Fact-checking
Fact-checking means finding two independent, trustworthy sources before repeating a claim. AI is a starting point, never the citation.
AI for Kids · Class 6 · Module 8 of 9
Truth, Safety and Kindness
AI is confident even when it is wrong. Learning to check is learning to think.
8 sessionsSessions 57–64
4 weeksTypical pace
FoundationLevel
Class 6Artificial Intelligence
The big idea
The safety module of the year. Students practise fact-checking claims against real sources, identify what must never be typed into a chatbot, and see how bias in data becomes bias in output.
Why it matters
Every other module in this curriculum depends on this one. Capability without verification is a liability.
Unpacked
What you will actually learn
Three core ideas, each taught with worked examples and then practised until it feels obvious.
Private information
Private information — full name, address, school, phone, photos, passwords — never goes into a chatbot, no matter how helpful it seems.
Bias and respectful use
Bias appears because AI learns from human-made data, which carries human assumptions. Noticing it is the first step to challenging it.
Did you know?
When AI states something false with complete confidence it is called a hallucination — a known, expected behaviour, not an occasional glitch.
Common mix-up
“It gave a source, so it must be true.” AI can invent sources that look entirely real. Always open the link and check it exists.
Session by session
Your 8-session journey
Sessions 57–64 of the 72-session year, at two one-hour sessions per week.
- 1
Warm-up and big picture
Where this module fits, what you will build, and a hands-on starter that gets everyone curious about fact-checking.
- 2
Fact-checking
Guided teaching on fact-checking, worked through together with the teacher.
- 3
Fact-checking — practice lab
Independent practice, small challenges and one deliberate mistake to diagnose.
- 4
Private information
Guided teaching on private information, building directly on the previous two sessions.
- 5
Private information — practice lab
Applied tasks that combine fact-checking and private information in one piece of work.
- 6
Bias and respectful use
Bias and respectful use introduced and practised, completing the toolkit needed for the project.
- 7
Project build
Guided build session for the module project: Young AI User safety charter.
- 8
Test, present and reflect
Finish, test against the checklist, present the work and explain the decisions behind it.
Project lab
Young AI User safety charter
Every module ends with something the student built themselves and can demonstrate. This is the piece that goes into their portfolio and gets explained out loud at the end of session 64.
Try this at home
Ask AI for three facts about your town, then verify each one. Note how convincing the wrong ones sounded.
It is finished when
- It works from start to finish without breaking
- You can explain every part of it in your own words
- You tested it and improved at least one thing afterwards
- Someone else used or understood it without your help
By the end of this module
Students finishing Module 8 can:
- Explain and use fact-checking without prompting
- Explain and use private information without prompting
- Explain and use bias and respectful use without prompting
- Build and finish young ai user safety charter
- Test your own work and correct what you find
- Talk an adult through what you made and why
Word bank
The vocabulary introduced here, in plain language:
- hallucination
- Confident AI output that is not true.
- bias
- An unfair pattern learned from the training data.
- fact-check
- To verify a claim against reliable sources.
Module challenge
Think you have got this?
0 XPLevel 1 · Curious Beginner
6 quick questions drawn from this module — vocabulary, the project you build, and a myth-or-fact round. Every wrong answer explains itself, so a mistake still teaches you something.
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