AI UNIT 1 • STAGE 4 OF 5

Right, Wrong & In Between

Spotting errors, stereotypes, and made-up details, and checking them like a pro

Unit
STEP 1

Three ways an AI goes wrong

Not all mistakes are the same. Learning to name them is what turns you from a user into a critical thinker. Watch for these three:

  • A plain error, a fact that's just incorrect (wrong date, wrong location).
  • A stereotype, a flat, one-size-fits-all idea about Native peoples that erases the differences between nations.
  • A made-up detail, sometimes called a "hallucination." The AI invents something that sounds real (a fake quote, a made-up ceremony, a person who never existed) and states it confidently.
STEP 2

Test it on something you already know

Ask the AI a question you know the real answer to about your community. Then compare. This is the fastest way to catch it being confidently wrong.

Try these

Describe a traditional food of [your nation]. Tell me about an important leader from [your nation]. What are Native American beliefs?

That last one is a trap on purpose. There is no single set of "Native American beliefs", there are hundreds of distinct nations. Watch whether the AI flattens them all into one.

STEP 3

Check it against a real source

Pick one AI answer and verify it. Open a trustworthy source in another tab, your nation's official website, a Tribal college, or a government page, and see if the AI was right.

🎯 The habit that protects you

"Trust, but verify" becomes just "verify" with AI. The AI is a starting point, never the final word, especially about your own people.

STEP 4

Label your evidence

In your Field Notes, collect one example of each: something accurate, something wrong or stereotyped, and something the AI appears to have made up. Note how you checked.

🌟 Almost there

You've now caught an AI in real mistakes about your own community, and proven it with sources. Stage 5 is where you pull it all together.

Ask the AI
🛡️ Guided classroom sandbox. Your messages are saved for your teacher.
Test the AI on things you know. Hunt for errors, stereotypes, and made-up details.
Field Notes

Collect one example of each, with proof:

  • 1. Something ACCURATE the AI said:
  • 2. Something WRONG or STEREOTYPED:
  • 3. Something it seems to have MADE UP:
  • 4. How I checked (which source I used):

Saved automatically.