• What are the biggest risks AI presents for schools?
• Lessons learned so far from the Big AI Project, which equips schools with the skills they need to approach an AI-infused world safely, ethically and strategically
• Signposting to free resources and AI support
• How to develop a sustainable AI strategy
• Lessons learned from an early adopter
• Risks and opportunities of AI in schools
• How to use AI to adapt formative classroom assessments such as multiple choice quizzes, think-pair-share, debates, and exit tickets
• How to use AI to adapt summative assessments such as exams, essays, onscreen tests, presentations, and practicals
• Ensuring AI is used accurately without lowering the bar
• Why the build-versus-buy decision is rarely binary – and a third option many overlook
• Practical considerations: Data protection, safeguarding, staff/union engagement, integration with existing CPD
• An honest view on costs, risks, and trade-offs
• What do students want to be taught about AI?
• Age-appropriate assemblies and lessons
• Showing students which AI tools might be relevant to them
• Building an AI curriculum from key stage 1 to 5
• Curriculum sequencing advice and examples
• Lessons learned from the Three Spires Trust
• Helping students to use AI in a safe and developmentally appropriate way
• Helping students to avoid becoming over-reliant on AI
• How emotional intelligence sits alongside AI in our curriculum
• How to use Department for Education AI and digital standards to help cut through the sales spin in a crowded marketplace
• Producing a robust AI procurement strategy that asks sharper questions about impact, data and compliance
• Leave with a practical checklist to support safe, evidence‑informed AI choices
• Creating an AI culture that moves from seeing it as a shortcut to seeing it as a tool for higher thinking
• What effective CPD for AI in education looks like
• How to bring families into the AI conversation
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