AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 867 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
2. 2.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI is never wrong (c) AI learns from data (d) AI can be wrong
4. 4.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) False (b) True
5. 5.Which of these is good for training a model? (a) wrong labels (b) correct labels (c) blurry, unclear photos (d) labels added at random
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
7. 7.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) unlocking with a face (d) making up a story
8. 8.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
9. 9.🔍 Which is the odd one out? (a) inventing a recipe (b) drawing a new picture (c) turning speech to text (d) writing a new poem
10. 10.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) checking labels twice (b) only one kind of example (c) clear, sharp examples (d) correct labels
13. 13.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
14. 14.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
15. 15.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
16. 16.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
17. 17.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
18. 18.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) one set rule per case (d) learns from examples
19. 19.🔍 Which is the odd one out? (a) a map predicting traffic (b) voice typing (c) a light switch (d) video suggestions
20. 20.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
21. 21.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
22. 22.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
23. 23.🔍 Which is the odd one out? (a) clear, sharp examples (b) testing on training data (c) blurry, unclear photos (d) copies of one photo
24. 24.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
25. 25.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
26. 26.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
27. 27.Which of these describes how AI works? (a) follows fixed rules (b) same steps every time (c) never learns from data (d) spots patterns in data
28. 28.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
29. 29.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
30. 30.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
31. 31.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) cooking (d) printing
32. 32.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
33. 33.Which of these is not AI? (a) a spam filter (b) video suggestions (c) a fan regulator (d) face unlock on a phone
34. 34.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
35. 35.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) add varied examples (d) use one group only
36. 36.🔍 Which is the odd one out? (a) a doorbell (b) voice typing (c) video suggestions (d) face unlock on a phone
37. 37.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
39. 39.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) copy old unfair choices (d) test on one group only
40. 40.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it uses electricity (d) it is always right

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