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FC Quiles
FC Quiles

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Someone contributed 3,324 lines to our open K-12 AI lesson library — a 6-unit series asking students to interrogate AI, not just use it

A few weeks ago I posted about an open-source K-12 AI lesson library we launched. A few people asked to be notified when real content landed.

This week our first community contributor merged a full 6-unit high school AI literacy series. Here is what is in it:

  • Unit 1: The Oracle That Guesses — how AI prediction actually works
  • Unit 2: Whose Voice Is This — AI and authorship
  • Unit 3: The Consent Ledger — data, privacy, and what students agreed to
  • Unit 4: The Mirror Test — bias and what AI reflects back
  • Unit 5: The Unfinished Map — the limits of AI knowledge
  • Unit 6: After the Tool — what students want to do that AI cannot

Plus a companion CS lesson called "The Scribe Who Forgot His Dreams" and a research reading list.

The library now has 13 lessons across K-12. Bilingual (English/Spanish). CC BY 4.0. Free.

github.com/Emerging-Rule/community

Still open good first issues if anyone wants to contribute — Science (3-5), Social Studies (6-8), and more. No GitHub experience needed, there is an email option.

Happy to answer questions about any of the lessons.

Top comments (1)

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Harjot Singh

Teaching students to interrogate AI rather than just use it is the most important AI literacy skill there is, the danger was never using the tool, it's trusting output you can't evaluate. "Interrogate, don't accept" is exactly the posture good engineers need too: assume the model is confidently wrong until you've checked it. I bake that same skepticism into Moonshift, every AI output goes through a verify step instead of being trusted on faith. Great that this is being taught early. Which unit has landed hardest with students so far?