AI Constitution

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Education Concept Tracker

A prerequisite knowledge graph of 1590 learning concepts across 8subjects. Track what you've mastered and see exactly what you're ready to learn next — the topics whose prerequisites you've already met. Built on the Marble Open Skill Taxonomy.

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Knowledge-graph map

Computing
Mastered Ready to learn LockedHover a node for its description · click to open
Computers in Everyday L…Computers in Everyday Life — frontier Identifying computers in everyday life — not just laptops but phones, tablets, smart speakers, traffic lights, washing machines; what makes something a computerReal-World RobotsReal-World Robots — locked What a robot really is — not the sci-fi version; robots in factories, robot vacuum cleaners, robot arms in surgery; that robots follow instructions given by peopleSmart Versus Not-Smart…Smart Versus Not-Smart Devices — locked Sorting objects into 'smart' (can sense and respond) and 'not smart' (just sits there); a toaster vs a smart speaker; introduction to the idea that some machines can sense and respond to the worldStep-by-Step Instructio…Step-by-Step Instructions — locked Step-by-step instructions for everyday tasks (making a sandwich, brushing teeth); that if instructions are wrong or missing, things go wrong; computers follow instructions exactly
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The Future of AI

Computing · Artificial Intelligence · conceptual

What AI might do in 10 years; what we want it to do and what we're worried about; children as future designers and decision-makers about AI; hopeful, empowered framing

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What mastery looks like

  • Describe at least two ways AI might be used in the future that don't exist yet
  • Explain one thing they would want AI to do and one thing they would want it not to do
  • Describe why it matters that young people understand AI — because they will shape how it is used

Check your understanding

Could The Future of AI have a thoughtful conversation about what they'd want AI to do in the future and what they'd be worried about?

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