1. AI Policy Usage Guidelines

Define responsible use

Districts need clear, forward-looking guidance on how AI should be used across instruction, operations, and student engagement. While many districts cite existing Acceptable Use Policies (AUPs) as starting points, strong AI policies go further by articulating purposeful use cases aligned to district goals, not just what’s “allowed.”

Instructional uses:

• Lesson planning and curriculum development
• Personalized feedback and assessment creation
• IEP drafting and special education support
• Content differentiation and enrichment activities

Operational uses:

• Streamlining administrative communication
• Grant writing and proposal development
• Meeting summary and documentation
• Policy and procedure drafting

Student-facing applications (with appropriate guardrails):

• Brainstorming and ideation support
• Writing assistance and editing feedback
• Research guidance and source evaluation
• Creative project development

All implementations should maintain educator discretion and human oversight as core principles.

Clear boundaries protect everyone

Well-communicated boundaries reduce fear and misuse while protecting instructional integrity, academic honesty, and student safety. Strong AI policies proactively name the “red lines” to protect instructional integrity, academic honesty, and student safety.

We recommend prohibiting:

• AI-driven grading or disciplinary decisions without human review
• Inputting Personally Identifiable Information (PII) into unvetted platforms
• Facilitating academic dishonesty or bypassing learning objectives
• Unmonitored student AI access, particularly in elementary grades
• AI-generated content in state assessments or final evaluations