Florida State University 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. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
Determine when AI tools may or may not be used in your courses and clearly communicate your decision to students.
Your professor determines if and how AI technologies may be used in coursework.
Be sure to read the course syllabus carefully for guidance on the use of AI technologies and, if you need clarification, reach out to your professor before you use AI in your class assignments.
Students are encouraged to use AI tools, such as Google Gemini or Microsoft Copilot, to explore ideas and collaborate with others. All AI-generated content must be cited, and its accuracy should be carefully evaluated.
AI tools may be used with caution. For specific assignments, AI-generated content may be incorporated, but it must be clearly cited and validated. Students are advised to consult with the instructor if unsure about the appropriateness of AI for a particular task.
AI tools are not permitted in this course. All work must be completed independently, without the assistance of AI tools.
Cheating is the improper access to or use of any information or material that is not specifically condoned by the instructor for use in the academic exercise.
Use of unauthorized AI tools during an exam is an example of cheating with AI.
Students are encouraged to use AI tools, such as Google Gemini or Microsoft Copilot, to explore ideas and collaborate with others. All AI-generated content must be cited, and its accuracy should be carefully evaluated.
Your professor determines if and how AI technologies may be used in coursework.
Be sure to read the course syllabus carefully for guidance on the use of AI technologies and, if you need clarification, reach out to your professor before you use AI in your class assignments.
Generative AI is a type of artificial intelligence that assists you in creating and editing content, analyzing data, or editing images.
Provided securely to all FSU users through Microsoft Copilot for the web, you have access to generative AI through any web browser using your FSU login information.
Take advantage of this tool to assist with text generation, image synthesis, data analysis, and more.
Students are encouraged to use university-approved AI tools, such as Google Gemini or Microsoft Copilot, to explore ideas and collaborate with others. All AI-generated content must be cited, and its accuracy should be carefully evaluated.
AI tools may be used with limitations. For specific assignments, AI-generated content may be incorporated, but it must be clearly cited and validated.
The Academic Honor Policy defines plagiarism as using work from print, web, or other sources without acknowledging the source.
Uphold academic integrity by setting expectations and clearly defining acceptable AI use in your course syllabus and materials to foster transparency and accountability.
Be sure to follow the FSU Academic Honor Policy process when alleged academic misconduct occurs.
When you suspect academic misconduct involving the use of AI, follow the FSU Academic Honor Policy.
Use of unauthorized AI tools during an exam is an example of cheating with AI.
Presenting AI-generated content as though it is original work is an example of plagiarism.
Examples of falsification include use of AI to generate false citations, documents, or signatures.
The following sanctions are available in the Student & Instructor Resolution and Administrative Case Resolution procedures and may be imposed singly or in combination.
2. A reduced grade (including “0” or “F”) for the assignment
Uphold academic integrity by setting expectations and clearly defining acceptable AI use in your course syllabus and materials to foster transparency and accountability.
Tools used for instruction must have safeguards in place to protect student information and institutional content.
FSU’s ITS Software/Service Checklist is required for the purchase of software, including AI tools and applications, and ensures software is appropriately vetted for the security of protected data.
Ensure your use of AI complies with data privacy laws and institutional policies, safeguarding personal, academic, and research data.
It is important to understand the information security risks associated with their use, especially AI tools that do not have FSU data agreements in place.
FSU’s Acceptable Use of Technology Policy prohibits use of third-party tools not approved by Procurement Services, Office of the General Counsel, and the Information Security and Privacy Office.
Only technologies and applications reviewed and approved for use by Procurement Services, Office of the General Counsel, and the Information Security & Privacy Office may be used.
Sharing information with AI tools not licensed by the university (or approved through the appropriate university channels) can lead to unintended violations of data privacy laws such as FERPA, GDPR, and HIPAA.
In 2024, FSU established the Artificial Intelligence in Education Advisory Committee (AIEAC) to evaluate the impact of artificial intelligence (AI) on teaching and learning, as well as develop policies and practices that support effective use of the technology.
The committee’s recommendations will be presented to the Faculty Senate and the Office of the Provost in the Spring 2025 term.
The university has been evaluating the impact of artificial intelligence on practices in teaching, assessing its effect on learning and student engagement, and developing policies for consideration by the Faculty Senate and Office of the Provost.
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.
Florida State University has defined AI policies in 9 of 12 categories, with an overall coverage score of 75%.
FSU’s teaching and learning guidance includes an explicit requirement to cite AI-generated content in contexts where AI use is encouraged/allowed, and its academic integrity guidance ties unacknowledged use of others’ work to plagiarism. The university also emphasizes that instructors should clearly define acceptable AI use in syllabi and materials to foster transparency and accountability.
FSU directs instructors to follow the Academic Honor Policy process when alleged academic misconduct involving AI occurs and provides examples of how AI use can fall under cheating, plagiarism, and falsification. The Academic Honor Policy outlines procedures and sanctions, including reduced grades (including “0” or “F”) for assignments and additional academic work, and describes formal resolution and hearing processes using a preponderance of the evidence standard.
FSU requires AI use to comply with data privacy laws and institutional policies and emphasizes information security risks, especially for AI tools without FSU data agreements. The university states that its Acceptable Use of Technology Policy prohibits use of third-party tools not approved through specified university offices, and separately states that only reviewed and approved technologies and applications may be used. FSU also warns that sharing information with AI tools not licensed by the university can lead to unintended violations of data privacy laws such as FERPA, GDPR, and HIPAA.
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