AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 233 · 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.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
2. 2.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
3. 3.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
4. 4.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
5. 5.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recognising (b) predicting (c) recommending (d) generating
6. 6.True or false: “past weather records” is a prediction. (a) True (b) False
7. 7.Which of these describes how a normal program works? (a) never learns from data (b) gives a likely answer (c) learns from examples (d) spots patterns in data
8. 8.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) music or sound (b) an image (c) text
9. 9.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) spotting spam (c) writing a new poem (d) predicting rain
10. 10.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a prompt (d) a label
11. 11.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
12. 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) unlocking with a face (c) drawing a new picture (d) making up a story
13. 13.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
14. 14.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) fix wrong labels (d) test on many groups
15. 15.True or false: sorting names in A to Z order needs AI that learns from examples. (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) ignore complaints (d) fix wrong labels
17. 17.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, just like us (c) yes, it gets sad (d) only on weekends
18. 18.True or false: “test on one group only” adds to bias. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) new data for testing (b) clear, sharp examples (c) photos in many lights (d) very few examples
20. 20.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) add more of the same (d) use one group only
21. 21.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
22. 22.True or false: “same steps every time” describes how AI works. (a) True (b) False
23. 23.True or false: “checking labels twice” is good for training a model. (a) True (b) False
24. 24.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
25. 25.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) reading number plates (c) turning speech to text (d) sorting photos by face
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
27. 27.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) clean screens (d) print pages
28. 28.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
29. 29.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) predicting (c) recommending (d) generating
30. 30.Which of these is a fact about AI? (a) long answers are true (b) AI has real feelings (c) AI can make up facts (d) confident means correct
31. 31.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) what training builds (d) tomorrow’s rain guess
32. 32.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
33. 33.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
34. 34.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) wrong labels (d) many varied examples
35. 35.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) examples of every type (d) testing on training data
36. 36.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
37. 37.🔍 Which is the odd one out? (a) AI knows everything (b) AI has real feelings (c) AI answers need checking (d) confident means correct
38. 38.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) trust the textbook (d) stop studying
39. 39.🔍 Which is the odd one out? (a) video suggestions (b) photos grouped by face (c) face unlock on a phone (d) a doorbell
40. 40.True or false: “a cartoon of a dancing elephant” asks for an image. (a) True (b) False

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