A child who understands artificial intelligence stays in control of it. We give every young person that understanding — free, safe, and built to keep the human in the loop.
This is the first generation to grow up inside AI. How they learn to live with it now becomes the default for the rest of their lives.
AI should expand what a young mind can do — never replace the judgment behind it. We teach children to direct the tool, not defer to it.
Understanding AI is no longer a technical skill — it's basic protection, like learning to cross the road. A child who can reason about AI is safer in it.
The habits this generation forms with AI are being set right now. Wait too long, and we inherit defaults nobody chose. So we start today.
Most stories about young people and AI offer two endings: fear it, or surrender to it. We reject both. The ampersand is a third way — partnership, with the human firmly in the lead.
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No track record to dress up — just a clear plan and the conviction to deliver it. These are our four founding pillars, in development now.
Classroom-ready lessons for primary and secondary schools — technical fundamentals alongside creativity, critical thinking and ethics. Fully aligned to safeguarding best practice.
Confident teachers raise confident kids. We train the adults first — plain-language guidance and ready-to-use materials, so no educator is left improvising.
Webinars, family workshops and plain-English guides that reach beyond the classroom — because a child's relationship with AI is shaped at home, too.
A voice for children's interests in how AI is built and governed. The people who will live with these systems longest deserve a seat at the table.
There's no plaque with your name on it yet. There's something better: the chance to shape what this becomes from the very first day.
Educators, AI experts, writers and organisers — lend the skills we're building around.
Help set our ethical guardrails and educational direction at the foundational stage.
Organisations and early donors who want to fund AI literacy before it's mainstream.