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Schools do not have to choose between unrestricted AI use and a blanket ban. A better starting point is to define what students are meant to learn, decide whether AI fits each activity, make the rules explicit, and review access, privacy, and safety before adopting a tool. That approach leaves room for useful applications while preserving teachers’ judgment and students’ responsibility for their work.
Why a blanket ban leaves important questions unanswered
A general prohibition does not tell students what counts as acceptable help, how to acknowledge AI assistance, or why a particular task should be completed without it. It can also overlook differences in students’ personal access: TeachAI cautions that restricting school access while some students can use AI elsewhere may widen a digital divide. This is a policy consideration, not a universal legal rule.
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TeachAI’s school guidance says education systems should evaluate student access rather than default to general bans. Its point is not that every student should use every tool. Schools still need to consider age restrictions, privacy, security, curriculum fit, and learning goals. Decisions should reflect local values and legal frameworks—not vendor defaults alone.
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Before approving a tool or setting a rule, ask: “How does our guidance highlight the purposeful use of AI to achieve our shared education vision and goals?” TeachAI uses this question to prompt schools to connect AI decisions to their aims, rather than treating adoption as an end in itself.
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Connect the use to a specific goal
Identify what the activity is designed to develop or accomplish. Depending on the task, AI might support a learning activity, staff or student well-being, or administrative work. Then decide whether using it serves that purpose. If students need to practise a skill independently, AI assistance may undermine the task; if they are evaluating AI output, using it may be central to the learning goal.
Make the decision locally
School systems differ in their legal obligations, community priorities, curricula, and students’ needs. TeachAI advises local evaluation and legal review. Its principles are guidance for decision-making, not jurisdiction-independent legal advice or a substitute for checking applicable rules.
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Review safeguards before students use a tool
A tool’s usefulness for one activity does not settle whether it is appropriate for a school or learner. Review the relevant conditions together, and consult current terms and local requirements before use.
- Age and consent: Check the tool’s current age restrictions, terms of use, and consent requirements. TeachAI specifically recommends reviewing the user agreement; requirements can vary by tool and jurisdiction.
- Privacy and security: Determine what information students or staff might enter and whether the tool’s terms and school requirements permit that use. Do not assume a vendor’s default settings satisfy local obligations.
- Access and equity: Consider who can use the tool, on what devices, and under what conditions. A rule that assumes every student has the same access may work differently in practice.
- Accuracy, bias, and transparency: Decide how users will check output and whether limitations or system behavior are sufficiently understandable for the activity.
- Human decision-making: Establish where an educator must review or make the final judgment, rather than delegating an educational decision to an AI system.
These are decision points, not a guarantee that any tool is safe or suitable. UNESCO’s summary of its Futures Dialogue, held October 22, 2025, describes concerns raised about opaque systems, possible cognitive dependency, and AI that can mirror a user’s expectations while giving inaccurate or misleading responses. Those concerns were discussed at the dialogue; they are not quantified findings about every AI tool or classroom.
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Set clear rules for each assignment
A school-wide statement can establish shared principles, but students also need to know what those principles mean for the work in front of them. TeachAI asks whether guidance sufficiently covers academic integrity, plagiarism, and proper attribution. Assignment instructions can make those expectations concrete.
- State whether AI use is prohibited, permitted for specified purposes, or expected as part of the activity.
- Identify which forms of assistance are allowed—for example, if permitted, idea generation or feedback—and which are not. The teacher should define the boundaries for the specific assignment.
- Explain whether students must disclose or acknowledge AI use, and what information they should provide.
- Clarify that students remain responsible for checking claims and submitting work that meets the assignment’s requirements.
These distinctions help avoid treating every use as either harmless or misconduct. The same tool can be inappropriate for an independent assessment and useful in an activity designed to examine how AI responds. The learning objective should determine the rule.
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Build AI literacy through discussion, not just tool practice
Knowing how to operate an AI tool is only part of AI literacy. UNESCO’s Futures Dialogue account describes a broader view that includes social and human dimensions, such as empowerment and child and human rights, alongside technical proficiency. It also reports calls for teachers to lead and co-create policy and curriculum, with students and communities helping shape AI governance and use.
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Classroom discussion can make unclear expectations visible before they become conflicts. The Center for Digital Thriving at Harvard Graduate School of Education describes free classroom practices for grounding discussion in values, surfacing hidden use and pressures, mapping gray areas, reflecting on AI experiences, and building shared language.
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One useful starting question is: “What kinds of AI help fit this task, and what kinds would prevent you from practising what you are meant to learn?” Students and teachers can then identify uncertain cases, discuss what should be disclosed, and agree how to handle them. The point is not to force consensus on every edge case; it is to make expectations discussable and understandable.
The Center’s page describes a report drawing on a nationally representative survey of more than 1,000 U.S. public school teachers and principals, as well as interviews with educators and 31 young people. It reports that 74% of teachers and 69% of principals who had experienced an AI-related dilemma described something cheating-related. The page, accessed October 7, 2026, does not display the report’s publication year, so these figures should not be treated as a dated trend or as percentages of all teachers and principals.
Evaluate outcomes without claiming more than the evidence shows
Schools can review whether a policy is workable and aligned with its goals: Are students clear about permitted use? Can teachers apply the rules consistently? Are access and safeguard concerns being addressed? Are students still doing the learning the activity is meant to support? Those questions can guide local review, but they do not establish that AI improves learning in general.
UNESCO’s account of the October 2025 dialogue says there is no shared framework or consensus on what counts as valid independent evidence of AI’s impact in learning environments. The educational effectiveness of AI should therefore not be treated as settled. The summary also attributes this caution to Wayne Holmes: “Until we know, we’re effectively experimenting on children,” a warning he made in the context of classrooms adopting AI without sufficient understanding of long-term consequences.
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