AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 736 · 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 is the odd one out? (a) unlocking with a face (b) predicting rain (c) making up a story (d) suggesting a video
2. 2.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
3. 3.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI is never wrong (c) AI can make up facts (d) AI copies data patterns
4. 4.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) music or sound (c) text
5. 5.True or false: “fix wrong labels” adds to bias. (a) True (b) False
6. 6.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
7. 7.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
8. 8.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
9. 9.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
10. 10.Which of these is not AI? (a) a fan regulator (b) an image generator (c) a map predicting traffic (d) an app translating signs
11. 11.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
12. 12.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
13. 13.True or false: “a logo idea for the eco club” asks for music or sound. (a) False (b) True
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
15. 15.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it can think (c) no, it follows rules (d) yes, it is smart
16. 16.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) nobody at all (d) people
17. 17.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
18. 18.🏷️ 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
19. 19.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recommending (b) generating (c) recognising (d) predicting
20. 20.Which of these is a myth about AI? (a) long answers are true (b) AI copies data patterns (c) AI answers need checking (d) AI learns from data
21. 21.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
22. 22.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
23. 23.🔍 Which is the odd one out? (a) new data for testing (b) checking labels twice (c) only one kind of example (d) correct labels
24. 24.Which of these uses AI? (a) a light switch (b) photos grouped by face (c) a stopwatch (d) a digital watch
25. 25.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI can mix up numbers (d) AI is never wrong
26. 26.🔍 Which is the odd one out? (a) blurry, unclear photos (b) correct labels (c) clear, sharp examples (d) photos in many lights
27. 27.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
28. 28.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
29. 29.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
30. 30.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it is always right (d) it has a screen
31. 31.🔍 Which is the odd one out? (a) photos in many lights (b) wrong labels (c) correct labels (d) clear, sharp examples
32. 32.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) wrong labels (d) many varied examples
33. 33.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
34. 34.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
35. 35.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) text (c) music or sound
36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
37. 37.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
38. 38.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
39. 39.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
40. 40.Which of these adds to bias? (a) balance the data (b) test on one group only (c) test on many groups (d) fix wrong labels

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