AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 257 · 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.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
2. 2.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
4. 4.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
5. 5.🔍 Which is the odd one out? (a) drafting a letter (b) spotting spam (c) writing a new poem (d) creating a cartoon
6. 6.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) inventing a recipe (b) drawing a new picture (c) composing a new tune (d) reading number plates
8. 8.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) generating (b) recommending (c) recognising (d) predicting
9. 9.🔍 Which is the odd one out? (a) drawing a new picture (b) composing a new tune (c) spotting a sick leaf (d) writing quiz questions
10. 10.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
11. 11.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) confident means correct (b) AI knows everything (c) AI is never wrong (d) AI answers need checking
13. 13.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
14. 14.True or false: “learns from examples” describes how AI works. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
16. 16.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
17. 17.True or false: “test on many groups” helps reduce bias. (a) True (b) False
18. 18.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) ignore complaints (d) check who is missing
19. 19.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
21. 21.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
22. 22.Which of these describes how AI works? (a) learns from examples (b) uses rules people wrote (c) same steps every time (d) follows fixed rules
23. 23.True or false: “labelled fruit photos” is the model. (a) False (b) True
24. 24.Which of these describes how a normal program works? (a) gives a likely answer (b) improves with more data (c) makes a best guess (d) one set rule per case
25. 25.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
26. 26.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
27. 27.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
28. 28.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) the trained program (d) flagging a new email
29. 29.🔍 Which is the odd one out? (a) unlocking with a face (b) spotting spam (c) turning speech to text (d) inventing a recipe
30. 30.Which of these is good for training a model? (a) blurry, unclear photos (b) labels added at random (c) very few examples (d) new data for testing
31. 31.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) new data for testing (d) copies of one photo
32. 32.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
33. 33.Which of these is a fact about AI? (a) AI is never wrong (b) confident means correct (c) long answers are true (d) AI can be wrong
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
35. 35.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
36. 36.🔍 Which is the odd one out? (a) sorting photos by face (b) writing a new poem (c) creating a cartoon (d) composing a new tune
37. 37.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
38. 38.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
39. 39.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
40. 40.Which of these uses AI? (a) a fan regulator (b) a torch (c) a doorbell (d) face unlock on a phone

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