Aligning with
Existing Policies
Designing an Effective AI Policy for Grades 6–12. Integration over isolation: how to bridge your AI framework with current integrity, privacy, and technology codes.
Learning Outcomes
Explain why AI policy should extend current frameworks rather than stand alone.
Identify core policies for review (AUP, integrity, privacy, procurement).
Recognize common conflicts, gaps, and redundancies in policy integration.
Draft an alignment statement connecting AI guidance to the school landscape.
“A school does not need an entirely separate policy universe for AI. It needs a clear framework that extends and updates expectations already found in existing policies.”
AI Policy as a Bridge
AI policy should not duplicate every rule from scratch. Instead, it should clarify how AI changes the application of your existing standards.
Academic Honesty
Clarify language about unauthorized use, disclosure, and misrepresentation.
Acceptable Use (AUP)
Define appropriate tool monitoring, prohibited uses, and approved platforms.
Privacy Policy
Add explicit rules about entering sensitive student data into unvetted systems.
Procurement
Account for AI-specific accessibility, transparency, and data concerns.
Where Misalignment Causes Problems
Policy Conflicts
New AI guidelines allowing brainstorming conflict with an old honor code that defines all AI help as plagiarism.
Mixed Enforcement
Administrators treat AI issues differently based on which document they grab—producing inconsistent responses.
“Misalignment makes policy harder to explain and easier to challenge.”
Policy Review Checklist
| Existing Policy Area | AI Alignment Goal |
|---|---|
| Honor Code / Plagiarism | Integrate definitions for “unauthorized assistance” and “misrepresentation.” |
| Student AUP | Ensure AI tool access aligns with filtering and account security rules. |
| Staff Tech Use | Clarify faculty responsibilities regarding human oversight and grading. |
| Vendor Review | Update vetting to include AI model training and data retention clauses. |
| Discipline Procedures | Support fair due process when detection reliability is questioned. |
Sustainable Writing
The goal is not to write the same rule five times. The goal is to make the policy landscape coherent.
Writing Move: Cross-Reference
“Instead of rewriting your plagiarism code, add: ‘For specific examples of how these integrity standards apply to generative AI, see Section 3 of the AI Guidance Framework.'”
Governance Principles:
- Update older policies where AI creates logic gaps.
- Use shared vocabulary across all documents.
- State which policy governs if a conflict appears.
Alignment Scenarios
The Handbook Conflict
New AI guidance allows brainstorming, but the old handbook defines all AI help as plagiarism. Students are trapped between a supportive teacher and a rigid discipline code.
The Privacy Gap
A district publishes a student AI use framework but fails to update vendor review. Staff use tools that mine student data because no one clarified approval workflows.
The Siloed Response
One principal treats AI misuse as a discipline issue; another treats it as a learning gap. Without a shared pathway, families experience inconsistent justice.
The Coherent Model
A district updates AUP, Honor Code, and AI guidance simultaneously. All documents use shared terms and link to each other, building a unified policy culture.
Draft Your Alignment Statement
How will your AI policy align with existing academic integrity and technology policies? Identify at least one place where current policy language may need updating or clarification.
