Teaching & Learning
- Where AI is permitted for assignments, UF guidance states AI-generated work must be cited
- UF guidance frames student AI use in graded coursework as primarily course-defined: instructors are encouraged to specify whether generative AI is permitted, permitted with limits, or not permitted, and to communicate those rules in the syllabus and assignment instructions
- Where AI is not permitted in a course, UF guidance states using generative AI is treated as an academic integrity issue, and the Student Honor Code prohibits using unauthorized resources (including an "Entity" such as generative AI) when faculty have not given express permission
Syllabus guidelines may vary by college, department, and/or course. Consider your plan for integrating AI into assessments and include clear statements in your syllabus and assignment instructions that align with your approach.
AI-Permitted: Generative AI tools may be required in this course. Generative AI use is promoted in some assignments and will be clarified in assignment instructions. Any work that is done using generative AI must be cited in your submission.
Some AI: Generative AI tools may be used to enhance some assignments in this course. Assignment instructions will differentiate between distinct human and AI tasks. Any work that is done using generative AI must be cited in your submission.
No AI: The learning that takes place in this course requires your unique perspective and human experience. Use of AI would make it harder to evaluate your work. It is not permitted to use any generative AI tools in this course, and the use of AI will be treated as an academic integrity issue.
Entity This includes but is not limited to generative artificial intelligence, large language models, content generation bots, or other non-human intelligence or digital tools.
A Student shall not use or attempt to use unauthorized materials or resources in any academic activity for academic advantage or benefit. Cheating includes but is not limited to:
Using any materials or resources, through any medium, which the Faculty has not given express permission to use and that may confer an academic benefit to a Student.
- UF also states AI detection software cannot be relied on to detect AI-generated content
- UF does not set a single AI rule for all exams/assessments in the provided sources; instead, it directs instructors to set clear course/assessment expectations in the syllabus and assignment instructions (including AI-permitted, some-AI, or no-AI approaches)
- If AI is not permitted under the course rules for an assessment, UF guidance states AI use will be treated as an academic integrity issue, and the Student Honor Code prohibits using unauthorized resources in any academic activity when not expressly permitted by faculty
Syllabus guidelines may vary by college, department, and/or course. Consider your plan for integrating AI into assessments and include clear statements in your syllabus and assignment instructions that align with your approach.
The following considerations are general approaches that may help address AI in your course:
No AI: The learning that takes place in this course requires your unique perspective and human experience. Use of AI would make it harder to evaluate your work. It is not permitted to use any generative AI tools in this course, and the use of AI will be treated as an academic integrity issue.
A Student shall not use or attempt to use unauthorized materials or resources in any academic activity for academic advantage or benefit. Cheating includes but is not limited to:
Using any materials or resources, through any medium, which the Faculty has not given express permission to use and that may confer an academic benefit to a Student.
AI detection software cannot be relied on to detect AI-generated content. Additionally, to date, AI detection software has been shown to be unreliable and biased against non-native English writers.
- UF describes generative AI as potentially supporting learning and study assistance (e.g., self-quizzing, study guides, tutoring, and instant feedback) as a benefit of incorporating AI into teaching and learning
- UF also emphasizes that students, faculty, and staff must develop AI literacy skills, including critical evaluation of AI output, and encourages teaching students about privacy and how to protect their data when using AI tools
Personalized learning: AI can help provide supplemental learning through prompts for student self-quizzing, study guides, tutoring, and more.
Increased access and assistance: AI can extend learning with 24/7 access for students who may not be able to contact their instructors or have geographical constraints. For instance, AI-powered tutoring can offer personalized support to students outside traditional hours.
AI literacy and readiness: As with all digital literacy, students, faculty, and staff must develop AI literacy skills, including use of AI tools and critical evaluation of AI output.
Privacy and security: Protecting student privacy is crucial as you select AI tools. Examine the information students provide and teach them to understand how to protect their data.
- UF’s teaching guidance acknowledges that generative AI can produce computer code, but it does not provide programming-assignment-specific rules in the provided sources
- Instead, UF frames AI use as course/assignment dependent (AI-permitted, some-AI, or no-AI), with a requirement to cite AI-generated work when AI is used under the course rules; if AI is not permitted, UF guidance states AI use is treated as an academic integrity issue
Generative AI is a broad term for AI models that produce some sort of content or media. This may include human language (written or electronically spoken), visual media such as images or animations, aural content such as music, or specific types or combinations of any of the above such as computer code or movies or other immersive content.
AI-Permitted: Generative AI tools may be required in this course. Generative AI use is promoted in some assignments and will be clarified in assignment instructions. Any work that is done using generative AI must be cited in your submission.
Some AI: Generative AI tools may be used to enhance some assignments in this course. Assignment instructions will differentiate between distinct human and AI tasks. Any work that is done using generative AI must be cited in your submission.
No AI: The learning that takes place in this course requires your unique perspective and human experience. Use of AI would make it harder to evaluate your work. It is not permitted to use any generative AI tools in this course, and the use of AI will be treated as an academic integrity issue.
Research
- UF’s AI governance guidance warns that generative AI may not follow ethical and professional standards in certain areas such as research, and it notes that AI’s use may affect intellectual property considerations
- UF also advises validation (fact-checking and review) of generative AI outputs when integrating AI into work, but it does not provide detailed, research-writing-specific disclosure or authorship rules in the provided sources
Generative AI models may not follow the ethical and professional standards certain areas, such as research.
Validation of Generative AI outputs. When integrating Generative AI into your work, consider incorporating processes for fact-checking and review of outputs.
The courts and legislatures are still figuring out the impacts the use of AI models will have on the potential patentability of research, so researchers must be cautious when using AI models to aid in research initiatives.
- UF’s AI governance guidance restricts what data may be provided to AI models: only publicly available data or data authorized by UF’s Integrated Risk Management team should be used as input
- UF states sensitive or restricted data (including student records, employee data, unpublished research results, financial data, and protected health information) should not be used with generative AI, which directly impacts research data handling and analysis workflows that may involve such data
UF faculty, staff, and students must exercise caution when providing inputs to AI models. Only publicly available data or data that has been authorized for use by UF’s Integrated Risk Management team should be provided to the models.
Sharing sensitive or restricted data with AI models carries the potential for negative consequences. This category of data includes student records, employee data, unpublished research results, financial data, and protected health information, which should not be used with Generative AI.
- UF’s AI FAQs also state AI should be used in ways that uphold academic freedom, integrity, and excellence, and that AI use should adhere to data privacy principles and applicable laws and regulations
- UF’s AI governance guidance highlights ethical, legal, and integrity risks for research uses of generative AI, including potential violations of intellectual property and privacy rights in training data and uncertainty in legal impacts (e.g., patentability)
AI should be used in ways that uphold academic freedom, integrity, and excellence, and that foster interdisciplinary collaboration and innovation.
AI should be used in ways that adhere to the principles of data privacy, applicable laws and regulations, and that protect personal data and intellectual property rights.
Generative AI models may not follow the ethical and professional standards certain areas, such as research. These tools could potentially violate the intellectual property rights of original data or content owners and the privacy rights of individuals whose data is used in training.
The training data may originate from sources that breach intellectual property and privacy laws.
The courts and legislatures are still figuring out the impacts the use of AI models will have on the potential patentability of research, so researchers must be cautious when using AI models to aid in research initiatives.
Academic Integrity
- UF teaching guidance requires citation when generative AI is used for course assignments under AI-permitted or limited-AI approaches
- UF also advises instructors to set and define course policies for disclosure and citation of generative AI and emphasizes student transparency about generative AI use
- Separately, the Student Honor Code prohibits using materials or resources (including an "Entity" such as generative AI) without proper attribution or without faculty permission when such use confers academic benefit
AI-Permitted: Generative AI tools may be required in this course. Generative AI use is promoted in some assignments and will be clarified in assignment instructions. Any work that is done using generative AI must be cited in your submission.
Some AI: Generative AI tools may be used to enhance some assignments in this course. Assignment instructions will differentiate between distinct human and AI tasks. Any work that is done using generative AI must be cited in your submission.
Set and define course policies for disclosure and citation of generative AI in your course.
Transparency: students should be transparent on their use of generative AI and ensure they are adhering to UF academic integrity standards.
Entity This includes but is not limited to generative artificial intelligence, large language models, content generation bots, or other non-human intelligence or digital tools.
Using any materials or resources prepared by another person or Entity without the other person or Entity’s express Consent or without proper attribution to the other person or Entity.
- UF states that AI detection software cannot be relied on and notes concerns about unreliability and bias against non-native English writers
- For enforcement, UF’s Student Honor Code defines cheating as using unauthorized materials/resources when faculty have not given express permission, and it establishes a university conduct process with potential sanctions for violations of the Student Honor Code
AI detection software cannot be relied on to detect AI-generated content. Additionally, to date, AI detection software has been shown to be unreliable and biased against non-native English writers.
A Student shall not use or attempt to use unauthorized materials or resources in any academic activity for academic advantage or benefit.
Using any materials or resources, through any medium, which the Faculty has not given express permission to use and that may confer an academic benefit to a Student.
Students/Student Organizations found responsible for violating the Student Honor Code or the Student Conduct Code will be subject to Sanctions appropriate for the violation(s), with consideration of any mitigating circumstances; including but not limited to the Student’s/Student Organization’s previous conduct record.
Institutional & Administrative
- UF’s AI FAQs describe faculty use cases such as course preparation (lesson plans, learning objectives, materials, and custom content) and emphasize responsible use, including compliance with university policies and data protection requirements
- UF’s privacy AI governance guidance also directs faculty/staff to use caution with inputs to AI, recommends validation (review/fact-checking) of AI outputs, and provides meeting-specific expectations (inform attendees and allow objections when using AI transcription/summaries)
Increased efficiency in course preparation: AI can assist with course preparation including lesson plans, learning objectives, materials, and custom content.
The University of Florida promotes the innovative and responsible use of AI applications to enhance academic and operational activities.
UF faculty, staff, and students must exercise caution when providing inputs to AI models.
Validation of Generative AI outputs. When integrating Generative AI into your work, consider incorporating processes for fact-checking and review of outputs.
Prior to the use of AI transcriptions and meeting summaries, meeting hosts should inform meeting attendees of their potential use. Attendees should be able to object to its use or be provided more information about its use.
- UF’s AI FAQs also state users are responsible for ensuring data input complies with UF data classification policies and that sensitive/restricted information must be anonymized or appropriately secured; additionally, users should only install/use AI applications approved via UF’s Integrated Risk Assessment process
- UF’s AI governance guidance limits AI inputs to publicly available data or data authorized by UF’s Integrated Risk Management team and states sensitive/restricted data (including student records, employee data, unpublished research results, financial data, and protected health information) should not be used with generative AI
UF faculty, staff, and students must exercise caution when providing inputs to AI models. Only publicly available data or data that has been authorized for use by UF’s Integrated Risk Management team should be provided to the models.
Sharing sensitive or restricted data with AI models carries the potential for negative consequences. This category of data includes student records, employee data, unpublished research results, financial data, and protected health information, which should not be used with Generative AI.
Data Protection: Users are responsible for ensuring that any data input into AI applications is handled in compliance with the UF’s Data Classification Policies. Sensitive and restricted information must be anonymized or appropriately secured to protect personal and institutional privacy following UF Data Security Guidance.
Risk Management: Users should only install or use AI applications that are approved by the University’s Integrated Risk Assessment process.
- UF describes an institution-wide strategy to integrate AI into education through its AI Across the Curriculum initiative launched in 2020 and articulates an AI literacy model including AI ethics
- UF also publishes AI guiding principles (e.g., transparency, safety, inclusivity, academic integrity, and data privacy) and references campus structures such as a Working Group in AI Ethics and Policy and an AI Curriculum Committee that reviews courses and awards AI course designations
In 2020, the University of Florida launched AI Across the Curriculum to integrate AI knowledge and skills into undergraduate, graduate, and professional programs.
Our AI literacy model focuses on four core areas:
Knowing and understanding AI
Using and applying AI
Evaluating and creating AI
AI ethics
What Are the AI Guiding Principles at UF?
AI should be used in ways that uphold academic freedom, integrity, and excellence, and that foster interdisciplinary collaboration and innovation.
AI should be used in ways that adhere to the principles of data privacy, applicable laws and regulations, and that protect personal data and intellectual property rights.
Working Group in AI Ethics and Policy
The AI Curriculum Committee reviews courses and awards these designations.
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.
Common Questions About University of Florida's AI Policies
University of Florida has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
UF teaching guidance requires citation when generative AI is used for course assignments under AI-permitted or limited-AI approaches. UF also advises instructors to set and define course policies for disclosure and citation of generative AI and emphasizes student transparency about generative AI use. Separately, the Student Honor Code prohibits using materials or resources (including an "Entity" such as generative AI) without proper attribution or without faculty permission when such use confers academic benefit.
UF states that AI detection software cannot be relied on and notes concerns about unreliability and bias against non-native English writers. For enforcement, UF’s Student Honor Code defines cheating as using unauthorized materials/resources when faculty have not given express permission, and it establishes a university conduct process with potential sanctions for violations of the Student Honor Code.
UF’s AI governance guidance limits AI inputs to publicly available data or data authorized by UF’s Integrated Risk Management team and states sensitive/restricted data (including student records, employee data, unpublished research results, financial data, and protected health information) should not be used with generative AI. UF’s AI FAQs also state users are responsible for ensuring data input complies with UF data classification policies and that sensitive/restricted information must be anonymized or appropriately secured; additionally, users should only install/use AI applications approved via UF’s Integrated Risk Assessment process.