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School District AI Policy Template

What should a school district AI policy say?

Most free district AI policies are about catching students. This one starts from student data and takes the position the others avoid: no student is disciplined on an AI detector score alone.

Detectors return a probability, not a finding of fact, and their error rates are higher for students who are not native English speakers. Writing that sentence into policy protects the student who did nothing wrong and the teacher who would otherwise have to defend an unfalsifiable accusation to a parent.

No email, nothing stored. Replace every bracketed placeholder, and have your district's counsel read it against your state's student privacy law before adoption.

1. Purpose and scope

1.1 This policy governs the use of artificial intelligence by students, staff and contractors of [District], on district devices and accounts and on personal ones where the work is district work.

1.2 It is written to make AI usable rather than forbidden. Students will encounter these tools for the rest of their lives, and a district that only prohibits teaches nothing except how to hide. Where this policy says no, it says exactly what and exactly why.

2. Student data comes first

2.1 Student personally identifiable information is not entered into any AI tool that has not been approved by [District] under a written agreement. This includes names, student identifiers, grades, attendance, discipline records, health and special education information, and anything else that would be an education record.

2.2 Under FERPA, a vendor may only receive education records where a recognised exception applies and the district retains direct control over the data and its further use. A free consumer tool with terms nobody negotiated does not meet that.

2.3 For any service used by students under thirteen, COPPA obligations attach and verifiable parental consent or a lawful school-consent route must be in place before use, not after.

2.4 Before approving any tool, [District] establishes in writing: whether student input trains the vendor's models, how long input is retained, which subprocessors receive it, whether a human at the vendor can read it, and how data is deleted when the contract ends.

3. Approved tools

3.1 Only tools on the [District] approved list may be used with students or with student data. The list names the tool, the grade bands it is approved for, and what it may be used for.

3.2 Staff may request additions. Requests are answered within [ten] school days, because an approval process slower than a lesson plan guarantees teachers use something else.

3.3 AI features that arrive switched on inside software the district already licenses are treated as new tools and reviewed before use, not grandfathered in because the vendor is familiar.

4. Academic integrity, stated so a student can follow it

4.1 Each assignment states which of three categories it falls into, and the teacher sets the category in advance: AI NOT PERMITTED, AI PERMITTED WITH DISCLOSURE, or AI ENCOURAGED.

4.2 Where AI is permitted with disclosure, the student states what tool they used and for what. A brief note at the end is enough. Honest disclosure is never itself penalised.

4.3 Silence from a teacher defaults to AI NOT PERMITTED for graded work. Ambiguity is the district's failure rather than the student's, so a teacher who did not state a category cannot treat unstated use as a violation.

4.4 Students remain responsible for everything they submit, including its accuracy. Submitting AI output containing invented sources or false claims is an integrity matter whether or not AI was permitted.

5. AI detectors do not decide anything

5.1 No student will be disciplined, given a reduced grade, or recorded as having violated this policy on the basis of an AI detection tool's output alone.

5.2 Detectors return a probability, not a finding of fact, and their error rates are higher for students who are not native English speakers and for students who write in an unusual register. Treating that output as proof punishes exactly the students least able to contest it.

5.3 Where a teacher has a concern, the process is a conversation. Ask the student to talk through their draft, their sources and their choices. A student who did the work can almost always discuss it, and that conversation is both fairer and more reliable than any score.

5.4 A concern is documented with what the teacher observed, never with a screenshot of a detector percentage as the substance of the allegation.

6. Staff use, and the decisions AI does not make

6.1 Staff may use approved AI for planning, drafting, differentiating materials, and administrative work, with student personal information excluded under section 2.

6.2 AI does not determine a grade. It may support feedback, and the professional judgement and the final mark belong to the teacher, who must be able to explain them.

6.3 AI is not used to make or substantially determine decisions about identification for special education, discipline, placement, or promotion and retention. A human makes those decisions and records the reasons.

6.4 Illinois districts: from 1 January 2027, state law restricts AI in public-school teacher evaluations and requires disclosure and human judgement in evaluation decisions. Confirm your own state's position before AI touches any staff evaluation.

7. AI is not a counsellor

7.1 No AI system is offered or presented to students as counselling, therapy, or mental or behavioural health care, and no AI substitutes for a school counsellor, psychologist or social worker.

7.2 Nevada prohibits AI performing those functions and bars AI therapist representations, with civil penalties, and a growing number of states restrict AI in mental health services. Confirm your own state before any wellbeing tool is considered.

7.3 Any AI tool available to students that could receive a disclosure of distress must surface a route to a human and to crisis support. If a tool cannot demonstrate that behaviour, it is not approved for student use.

7.4 Staff who become aware of a student in crisis follow the district's existing safeguarding process. No AI tool changes who is responsible.

8. Accessibility

8.1 Where AI functions as an accommodation, including text to speech, speech to text, translation, summarising and organisational support, it is permitted and its use is not a disclosure requirement under section 4.

8.2 Nothing in this policy is applied so as to remove a tool a student depends on to access the curriculum. Where an assignment prohibits AI, the teacher provides an equivalent route for students whose accommodation includes these tools.

9. Telling families

9.1 [District] publishes the approved tool list and this policy where families can find them, and notifies families before a new category of AI use begins with their children.

9.2 Families may ask what tools their child uses, what data those tools receive, and how to raise a concern. The answer is provided in plain language and in the family's language where practicable.

10. Review

10.1 This policy is reviewed each semester and whenever the approved list, a vendor's terms, or state law changes materially. Owner: [name and role]. Last reviewed: [date].

10.2 This is a starting draft rather than legal advice, and adopting a policy is not the same as complying with anything. Have it reviewed by your district's counsel against your state's student privacy law and your existing agreements before adoption.

The three clauses to keep if you change everything else

Section 2, because student data is the one mistake that cannot be undone by apology. Section 4, because per-assignment categories are the only version of academic integrity a fourteen year old can actually follow, and because defaulting silence against the district rather than the student is what makes it fair. Section 5, because a detector score is not evidence and a policy that permits it to be treated as evidence will eventually be used against a student who did nothing.

Questions districts ask

Should schools use AI detectors on student work?

Not as the basis for any consequence. Detectors return a probability rather than a finding of fact, and their error rates are higher for students who are not native English speakers and for students who write in an unusual register, so acting on the score punishes the students least able to contest it. The workable alternative is a conversation: ask the student to talk through their draft, their sources and their choices. A student who did the work can almost always discuss it, and that is both fairer and more reliable.

Can teachers put student data into ChatGPT?

Not into a tool the district has not approved under a written agreement. Student personally identifiable information, including names, identifiers, grades, discipline records and special education information, is an education record. FERPA permits a vendor to receive education records only where a recognised exception applies and the district keeps direct control over the data and its further use, and a free consumer tool with unnegotiated terms does not meet that. For services used by children under thirteen, COPPA obligations attach as well.

What should a school AI policy say about cheating?

It should make the rule visible per assignment rather than per district. Three categories work: AI not permitted, AI permitted with disclosure, and AI encouraged, with the teacher stating which one applies in advance. Silence should default to not permitted for graded work, and the ambiguity should count against the district rather than the student. Honest disclosure should never itself be penalised, or students learn that the safe move is to hide it.

Can AI be used as a school counsellor or for student mental health?

No. Nevada prohibits AI systems from providing professional mental or behavioural health care, bars AI therapist representations, and restricts AI performing school counsellor, psychologist and social worker functions, with civil penalties. Other states have legislated in the same direction. Beyond the law, any tool students can reach must surface a route to a human and to crisis support when someone discloses distress, and a tool that cannot demonstrate that behaviour should not be approved for student use.

Do students need to disclose when they use AI?

When the assignment says so, and the assignment should always say. A brief note of what tool was used and for what is enough. The important part is that disclosure is never itself punished, because the moment honesty carries a penalty the policy stops producing honesty and starts producing concealment.

For families, and for staff

The companion app check is written for parents and lists every state law now governing companion chatbots and AI in mental health. Real or AI is the fastest way to show a staff meeting why section 5 exists, because most people score near chance and discover it on themselves.

A starting draft, not legal advice, and adopting a policy is not the same as complying with anything. State student privacy law varies and is moving. Where this template names a state it is drawn from our verified 50-State AI Law Atlas; everywhere else it prompts you to check rather than asserting an answer.