Week 4 — Critical Thinking & Fact-Checking

Learning objectives

Core concepts

AI tools confidently produce false information — fake legal cases, invented historical quotes, made-up scientific citations. Confidence is not a signal of accuracy. The most durable defence isn’t a specific tool; it’s a habit. Digital literacy expert Mike Caulfield’s SIFT method gives a four-step routine: Stop, Investigate the source, Find better coverage, Trace claims back to the original context.

Discussion prompts

  1. Tell each other about a time you believed something online that turned out to be wrong. What made it believable? What would have caught it?
  2. Why might an AI invent a fact and present it confidently? (Hint: re-read Week 1.)
  3. If a TikTok, an AI summary, and a published news article all say the same thing, are they three sources — or one? How would you check?
  4. What’s the difference between “I don’t know” and “I looked it up and it’s not true”? Which one do AI tools tend to skip?

At-home activity: “Catch the AI lying”

Together, design five questions where the correct answer is something each of you knows well — a family member’s job, the plot of a favourite book, a local sports result, a niche hobby fact, a historical event from your country. Ask an AI chatbot each question and rate its answer: - Correct - Partially correct (with mistakes) - Confidently wrong - Refused / hedged

For any “confidently wrong” answer, run it through the SIFT steps as a pair. Discuss: would you have caught this if you didn’t already know the answer?

Parent resource list

Reflection

“This week I caught AI being wrong about ___. I caught it because ___.”