AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 814 · 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 of these helps reduce bias? (a) test on one group only (b) use one group only (c) add more of the same (d) balance the data
2. 2.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
3. 3.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
4. 4.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
6. 6.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) labelled fruit photos (d) recorded spoken words
7. 7.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
8. 8.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) use one group only (d) skip testing
9. 9.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) ignore complaints (d) add varied examples
10. 10.Which of these adds to bias? (a) check who is missing (b) ask different people (c) add varied examples (d) add more of the same
11. 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
13. 13.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
14. 14.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) generating (c) recognising (d) predicting
15. 15.True or false: “a soft lullaby melody” asks for music or sound. (a) False (b) True
16. 16.Which of these is good for training a model? (a) labels added at random (b) correct labels (c) wrong labels (d) blurry, unclear photos
17. 17.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) the Moon (d) people
18. 18.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
19. 19.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
20. 20.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI answers need checking (d) confident means correct
21. 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) turning speech to text (c) writing quiz questions (d) drawing a new picture
22. 22.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
23. 23.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
24. 24.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
25. 25.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
26. 26.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
27. 27.🎨 An image generator makes a picture from… (a) the weather (b) a phone number (c) a text description (d) your password
28. 28.True or false: “ask different people” helps reduce bias. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI answers need checking (c) AI has real feelings (d) AI can mix up numbers
30. 30.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) face unlock (d) a basic calculator
31. 31.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
32. 32.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) share it online (d) stop studying
33. 33.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
34. 34.True or false: “write a poem about the monsoon” asks for text. (a) False (b) True
35. 35.True or false: “improves with more data” describes how AI works. (a) False (b) True
36. 36.True or false: “the trained program” is a prediction. (a) False (b) True
37. 37.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
38. 38.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) drawing a new picture (c) unlocking with a face (d) inventing a recipe
39. 39.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
40. 40.🔍 Which is the odd one out? (a) confident means correct (b) AI knows everything (c) AI can make up facts (d) AI is never wrong

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