Schools trying to respond to AI often reach first for a rulebook. That instinct is understandable, but it is usually the wrong starting point. A workable AI policy has to begin with the school’s mission, its values, and its sense of what learning is for.
The core problem is that AI use is not uniform. What makes sense in a math classroom may not make sense in history or English. A single list of approved and forbidden uses cannot capture that complexity. Schools need a philosophy that helps educators make thoughtful judgments case by case.
Why an AI policy should start with philosophy
A policy alone is too blunt an instrument for a tool that changes by context, platform, and classroom purpose. The more granular the rule, the more attention shifts to violation instead of the learner. That is a familiar problem in school life: when rules become overly detailed, they can obscure the person and the learning process.
AI asks deeper questions than compliance. What is original thought? What is the purpose of writing instruction? What counts as authentic work? If a school cannot answer those questions, a policy will not solve the problem.
Trust comes before speed
Change takes time. A school that wants a durable AI policy has to build educator trust before it can move quickly. That means identifying early adopters, creating space for experimentation, and letting trusted teachers model practice for their peers.
A deliberate rollout is not the same as hesitation. It is a way to make change stick. When teachers understand the purpose behind the approach, families are more likely to trust it too.
Protect relationships, not just rules
The real test of any AI policy is whether it strengthens or weakens the relationship between teacher and student. If a tool shortcuts learning, it should not be used. But if it helps a teacher gather insight, shape instruction, or support a student more effectively, it may serve the school’s mission.
That is why schools should be clear about why a tool is being used, when it is appropriate, and what learning it is meant to preserve. Students need to understand that struggle, uncertainty, and effort are part of learning, not problems to be eliminated.
Students need honest guidance on ethics
Students are not only asking whether AI works. They are asking whether it is ethical, safe, private, and aligned with their values. Schools should not dismiss those concerns. They should elevate them and complicate them.
At the same time, schools should challenge students who take hardline positions without reflection. The goal is not to force agreement. The goal is to help students examine where their beliefs come from and how to think through complexity in a changing world.
What a durable AI policy looks like
A sustainable AI policy is not a fixed chart of permitted uses. It is a living framework shaped by the community. It should:
- Reflect the school’s mission, vision, and values
- Give educators room for professional judgment
- Protect the student-teacher relationship
- Set boundaries that prevent shortcuts to learning
- Stay flexible enough to revisit as the technology changes
Schools will have to keep revisiting this work. The technology is changing too quickly for any policy to be final. But the guiding principles do not have to change: relationships matter, learning matters, and schools must help students become thoughtful, resilient, and capable of handling complexity.
That is the real work of an AI policy. Not control for its own sake, but a shared way of deciding how to use a powerful tool without losing sight of what education is for.
Frequently Asked Questions
Why not create a strict AI rulebook for schools?
Because AI use varies by classroom and purpose, and overly detailed rules cannot cover every situation. A philosophy gives educators room to judge case by case.
What should schools prioritize before rolling out AI?
They should build trust with educators first, identify early adopters, and make sure the approach is tied to the school’s mission and values.
How should schools respond to students who raise ethical concerns about AI?
They should take those concerns seriously, discuss the ethics openly, and also challenge students to examine where their views come from and how they handle complexity.
What matters most in an AI policy?
Protecting learning and the student-teacher relationship. If a tool shortcuts learning, it should not be used.
For more context, listen to the original episode of Margin of Thought with Priten: How Might Schools Make Sustainable AI Policies? – Joel Sohn.