Jackson State University has defined AI policies across 10 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 manuscript preparation, 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.
Faculty can use these icons in their syllabi to convey their expectation regarding AI use on course assignments.
Download AI Use Icons Here: No Generative AI Allowed | Caution: Limited Generative AI Allowed | Generative AI Permitted | Generative AI Suggested
This icon signifies that the assignment strictly prohibits the use of generative AI tools. Students must complete the work independently, ensuring that their submissions are entirely original and manual without generative AI assistance.
This icon indicates that generative AI tools can be used, but only within specific, limited contexts. Students should follow detailed guidelines to ensure compliance, such as using AI only for brainstorming or grammar checks, not for content creation.
This icon represents that the ethical use of generative AI tools is fully allowed in the assignment. Students can leverage AI to assist in writing, research, and problem-solving, provided they cite the tools they have used where appropriate.
This icon recommends the use of generative AI as a beneficial
• Using information or devices that are not allowed by the faculty; such as using formulas or data from a home computer program, or using unauthorized materials for a take-home exam;
• Violating procedures prescribed to protect the integrity of an assignment, test, or other evaluation;
Faculty can use these icons in their syllabi to convey their expectation regarding AI use on course assignments.
AI use not permitted
— constitutes academic misconduct
This icon indicates that generative AI tools can be used, but only within specific, limited contexts. Students should follow detailed guidelines to ensure compliance, such as using AI only for brainstorming or grammar checks, not for content creation.
This icon recommends the use of generative AI as a beneficial
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Students can leverage AI to assist in writing, research, and problem-solving, provided they cite the tools they have used where appropriate.
AI use encouraged
for specific purposes (with
documentation)
AI use allowed
if clearly distinguished from original
work
AI use not permitted
— constitutes academic misconduct
Academic
Instructors:
plagiarism,
cheating,
academic
dishonesty, etc.
The Division of Academic Affairs
• Submitting material that is not yours as part of your course performance, such as copying another student’s course work, assignment and examor allowing a student to copy from you.
• Using information or devices that are not allowed by the faculty; such as using formulas or data from a home computer program, or using unauthorized materials for a take-home exam;
Faculty can use these icons in their syllabi to convey their expectation regarding AI use on course assignments.
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Four expert-led sessions (1-2 hours each via Zoom) covering AI foundations, ethics, assessment design, and practical integration. Complete accompanying work in Canvas at your own pace.
Intensive collaborative work to transform one of your courses with meaningful AI integration. You’ll be paired with an AI Tiger mentor and leave with a redesigned course ready for fall.
Grammarly AI Premium is available only to Graduate Students, Research Students, and Faculty.
Access is limited and must be requested.
Access university-specific policies and recommendations for responsible AI use in academic contexts. Review best practices for protecting student data and ensuring equity.
Access university-specific policies and recommendations for responsible AI use in academic contexts. Review best practices for protecting student data and ensuring equity.
Four expert-led sessions (1-2 hours each via Zoom) covering AI foundations, ethics, assessment design, and practical integration. Complete accompanying work in Canvas at your own pace.
Intensive collaborative work to transform one of your courses with meaningful AI integration. You’ll be paired with an AI Tiger mentor and leave with a redesigned course ready for fall.
Teach your transformed course with ongoing community support. Share what works, troubleshoot challenges, and contribute to JSU’s growing AI teaching knowledge base.
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.
Jackson State University has defined AI policies in 10 of 12 categories, with an overall coverage score of 83%.
Where AI use is permitted or encouraged, Jackson State University requires or expects documentation, clear distinction from original work, and citation where appropriate. The university's assignment-level AI materials state that permitted AI use should be cited, and workshop materials frame documentation and distinguishing AI from original work as policy options.
The university materials provided do not state a formal AI detection-tool policy. For enforcement, Jackson State treats prohibited AI use as academic misconduct in faculty policy guidance, and the student handbook directs reports of plagiarism, cheating, and academic dishonesty to Academic Affairs while defining cheating broadly as submitting work that is not your own or using unauthorized tools or materials.
Jackson State University identifies an institutionally controlled AI platform by offering Grammarly AI Premium only to specified groups and requiring approval to access it. The faculty AI hub also refers users to institutional guidance for protecting student data and equity. However, the provided sources do not define detailed data-classification rules or a broader prohibited-platform list.
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