AI Foundations

Outcome: Explain that AI predicts from patterns and can be confidently wrong.

Essential question: If something sounds smart, does that mean it knows the truth?

Vocabulary: predict · pattern · hallucination · tool

1. Inside a Chatbot — How chatbots work + healthy skepticism
2. Teach the Robot — Computers learn from examples
3. Pattern Party — Computers find patterns in data
4. Fact, Guess, or Vibe — Critical reading of AI text
5. Predict, Not Know — AI predicts — it does not know
6. Confident & Wrong — Confidence can hide mistakes
7. Tool, Not Friend — AI is a tool, not a friend
8. Not Magic — AI is not magic
9. Trained on Data — AI is trained on examples
10. Check Before Trust — Verify before you trust AI

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Outcome: Keep secrets out of AI chats and spot viral fakes before sharing.

Essential question: What should never go into a chat — and what should you check before you believe?

Vocabulary: privacy · deepfake · verify · source

1. Privacy Patrol — Privacy Protector
2. Spot the Fake — Media literacy in the AI age
3. Source Check — Verifying claims and sources
4. Real or Robot Art? — AI can make pictures that look real
5. Sneaky Stat — Stat Spotter
6. Before You Share — Pause before sharing
7. Secret Keeper — Keep secrets out of chats
8. Stranger Chat — Handle stranger chats safely
9. Viral Trap — Spot viral engagement traps
10. Pause and Ask — Ask for help verifying

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Outcome: Write stronger prompts with role, task, and constraints — then check the answer.

Essential question: How do I ask so AI helps me think, instead of guessing for me?

Vocabulary: prompt · role · task · constraint · verify

1. Three Ingredients — Prompt Chef
2. Constraints Are Power — Constraint Captain
3. Prompt Power — Effective and safe AI use
4. Role and Goal — Set role and goal in prompts
5. Smaller Questions — Break big asks into steps
6. Show an Example — Give examples in prompts
7. Check the Answer — Verify AI answers
8. Rewrite the Ask — Rewrite weak prompts
9. Better or Worse? — Judge prompt quality
10. Ask, Then Verify — Ask well, then verify

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Outcome: Tell help from cheating, and disclose when AI was used as a tool.

Essential question: When is AI help learning — and when is it laundering work?

Vocabulary: help · cheat · disclose · cite · honest

1. Help or Cheat? — When AI helps vs when it cheats for you
2. Learn It, Don't Launder It — Academic honesty with AI
3. Cite Your AI — Honest AI disclosure
4. Fair or Unfair? — AI bias - when machines treat people differently
5. Spot the Bias — Bias Buster
6. My Words, My Work — Own your words and work
7. Credit the Helper — Give credit for AI help
8. Practice, Not Paste — Practice with AI, do not paste
9. Ask a Grown-Up — Ask adults about AI honesty rules
10. Honest Turn-In — Submit work honestly

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Outcome: Apply the full loop: prompt → check → privacy → cite → submit.

Essential question: Can I run the whole AI workflow without a grown-up holding my hand?

Vocabulary: workflow · capstone · judgment

1. Plan the Ask — Plan before you prompt
2. Check the Facts — Fact-check the AI answer
3. Privacy Pass — Privacy check before prompting
4. Cite and Submit — Cite AI, then submit
5. Fix the Workflow — Repair a broken AI workflow
6. Solo Run — Run the AI workflow solo
7. Bridge Reflect — Reflect on AI workflow
8. Bridge Builder — Bridge Builder

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