AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 275 · 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) turning speech to text (b) suggesting a video (c) making up a story (d) sorting photos by face
2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
3. 3.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
4. 4.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) spotting spam (c) inventing a recipe (d) predicting rain
5. 5.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
6. 6.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
7. 7.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
8. 8.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
9. 9.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) test on many groups
10. 10.🧮 Which of these is NOT AI? (a) a basic calculator (b) face unlock (c) a spam filter (d) voice typing
11. 11.True or false: turning your spoken words into typed text is AI generating something new. (a) False (b) True
12. 12.Which of these describes how a normal program works? (a) makes a best guess (b) spots patterns in data (c) learns from examples (d) never learns from data
13. 13.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) check who is missing (d) fix wrong labels
14. 14.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a phone number (d) a text description
15. 15.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
16. 16.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
17. 17.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
18. 18.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
19. 19.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
20. 20.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) the weather (d) people
21. 21.Which of these is a myth about AI? (a) AI learns from data (b) long answers are true (c) AI copies data patterns (d) AI can make up facts
22. 22.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) predicting (c) generating (d) recognising
23. 23.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) False (b) True
24. 24.Which of these is a fact about AI? (a) confident means correct (b) AI can be wrong (c) AI is never wrong (d) AI has real feelings
25. 25.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
26. 26.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) blurry, unclear photos (d) checking labels twice
27. 27.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a battery (d) a label
28. 28.True or false: “makes a best guess” describes how AI works. (a) True (b) False
29. 29.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
30. 30.Which of these describes how a normal program works? (a) spots patterns in data (b) follows fixed rules (c) makes a best guess (d) improves with more data
31. 31.🔍 Which is the odd one out? (a) wrong labels (b) examples of every type (c) many varied examples (d) checking labels twice
32. 32.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
33. 33.True or false: “match it to the textbook” is a real way to check an AI answer. (a) True (b) False
34. 34.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
35. 35.True or false: “labels added at random” is bad for training a model. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) voice typing (b) a digital watch (c) video suggestions (d) face unlock on a phone
37. 37.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
38. 38.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
39. 39.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
40. 40.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word

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