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AI Guidelines and Policies

UNF is proactively adapting institutional policies and resources to meet the challenges and opportunities presented by artificial intelligence. Prioritizing integrity and data security, the UNF AI Council will guide recommendations for the ethical and safe integration of AI technologies into education, research, and operations.

Academic Integrity Policy

Guided by our Academic Integrity Policy, UNF aims to encourage and protect the free and open pursuit of knowledge. Artificial intelligence tools will augment learning and research in ethical ways.

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Technologies and Tools

To ensure a secure environment, UNF offers access to approved technologies and helpful tutorials, enabling our faculty, students, and staff to trust that their interactions with artificial intelligence are safe and protected.

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Writing AI Prompts

Discover how mastering the art of writing effective AI prompts can significantly enhance your AI experience. With a basic understanding of AI, you can guide your tools to produce accurate and relevant responses.

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General Principles for AI Use at UNF

The University of North Florida establishes the following guiding principles for the use of Artificial Intelligence (AI) tools by our community. We base these principles on our core values as articulated in our strategic plan. These principles will be further codified and articulated in relevant policy documents for faculty, staff, and students. These principles will also guide how we work with AI and our partners in the northeast Florida region.

In using AI, UNF faculty, staff, and students will...

Understand

that AI is a tool and as such has its uses, strengths, limitations, and risks.

Be accountable

and practice transparency in the use of AI tools by communicating when and how they used such tools in their work products and class projects.

Show integrity

and use AI tools in ethical ways that do not compromise intellectual property rights, data privacy, or our academic rigor and honor.

Strive for excellence

and use AI to enhance and add value to our intellectual and creative work, our teaching and learning, and our operations.

Be civil and promote a culture of care

where the study and use of AI will center the importance and value of humans in all their diversity, and enable participation by all members of our community.

General Policies Relevant to AI Use

Policy Number	Policy Name	AI Implications
1.0030R	Disruptive Behavior	Misinformation: AI can create misinformation causing , disruption to university processes. Interference with Teaching: AI can generate fake scholarly content or tools that potentially undermine academics. Unauthorized Use of Property: AI can access or manipulate University systems without permission. Disruption of Functions: AI can automate actions that programmatically disrupt University functions,.
1.0020P	Ethical Conduct	Integrity of University Business: AI systems in grading or admissions shouldbe transparent and unbiased. Ethical Standards: AI use should align with university ethical standards, avoiding plagiarism and acknowledging AI contributions to maintain academic integrity. Non-Discrimination: AI systems should be free from bias and prevent discrimination based on race, sex, or disability. Confidentiality and Security: Maintain confidentiality and security of university information. By using university approved tools Proper Use of Resources:. AI systems must be financially transparent and prevent misuse. Public's Business and Transparency: AI use in decision-making or data analysis should be transparent and auditable to comply with public record laws. Reporting Misconduct: provide mechanisms for reporting and addressing AI-related ethical violations. Climate of Care and Civility: AI applications should support a climate of care and civility, avoiding biased or hostile environments.
2.0640P	Academic Misconduct Policy	Acceptable Use: AI may only be used to complete coursework when authorized via the course syllabus or specific assignment instructions. Citation: Authorized use of AI should be properly cited in coursework.
5.0010R	Student Code of Conduct	Endangerment/Disruptive Behavior: Use of AI to cyberbully, harass, stalk, or do harm. Misuse of Technology AI should not be used to generate work for academic credit that is not the student's own. Unauthorized Collaboration: unauthorized assistance can include work generated by AI Plagiarism: Includes AI-generated content used without proper attribution. Misuse of Materials: includes AI-generated content as course materials or sharing instructor-created materials without permission. Student Rights: Address a student’s right to allow the presentation of evidence in AI misconduct cases, including their history with technology and AI tools. Sanctions: Apply existing sanctions, including forfeiture of academic credit, to cases of AI misconduct.
2.0340P	Appealing Academic Grades	Instructor's Authority: Specify the weight of AI-generated grades compared to an instructor’s judgment and clarify how instructors can contest or override AI decisions. Appeals Committee Process: Ensure the committee has expertise in evaluating AI grading methodologies
2.0670P	Undergraduate Certificate Programs	Curriculum Development: Update the curriculum to include AI-related courses or integrate AI concepts into existing courses, involving new course development and approval processes. Student Learning Outcomes: Define new learning outcomes related to AI competencies and evolve assessment methods to measure understanding and application of AI concepts. Eligibility and Prerequisites: Adjust eligibility criteria and prerequisites for AI courses to ensure students have the necessary background knowledge. Coursework and Residency Requirements: Consider distance learning opportunities for AI courses while maintaining the requirement for completing at least 50% of coursework in residence. "Good Standing": Apply the same academic requirements to students taking AI courses, ensuring their performance in AI-related courses does not jeopardize their standing. Certificate Conferral: Highlight AI-related certificate programs on transcripts, ensuring the Registrar accounts for this in printing and conferring completion documents.
2.0720P	Graduate Certificate Programs	Curriculum Design: Update the curriculum to include new AI courses and integrate AI concepts into existing courses. Course Prerequisites: Define new prerequisites for AI courses, ensuring students have the necessary background in programming, mathematics, or relevant fields. Transfer of Credits: Review policies for transferring credits, especially for AI courses from other institutions, and determine their applicability towards certificate requirements. Program Requirements: Revisit the requirement for completing at least 50% of coursework in residence, considering if online AI coursework should be included. New Certificate Programs: Develop new certificate programs in AI-related areas like Artificial Intelligence, Machine Learning, or Data Science. Academic Standards: Apply the same academic standards to students in AI-related coursework as those for degree-seeking students.
2.0020P	Patents, Copyrights and Other Intellectual Property	Clarity: Explicitly include AI-related terms in definitions of "Invention" and "Work" for greater clarity, with examples like AI algorithms, models, and data sets. Specific Challenges: Address unique AI intellectual property challenges, such as: Ownership of data sets used to train AI models. Ownership of AI-generated content. Role of open-source AI tools and libraries in determining ownership. Ethical implications of AI development and deployment. Faculty Concerns: Consider changes related to AI in the context of existing collective bargaining agreements with faculty.
2.0800P	Faculty Syllabus	Syllabi will include a statement about acceptable use of AI in the course.

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