The Mississippi Artificial Intelligence Network (MAIN) published three coordinated education resources on August 11, 2026: the Faculty AI Playbook, the Student AI Playbook, and the AI + Dual Enrollment Guide.
Released as Mississippi colleges and schools prepare for the fall semester, the resources are designed to help faculty, students, and institutional leaders replace vague rules about artificial intelligence with clear expectations for specific assignments and activities. All three resources are free to access on the MAIN website.
The publications are designed to work together. The Faculty and Student AI Playbooks use the same four permission levels—AI required, AI permitted, AI limited, and AI prohibited—so instructors and students can use a shared vocabulary when discussing appropriate AI use. The AI + Dual Enrollment Guide extends that work to courses in which college academic requirements and K–12 responsibilities may apply to the same student.
One shared framework for assignment-level decisions
A single course may require different approaches to AI for different activities. An instructor might prohibit AI during a diagnostic assessment, permit it during review, limit it to a defined revision task, or require it for an assignment intended to teach an AI-assisted workflow.
The four permission levels give instructors a concise way to communicate those differences. They also give students a consistent starting point for determining what is allowed, what must be disclosed, and when they should ask for clarification.
Faculty AI Playbook
The Faculty AI Playbook is organized around decisions instructors make when planning courses and assignments. It includes:
- A decision map for evaluating possible AI uses
- Guidance for writing assignment-level AI expectations
- Approaches to assessment when students have access to generative AI
- Considerations involving student information, accessibility, copyright, and research
- Guidance on placing human review within AI-assisted workflows
- Planning and review checklists
The playbook is a planning resource, not a mandate. Faculty members and institutions should adapt its recommendations to their own courses, policies, technologies, and legal obligations.
Student AI Playbook
The Student AI Playbook helps students decide whether and how to use AI for a particular task. It includes a five-question appropriateness check and practical workflows covering:
- Explaining and questioning course material
- Practice and retrieval
- Brainstorming and revision
- Research support
- Coding and data work
- Career preparation
The playbook also explains how students can verify AI-generated claims, sources, calculations, data, and code. A before-you-submit checklist reinforces that students remain responsible for the accuracy, originality, and integrity of work submitted in their names.
AI + Dual Enrollment Guide
The AI + Dual Enrollment Guide addresses courses in which students participate in college-level instruction within a K–12 setting. It is intended for community college administrators, high school leaders and counselors, dual enrollment coordinators, and instructors teaching dual enrollment or dual credit courses in Mississippi.
The guide includes:
- A responsibility matrix for participating institutions
- Guidance for resolving inconsistent or unclear AI expectations
- Separate treatment of AI use, AI-detection tools, and academic misconduct processes
- Student privacy and protection considerations
- Course and assignment templates
- Readiness checklists and recommendations for orientation and periodic review
The guide encourages institutions to establish student protections and review requirements before requiring the use of an AI tool. It also recommends evaluating learning through visible evidence of student work rather than relying on AI-detector output as proof of misconduct.
Using and adapting the resources
MAIN publishes these resources as planning frameworks and drafting aids. They are not statewide mandates or substitutes for institutional policy, legal review, accessibility review, or professional judgment. Institutions remain responsible for determining which recommendations apply and for communicating their final expectations to faculty, students, and families.
Some portions of the Faculty and Student AI Playbooks may also inform K–12 practice, but any K–12 use should receive age-appropriate review and be evaluated against applicable institutional policies, student protections, and tool-eligibility requirements.
Access the resources
- Read the Faculty AI Playbook
- Read the Student AI Playbook
- Read the AI + Dual Enrollment Guide
- Explore all MAIN AI Playbooks
About MAIN
The Mississippi Artificial Intelligence Network (MAIN) is Mississippi’s statewide AI initiative, coordinated through Mississippi Gulf Coast Community College. MAIN develops practical resources and connects Mississippians with opportunities to understand and use artificial intelligence responsibly. Learn more at mainms.org.
Media inquiries: Contact MAIN.