AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 169 · 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 uses big words” is NOT a real way to check an AI answer. (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) AI is never wrong (b) AI answers need checking (c) AI can be wrong (d) AI learns from data
3. 3.🏷️ 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
4. 4.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
5. 5.🔍 Which is the odd one out? (a) composing a new tune (b) spotting a sick leaf (c) drafting a letter (d) inventing a recipe
6. 6.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
7. 7.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
8. 8.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
10. 10.🔍 Which is the odd one out? (a) testing on training data (b) wrong labels (c) only one kind of example (d) examples of every type
11. 11.True or false: “add varied examples” adds to bias. (a) False (b) True
12. 12.Which of these describes how AI works? (a) gives a likely answer (b) does exactly as coded (c) same steps every time (d) follows fixed rules
13. 13.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) very few examples (d) correct labels
14. 14.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
15. 15.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
16. 16.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) testing on training data (d) checking labels twice
17. 17.True or false: “AI always checks facts” is a fact about AI. (a) True (b) False
18. 18.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) recommending (d) cooking
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
20. 20.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) unlocking with a face (c) inventing a recipe (d) sorting photos by face
21. 21.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
22. 22.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
23. 23.Which of these is a myth about AI? (a) AI can make up facts (b) long answers are true (c) AI learns from data (d) AI can mix up numbers
24. 24.Which of these describes how AI works? (a) uses rules people wrote (b) same steps every time (c) one set rule per case (d) handles unseen examples
25. 25.Which of these describes how AI works? (a) one set rule per case (b) same steps every time (c) does exactly as coded (d) makes a best guess
26. 26.Which of these describes how a normal program works? (a) makes a best guess (b) learns from examples (c) gives a likely answer (d) never learns from data
27. 27.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) suggesting a video (c) creating a cartoon (d) writing quiz questions
28. 28.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
29. 29.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
30. 30.Which of these uses AI? (a) a microwave timer (b) a torch (c) a map predicting traffic (d) a fan regulator
31. 31.🔍 Which is the odd one out? (a) writing quiz questions (b) predicting rain (c) turning speech to text (d) sorting photos by face
32. 32.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
33. 33.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
34. 34.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
35. 35.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
36. 36.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
37. 37.True or false: “test on one group only” helps reduce bias. (a) True (b) False
38. 38.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
39. 39.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
40. 40.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)

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