AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 186 · 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.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
2. 2.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
3. 3.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
5. 5.Which of these adds to bias? (a) ask different people (b) test on many groups (c) use one group only (d) add varied examples
6. 6.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
7. 7.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
8. 8.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) ask different people (d) use one group only
10. 10.Which of these describes how AI works? (a) one set rule per case (b) makes a best guess (c) same steps every time (d) follows fixed rules
11. 11.True or false: “old emails marked spam” is training data. (a) False (b) True
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
13. 13.True or false: a book app suggesting a story like your last one is AI recommending something. (a) False (b) True
14. 14.Which of these is the model? (a) the trained program (b) flagging a new email (c) old emails marked spam (d) naming a new fruit photo
15. 15.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
16. 16.🤖 What does AI stand for? (a) app installer (b) actual information (c) automatic internet (d) artificial intelligence
17. 17.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
18. 18.Which of these uses AI? (a) a torch (b) voice typing (c) a doorbell (d) a kitchen weighing scale
19. 19.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
20. 20.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
21. 21.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
22. 22.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
23. 23.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
24. 24.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only adds numbers (d) only stores files
25. 25.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
26. 26.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) recognising (c) recommending (d) predicting
27. 27.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) an image (c) text
28. 28.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) naming a new fruit photo (d) naming a new leaf
29. 29.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
30. 30.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
31. 31.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) what training builds (d) recorded spoken words
32. 32.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) clear, sharp examples (d) labels added at random
33. 33.🔍 Which is the odd one out? (a) labels added at random (b) testing on training data (c) blurry, unclear photos (d) correct labels
34. 34.Which of these is bad for training a model? (a) examples of every type (b) new data for testing (c) photos in many lights (d) labels added at random
35. 35.🔍 Which is the odd one out? (a) checking labels twice (b) many varied examples (c) examples of every type (d) copies of one photo
36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
37. 37.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a label (c) a battery (d) a password
38. 38.🔍 Which is the odd one out? (a) voice typing (b) a printed timetable (c) a torch (d) a calculator
39. 39.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
40. 40.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction

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