Blog

▪ Understanding AI’s benefits, risks, and limits is key to meaningful adoption in education.
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▪ Digital literacy and daily tech use are essential for all school stakeholders.
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▪ Structured time is needed to teach critical, ethical, and effective AI use.

▪ A unified, institution-wide AI policy must be clearly communicated to all stakeholders.
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▪ Policies should address safeguarding, data privacy, security, IP, bias, and equity.
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▪ Staff and students should model safe, inclusive AI use and contribute to ongoing policy updates.

▪ Robust infrastructure and integrated data systems are essential for strategic AI use.
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▪ AI tools should be selected purposefully, with input from end users.
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▪ Purchasing decisions must include plans for training, support, and impact monitoring.

▪ AI should enhance - not replace - teaching, learning, and support roles.
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▪ It can assist with planning, admin, resource creation, and inclusive learner engagement.
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▪ AI must support a socially-led approach, with humans guiding its use for feedback and progress.

▪ Collaborative learning about AI is essential for successful implementation.
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▪ Schools should engage with staff, students, communities, and external partners to share best practice and evidence impact.
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▪ A culture of collaboration should be modelled by leaders and empower staff and students to innovate.