AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 62 · 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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
2. 2.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
3. 3.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) music or sound (b) an image (c) text
4. 4.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
5. 5.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a spam filter (d) a basic calculator
6. 6.🔍 Which is the odd one out? (a) predicting rain (b) writing quiz questions (c) unlocking with a face (d) reading number plates
7. 7.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI learns from data (d) AI knows everything
8. 8.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) True (b) False
9. 9.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
10. 10.🔍 Which is the odd one out? (a) correct labels (b) photos in many lights (c) copies of one photo (d) checking labels twice
11. 11.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
12. 12.Which of these is a fact about AI? (a) AI knows everything (b) AI learns from data (c) AI is never wrong (d) long answers are true
13. 13.Which of these describes how a normal program works? (a) uses rules people wrote (b) spots patterns in data (c) improves with more data (d) handles unseen examples
14. 14.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) yes, just like us (d) no, it finds patterns
15. 15.True or false: “only one kind of example” is good for training a model. (a) False (b) True
16. 16.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
17. 17.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) very few examples (d) checking labels twice
18. 18.True or false: an online shop showing “you may also like” is AI recognising something. (a) True (b) False
19. 19.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it has a screen (d) it is always right
20. 20.🔍 Which is the odd one out? (a) AI knows everything (b) AI can be wrong (c) AI learns from data (d) AI can make up facts
21. 21.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
22. 22.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
23. 23.Which of these is a myth about AI? (a) AI can make up facts (b) AI copies data patterns (c) AI can mix up numbers (d) AI always checks facts
24. 24.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will be perfect (d) it will shut down
25. 25.🤖 Who builds and trains AI systems? (a) people (b) the Moon (c) the weather (d) nobody at all
26. 26.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
27. 27.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
28. 28.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a label (c) a password (d) a battery
29. 29.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
31. 31.True or false: “check who is missing” adds to bias. (a) True (b) False
32. 32.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
33. 33.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) only stores files (d) makes new content
34. 34.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
35. 35.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) naming a new fruit photo (d) recorded spoken words
36. 36.Which of these is a myth about AI? (a) AI is never wrong (b) AI answers need checking (c) AI can make up facts (d) AI can mix up numbers
37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
38. 38.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) balance the data (d) ignore complaints
39. 39.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
40. 40.True or false: “old emails marked spam” is training data. (a) True (b) False

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