AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 924 · 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.Which of these is not AI? (a) an image generator (b) a calculator (c) a voice assistant (d) an AI chatbot
2. 2.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
3. 3.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
4. 4.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) True (b) False
6. 6.🔍 Which is the odd one out? (a) a torch (b) photos grouped by face (c) a spam filter (d) face unlock on a phone
7. 7.True or false: a video app suggesting what to watch next is AI recommending something. (a) False (b) True
8. 8.Which of these helps reduce bias? (a) add varied examples (b) ignore complaints (c) copy old unfair choices (d) add more of the same
9. 9.🎨 An image generator makes a picture from… (a) a phone number (b) the weather (c) a text description (d) your password
10. 10.True or false: a weather app guessing tomorrow’s rain is AI recognising something. (a) False (b) True
11. 11.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) generating (b) recommending (c) recognising (d) predicting
12. 12.🔍 Which is the odd one out? (a) writing quiz questions (b) writing a new poem (c) predicting rain (d) drawing a new picture
13. 13.🔍 Which is the odd one out? (a) confident means correct (b) AI can make up facts (c) AI knows everything (d) AI is never wrong
14. 14.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
15. 15.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
16. 16.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
18. 18.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
19. 19.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recommending (b) predicting (c) generating (d) recognising
20. 20.🔍 Which is the odd one out? (a) very few examples (b) checking labels twice (c) correct labels (d) new data for testing
21. 21.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
22. 22.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
23. 23.True or false: “add varied examples” helps reduce bias. (a) True (b) False
24. 24.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
25. 25.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) recorded spoken words (d) what training builds
26. 26.🤖 Who builds and trains AI systems? (a) the Moon (b) nobody at all (c) the weather (d) people
27. 27.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
28. 28.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) clear, sharp examples (d) testing on training data
29. 29.True or false: “the trained program” is a prediction. (a) True (b) False
30. 30.Which of these is the model? (a) old emails marked spam (b) past weather records (c) the trained program (d) recorded spoken words
31. 31.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it is always right (d) it learns from examples
32. 32.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
34. 34.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
35. 35.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI knows everything (c) AI learns from data (d) AI can make up facts
36. 36.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will shut down (d) it will turn yellow
37. 37.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
38. 38.True or false: “old emails marked spam” is a prediction. (a) True (b) False
39. 39.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
40. 40.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True

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