AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 883 · 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: “it is long and detailed” is a real way to check an AI answer. (a) True (b) False
2. 2.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
3. 3.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
4. 4.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) new data for testing (d) wrong labels
5. 5.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
6. 6.True or false: “what training builds” is a prediction. (a) True (b) False
7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
8. 8.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) generating (b) recommending (c) recognising (d) predicting
9. 9.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
10. 10.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
11. 11.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
12. 12.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
13. 13.Which of these is a myth about AI? (a) AI answers need checking (b) AI copies data patterns (c) AI can mix up numbers (d) AI is never wrong
14. 14.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
15. 15.Which of these uses AI? (a) a fan regulator (b) a kitchen weighing scale (c) a microwave timer (d) an image generator
16. 16.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
17. 17.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) recommending (d) printing
18. 18.Which of these adds to bias? (a) test on many groups (b) use one group only (c) fix wrong labels (d) balance the data
19. 19.True or false: a keyboard guessing your next word is AI generating something new. (a) True (b) False
20. 20.Which of these is a fact about AI? (a) AI always checks facts (b) AI can be wrong (c) long answers are true (d) AI knows everything
21. 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
22. 22.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
23. 23.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
24. 24.Which of these is AI that sorts, spots or predicts (not generative)? (a) unlocking with a face (b) drafting a letter (c) creating a cartoon (d) writing quiz questions
25. 25.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) only one kind of example (d) examples of every type
26. 26.Which of these is a prediction? (a) what training builds (b) past weather records (c) naming a new fruit photo (d) 500 labelled leaf photos
27. 27.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
28. 28.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
29. 29.Which of these is a myth about AI? (a) AI answers need checking (b) AI learns from data (c) AI has real feelings (d) AI can make up facts
30. 30.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
31. 31.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
32. 32.🔍 Which is the odd one out? (a) wrong labels (b) examples of every type (c) testing on training data (d) very few examples
33. 33.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
34. 34.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) music or sound (c) an image
35. 35.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) add varied examples (d) test on one group only
36. 36.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) False (b) True
37. 37.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) what training builds (d) the trained program
38. 38.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
39. 39.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
40. 40.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check

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