Artificial Intelligence Policy
Faculty and Academic Use of AI
The full University AI Policy can be found in the Catalog.
Course design and instructional materials
Faculty may use approved AI to assist with brainstorming, examples, outlines, question banks, rubrics, simulations, accessibility drafts, and content review when the use supports course and program outcomes. Faculty must independently evaluate accuracy, currency, level, inclusivity, accessibility, source integrity, copyright, and alignment before student use.
- Material AI-generated course content must be reviewed and revised by qualified faculty. It must not be presented as authoritative merely because it is fluent or polished.
- Faculty may not upload restricted student information, identifiable student work, unpublished scholarship, publisher materials, answer keys, or confidential institutional content into an unapproved tool.
- Required AI tools must be approved, reasonably accessible, compatible with accommodations, and accompanied by an alternative when a student cannot lawfully or accessibly use the tool.
- Faculty should teach students how AI may fail, how to verify it, how to disclose it, and how responsible use connects to the discipline and profession.
Feedback and grading
AI may assist with drafting feedback, organizing rubric evidence, or identifying patterns only in an approved environment and under active faculty supervision. Faculty must review the underlying work and make the final evaluative judgment. AI may not independently assign a final grade, make a pass/fail decision, determine competency, or issue substantive feedback without faculty review.
Faculty-student interaction
AI-generated announcements, reminders, tutoring, or responses may supplement but not replace required and meaningful faculty interaction. Faculty must remain identifiable, available, responsible for the course, and substantively engaged in teaching, feedback, discussion, and student support. Automated activity alone does not establish instructor interaction.
Faculty scholarship and professional work
Faculty are responsible for originality, accuracy, authorship, disclosure, research integrity, professional standards, and publisher or sponsor requirements. AI may not be listed as an author, and generated citations, analyses, data, and images must be verified and disclosed as required.
Appendix A. Course AI Use Designations
Faculty should select and communicate the designation that best preserves the learning outcomes for each course or assignment. A designation does not override approved accommodations, program rules, or a stricter legal, clinical, sponsor, or accreditation requirement.
| Designation |
Student rule |
Appropriate use |
| Prohibited |
Students may not use generative AI for the identified course or assignment except an approved accommodation or expressly permitted assistive function. |
Use when independent performance is essential to the learning outcome and AI would invalidate the assessment. |
| Limited or permission-based |
AI may be used only for the activities, tools, stages, or purposes expressly listed by the instructor. Material use must be disclosed.
|
Use when selected AI support is pedagogically useful but core work must remain independently produced. |
| Permitted with disclosure |
Students may use AI as a learning or production aid, but must follow attribution, verification, privacy, and process requirements and disclose material use. |
Use when critical evaluation and responsible AI use are part of the learning design. |
| Required or structured |
The assignment requires specified AI use, comparison, critique, documentation, or reflection. The instructor defines approved tools and evidence of process. |
Use when AI competence is an explicit learning objective. |
Model syllabus statement
Course AI expectations
The use of artificial intelligence in this course is governed by the AI designation and assignment instructions provided by the instructor. Students must use only permitted tools and purposes, protect confidential information, verify all output and sources, disclose material AI use, and remain able to explain and defend the submitted work. When instructions are silent, AI may support brainstorming or study but may not generate or materially rewrite work submitted for credit.
Appendix B. AI Use Disclosure
When disclosure is required, the instructor may prescribe a format. A complete disclosure ordinarily includes:
- Tool and, when known, model or version.
- Date or period of use.
- Purpose of use, such as brainstorming, outlining, coding support, translation, feedback, data analysis, or image generation.
- How the output was checked, changed, rejected, cited, or incorporated.
- Any instructor-required prompt or output record, provided that the record does not disclose restricted or third-party confidential information.
Sample disclosure
Example: I used an approved generative AI tool to brainstorm possible structures for the literature review. I independently located and read the cited sources, rejected unsupported suggestions, and wrote the final analysis in my own words. I retained the prompt and output as required and the submitted work reflects my own understanding.