Teaching & Learning
- Faculty resources provide model syllabus options ranging from prohibition to limited or encouraged use, so coursework rules are at instructor discretion at the course level
- UNF does not set one uniform rule for student AI use in coursework across all classes; it directs students to the course syllabus and indicates that faculty may authorize or prohibit AI use
Check your syllabus to confirm the instructor's authorized or prohibited use of AI in the course.
The Office of Faculty Excellence has written suggested syllabus language for various perspectives, ranging from incorporating generative AI into coursework to prohibiting its use.
“This course assumes all submitted work will be generated solely by the student. The use of generative AI tools (e.g., ChatGPT) is not permitted and will be considered a violation of UNF’s Academic Integrity Policy.”
“Students may use generative AI tools for brainstorming or organizing ideas but must disclose how they were used. AI-generated content must be clearly attributed and aligned with assignment goals.”
“This course encourages students to explore generative AI tools to enhance their learning. Any AI-assisted work must be properly cited, and students should include a reflection on how AI shaped their final product.”
- Students are directed to their course syllabus for rules on authorized or prohibited AI use
- UNF does not have a distinct university-wide policy for student AI use in examinations, instead deferring to individual instructors
- Faculty resources provide general advice on deciding AI's role in assignments, but specific rules for exams are handled at the course level
Check your syllabus to confirm the instructor's authorized or prohibited use of AI in the course.
When designing or revising assignments:
1. Map the task to a Bloom’s level.
2. Decide GenAI’s role: support, supplement, or restrict.
3. Include reflection prompts to maintain student accountability.
- UNF encourages students to use AI for learning support, study assistance, and skill development
- Student resources promote Microsoft Copilot, AI badges, training opportunities, explanation and feedback uses, and accessibility tools as ways to enhance learning outside or alongside formal coursework
Expand your access to online information through text-to-speech and language translation tools.
Enroll in Introduction to AI and the AI Prompt Engineering Skills badges to showcase your skills on your resume through UNF's Digital Badge Initiative. Even if you cannot pursue full coursework in artificial intelligence, you can advance your career readiness through self-paced online courses and workshops, earning a digital badge to showcase on your resume or social media profiles.
LinkedIn Learning and Microsoft offer numerous training opportunities to provide you with a solid understanding of artificial intelligence and practical applications for your future career. From the history of AI and machine learning to how-to tutorials for Microsoft Copilot, the self-paced online training is available as single tutorials or complete learning paths.
There is nothing like learning through hands-on experimentation. Microsoft Copilot is available to students at copilot.microsoft.com when you log in with your UNF ID.
Crafting effective prompts unlocks the power of generative AI. Ask Copilot to explain, create, recommend, and more using natural conversational language. The more details you provide—from study notes to rough drafts—the more personalized feedback you will receive.
- UNF does not set a university-wide rule specifically governing AI code generation for student programming assignments
- Faculty guidance includes AI-assisted code debugging as an example of disciplinary use and places course-level decisions about AI use in the syllabus, so this area is addressed through instructor choice rather than a single institution-wide student rule
The Office of Faculty Excellence has written suggested syllabus language for various perspectives, ranging from incorporating generative AI into coursework to prohibiting its use.
Check your syllabus to confirm the instructor's authorized or prohibited use of AI in the course.
Incorporate AI as a tool for disciplinary practices, such as:
* AI-generated data visualizations in business or STEM fields.
* AI-assisted code debugging in computer science.
* AI-facilitated translation and summarization in language courses.
Research
- UNF explicitly supports AI use for research enhancement, including data analysis and research methodologies
- Its innovation grant materials identify AI for quantitative and qualitative data analysis and AI-based research tools as supported research directions
AI in Research Enhancement: Focuses on how AI can augment research capabilities at UNF. This includes using AI for data (both quantitative and qualitative) analysis, enhancing research methodologies, AI developments in the arts and humanities, or developing AI-based tools to assist in various research fields.
- However, the cited sources do not define specific rules for AI use in grant proposals, IRB applications, or formal research ethics disclosures
- UNF states broad expectations that AI in teaching, learning, and research should be used ethically, responsibly, transparently, and in line with academic integrity and privacy standards
UNF will integrate AI ethically and responsibly into its curriculum, empowering graduates with the skills to navigate an AI-driven world. Additionally, UNF will be at the forefront of AI research and development, contributing to advancements in the field and preparing graduate and future leaders to harness AI for the benefit of society.
Ethical and responsible AI: Highlights the importance of considering the ethical implications and societal impact of AI development and deployment.
Use AI in ways that respect intellectual property, academic honesty, and university standards.
Avoid unauthorized or deceptive AI use and ensure AI inputs do not violate data privacy policies.
Explore the full UNF AI Guidelines to understand our principles for responsible AI integration in teaching, learning, and research—including expectations for transparency, privacy, and academic integrity.
Academic Integrity
- UNF requires or strongly expects transparency when AI is allowed
- Faculty guidance says AI use should be disclosed in syllabi, assignments, and communications, and AI-generated content should be cited; model syllabus language also requires students to disclose and clearly attribute AI use, and in one model to include a reflection on how AI shaped the final product
Clearly disclose AI usage in syllabi, assignments, and communications.
Cite AI-generated content—students and faculty alike should know when and how AI contributed to work products.
“Students may use generative AI tools for brainstorming or organizing ideas but must disclose how they were used. AI-generated content must be clearly attributed and aligned with assignment goals.”
“This course encourages students to explore generative AI tools to enhance their learning. Any AI-assisted work must be properly cited, and students should include a reflection on how AI shaped their final product.”
* Addresses citation, disclosure, and access equity
Uphold Integrity Ask students to self-report AI use and submit annotated drafts.
- UNF does not recommend the use of AI detection tools for academic assignments at this time because it says they are not yet reliable and transparent enough
- For enforcement, faculty model policy language states that prohibited use of generative AI can be treated as a violation of UNF's Academic Integrity Policy, but course-level rules depend on the syllabus
After researching institutional models and approaches, along with support from university leadership and the AI Council, UNF does not recommend using AI detection tools for academic assignments until they become significantly more reliable and transparent.
“This course assumes all submitted work will be generated solely by the student. The use of generative AI tools (e.g., ChatGPT) is not permitted and will be considered a violation of UNF’s Academic Integrity Policy.”
Check your syllabus to confirm the instructor's authorized or prohibited use of AI in the course.
Institutional & Administrative
- UNF encourages faculty and staff to use AI in teaching and workplace productivity, but with human-centered, ethical, and transparent oversight
- Faculty guidance allows AI for tasks such as personalized feedback and requires fairness, auditability, and transparency for AI-driven grading or analytics; staff guidance promotes Microsoft Copilot for communications, analysis, recommendations, and automation
Match AI tools with clear learning objectives—use traditional AI for automating tasks and generative AI for fostering creativity or personalized feedback.
Use AI to support, not replace, faculty-student engagement, and ensure that every learner feels valued and supported.
Ensure that AI-driven grading or analytics processes are fair, auditable, and meet transparency standards, particularly when AI outputs could affect academic progress.
Draft messages, generate images, and solicit feedback for communications
Analyze complex data to provide insights, identify anomalies, and inform decision-making
Analyze data to predict future patterns and provide recommendations based on accurate and timely insights
Automate processes to reduce time and errors, or provide continuous monitoring and service
- UNF directs faculty to use only AI tools that are vetted and supported by the university, specifically naming Microsoft Copilot as a protected option
- The guidance says AI inputs must not violate data privacy policies, new tools should be reviewed with CIRT or the Help Desk, and UNF staff materials state that Microsoft Copilot at UNF protects data privacy unlike open-source alternatives
Avoid unauthorized or deceptive AI use and ensure AI inputs do not violate data privacy policies.
Use only AI platforms vetted and supported by UNF (e.g., Microsoft Copilot with data privacy).
Seek guidance from CIRT or the Help Desk when evaluating new tools, and confirm compliance with university policies.
Use Approved Tools Direct students to Microsoft Copilot for secured AI tool use.
Microsoft Copilot is available to UNF staff at copilot.microsoft.com when you log in with your UNF ID or on your Windows desktop toolbar. Unlike ChatGPT and other open source tools, Microsoft Copilot at UNF ensures data protection and privacy, so your queries or research are never shared with the large language model.
- UNF has an institutional AI strategy focused on integrating AI across learning, teaching, research, and operations with an emphasis on ethical and responsible use
- Governance is supported by the AI Council, which approved the university's stance on AI detection tools and published guiding principles and policy language, and the strategic plan highlights an AI ecosystem, active engagement, and ethical and responsible AI
UNF will integrate AI ethically and responsibly into its curriculum, empowering graduates with the skills to navigate an AI-driven world. Additionally, UNF will be at the forefront of AI research and development, contributing to advancements in the field and preparing graduate and future leaders to harness AI for the benefit of society.
Focus on AI ecosystem: Emphasizes the integration of AI throughout the university, creating an environment where AI is used for learning, teaching, research and operations.
Active engagement with AI: Encourages using AI while understanding and evaluating its applications.
Ethical and responsible AI: Highlights the importance of considering the ethical implications and societal impact of AI development and deployment.
Policy & Tracking: The AI Council approved UNF’s stance on AI detection tools and published guiding principles and implications language for multiple UNF policies to the AI website.
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 North Florida's AI Policies
University of North Florida has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
UNF requires or strongly expects transparency when AI is allowed. Faculty guidance says AI use should be disclosed in syllabi, assignments, and communications, and AI-generated content should be cited; model syllabus language also requires students to disclose and clearly attribute AI use, and in one model to include a reflection on how AI shaped the final product.
UNF does not recommend the use of AI detection tools for academic assignments at this time because it says they are not yet reliable and transparent enough. For enforcement, faculty model policy language states that prohibited use of generative AI can be treated as a violation of UNF's Academic Integrity Policy, but course-level rules depend on the syllabus.
UNF directs faculty to use only AI tools that are vetted and supported by the university, specifically naming Microsoft Copilot as a protected option. The guidance says AI inputs must not violate data privacy policies, new tools should be reviewed with CIRT or the Help Desk, and UNF staff materials state that Microsoft Copilot at UNF protects data privacy unlike open-source alternatives.