AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 564 · 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.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
2. 2.Which of these adds to bias? (a) fix wrong labels (b) copy old unfair choices (c) balance the data (d) test on many groups
3. 3.True or false: “asking the same AI again” is a real way to check an AI answer. (a) False (b) True
4. 4.True or false: “new data for testing” is good for training a model. (a) False (b) True
5. 5.🔍 Which is the odd one out? (a) AI can be wrong (b) AI always checks facts (c) AI has real feelings (d) confident means correct
6. 6.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) copy it straight away (c) ask it to hurry (d) never do maths
7. 7.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
8. 8.🔍 Which is the odd one out? (a) many varied examples (b) wrong labels (c) new data for testing (d) photos in many lights
9. 9.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
10. 10.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
11. 11.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
12. 12.🎨 An image generator makes a picture from… (a) a text description (b) the weather (c) a phone number (d) your password
13. 13.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
14. 14.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
15. 15.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
16. 16.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
17. 17.True or false: “wrong labels” is good for training a model. (a) True (b) False
18. 18.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
20. 20.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
21. 21.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
22. 22.True or false: “use one group only” helps reduce bias. (a) True (b) False
23. 23.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it will shut down (d) it may get it wrong
24. 24.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
25. 25.Which of these describes how AI works? (a) makes a best guess (b) uses rules people wrote (c) never learns from data (d) follows fixed rules
26. 26.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True
27. 27.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) labelled fruit photos (d) old emails marked spam
28. 28.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) recommending (d) printing
29. 29.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
30. 30.Which of these is a myth about AI? (a) AI copies data patterns (b) AI has real feelings (c) AI can make up facts (d) AI answers need checking
31. 31.Which of these describes how AI works? (a) never learns from data (b) learns from examples (c) same steps every time (d) follows fixed rules
32. 32.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a backup (c) a hallucination (d) a password
33. 33.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it is smart (c) yes, it can think (d) only at night
34. 34.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
35. 35.Which of these is a myth about AI? (a) AI knows everything (b) AI can make up facts (c) AI can be wrong (d) AI learns from data
36. 36.True or false: “fix wrong labels” adds to bias. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
38. 38.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
39. 39.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess

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