AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 43 · 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.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
2. 2.True or false: “learns from examples” describes how AI works. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
4. 4.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
5. 5.Which of these is a prediction? (a) the trained program (b) typing a new spoken word (c) 500 labelled leaf photos (d) recorded spoken words
6. 6.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
7. 7.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
8. 8.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
9. 9.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
10. 10.Which of these is the model? (a) labelled fruit photos (b) typing a new spoken word (c) what training builds (d) old emails marked spam
11. 11.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
13. 13.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
14. 14.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) only at night (d) no, it follows rules
15. 15.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) photos in many lights (d) only one kind of example
16. 16.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) ask different people (d) use one group only
17. 17.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) spotting spam (c) composing a new tune (d) reading number plates
18. 18.🔍 Which is the odd one out? (a) photos grouped by face (b) voice typing (c) a fan regulator (d) an app translating signs
19. 19.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) recommending (d) cooking
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
21. 21.True or false: “a poster of a rainforest” asks for an image. (a) True (b) False
22. 22.🛠️ Which does this job need: sorting names in A to Z order? (a) a simple rule is enough (b) needs AI (learning)
23. 23.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) music or sound (c) an image
24. 24.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
25. 25.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
26. 26.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) tomorrow’s rain guess (d) 500 labelled leaf photos
27. 27.Which of these is a myth about AI? (a) AI can make up facts (b) AI has real feelings (c) AI copies data patterns (d) AI learns from data
28. 28.✍️ How does an AI chatbot write its replies? (a) asks a person (b) predicts likely words (c) copies one website (d) uses magic
29. 29.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
30. 30.Which of these describes how a normal program works? (a) spots patterns in data (b) gives a likely answer (c) handles unseen examples (d) one set rule per case
31. 31.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
32. 32.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
33. 33.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) tomorrow’s rain guess (d) the learned patterns
34. 34.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
35. 35.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
36. 36.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
37. 37.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
39. 39.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
40. 40.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new

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