Beyond the filter: governing AI interactions in schools
Filtering and monitoring were built for websites. Generative AI conversations are a different kind of risk — and schools need a different kind of response.
With Mark Orchison (CEO & Founder, 9ine), Dan Fitzpatrick (The AI Educator · Co-host) & Julia Pidduck (Principal Consultant, 9ine)
Reserve your place
Traditional filtering was designed to block harmful websites. It wasn't designed for a world where pupils and staff hold open-ended conversations with AI — conversations that can go in directions no URL blocklist anticipates.
This session looks at what generative AI actually means for digital safety and safeguarding in schools: the risks that filtering doesn't catch, why staff AI use and student AI use demand different oversight, what a realistic incident-response process looks like, and where vendor accountability ends and school accountability begins.
Why attend
Understand the safeguarding risks generative AI introduces that traditional filtering tools were never designed to catch — and what schools need to put in place instead.
Get a clear framework for governing staff AI use and student AI use differently, because the risks, responsibilities and oversight requirements are not the same.
Leave with a realistic incident-response process and the right questions to put to your AI vendors about where their accountability ends and yours begins.
Your speakers
Mark Orchison
Over 20 years' experience helping schools navigate technology, cyber, privacy and safeguarding — a highly respected voice in K-12 education governance.
Dan Fitzpatrick
Bestselling author of The AI Classroom, Forbes contributor, and award-winning strategist who has helped over 100,000 educators worldwide navigate AI responsibly.
Julia Pidduck
Specialist in AI and EdTech vendor assessment — helping schools evaluate tools across safeguarding, security, educational value, privacy and data protection.
What to expect
A breakdown of the safeguarding risks generative AI creates that website filtering and content monitoring were never built to handle.
A practical framework for thinking about staff AI use and student AI use differently — where the responsibilities diverge and why it matters for oversight.
What a realistic, school-ready incident-response process looks like when something goes wrong in an AI interaction.
A clear picture of where vendor accountability ends and school accountability begins — and the questions you should be asking EdTech providers right now.
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