-writing, unapproved and unacknowledged reuse, missing attribution and submitting work not authored by the student. | Source |
| Generative AI | Instructor decides. UF's Getting Started With AI teaching guidance asks instructors to put AI expectations in the syllabus, explain citation where applicable and state clearly if generative AI is not permitted. This teaching guidance does not itself grant permission for every assignment; consult the actual course rules. | Source |
| Sanctions | Published options, not a mandatory sequence or an individual outcome; see the linked policy. | Source |
| Appeals | Written appeals have different grounds and authorities by route. Administrative Review/Collaborative Resolution appeals are limited to sanction appropriateness. Hearing appeals may raise materially outcome-affecting rights violations, qualifying new information or inappropriate sanctions. The applicable authority depends on the original decision and whether separation or a sexual-misconduct allegation is involved; follow Section9 and the decision letter. Deadline stated: within ten Class Days from the decision letter; Class Days are weekdays when UF operates and holds classes, excluding university holidays, closures, breaks and other non-class business days. | Source |
| Earlier coursework | Reuse of previously submitted work or simultaneous submission requires full and clear acknowledgment and faculty permission; authorship of the earlier work alone is not permission. | Source |
| Summary scope | Independent AI-assisted summary of UF Regulation4.040 and its Getting Started With AI teaching guidance, not affiliated with UF. Course permission and citation, Class Day counting, route-specific appeals and possible sanctions are distinguished; no individual result is predicted. | Source |
In the school's own words
“Stealing, misquoting, insufficiently paraphrasing, or patch-writing.”
Plagiarism definition: source, checked October 24, 2026.
“Put your AI expectations in your syllabus.”
Generative AI policy: source, checked October 24, 2026.
Published outcomes and review levels
These are the published options or review limits below, not a predicted outcome or an automatic sequence. Follow the linked policy for the applicable process.
- Academic sanctions. Honor Code outcomes may include a grade adjustment and a restriction on dropping or withdrawing from the course.
- Status and educational sanctions. The regulation authorizes appropriate status and educational sanctions alongside academic outcomes. Published status options include reprimand, conduct review, probation and restrictions. Options can be combined and are not an automatic sequence.
What students at University of Florida should know
UF's teaching guidance tells instructors to make AI expectations explicit in the syllabus, including when generative AI is not permitted and how permitted use should be cited. It is guidance for communicating course rules, not a universal invitation to use AI on every assignment. The Honor Code separately addresses insufficient paraphrasing, patch-writing and submitting outside work as one's own. Its reuse rule also requires acknowledgment and faculty permission for earlier or simultaneously submitted work; being the original author does not remove that requirement. If you face a decision under Regulation 4.040, pay attention to its appeal clock. The published period is ten Class Days from the decision letter, not simply ten calendar days or ten ordinary working days. The regulation defines Class Days as weekdays when UF is operating and holding classes, excluding holidays, closures and breaks. Appeal grounds and recipients depend on how the decision was reached: Administrative Review or Collaborative Resolution is limited to sanction appropriateness, while hearing appeals have additional stated grounds. Do not copy a generic appeal template without identifying your route and the applicable authority. Academic, status and educational sanctions may be combined; the list is not an automatic progression. Ask the Dean of Students or designee for interpretation of the code and use the instructions in your actual decision letter.
Frequently asked questions
Regulation4.040 states ten Class Days from the decision letter. Class Days are weekdays when UF is operating and holding classes; university holidays, closures, breaks and other days without classes are excluded. Follow the decision letter and the route-specific provisions rather than treating this as ten calendar days.
The plagiarism provision requires full and clear acknowledgment and permission from the faculty receiving the work. The rule covers both reuse of earlier submissions and simultaneous submissions, so citation alone does not establish permission.
No. Administrative Review/Collaborative Resolution appeals are limited to sanction appropriateness. Hearing appeals have additional specified grounds, and the appeal authority also depends on the decision type. Identify the process in your decision letter and consult Section9.
Every row links to its source. Independent summary, not affiliated with University of Florida. Found a mistake? Report a correction.
A related topic we cover in depth: our guide to university AI policies.
Next step for most readers: the guide to using AI in papers.
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