AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 804 · 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: “a story about a brave ant” asks for an image. (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) reading number plates (b) sorting photos by face (c) inventing a recipe (d) unlocking with a face
3. 3.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
4. 4.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
5. 5.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
6. 6.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) predicting rain (c) inventing a recipe (d) spotting a sick leaf
7. 7.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) predicting (c) recognising (d) generating
8. 8.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
9. 9.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
10. 10.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
11. 11.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
12. 12.Which of these describes how AI works? (a) makes a best guess (b) never learns from data (c) follows fixed rules (d) does exactly as coded
13. 13.🔍 Which is the odd one out? (a) sorting photos by face (b) spotting a sick leaf (c) unlocking with a face (d) drafting a letter
14. 14.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) an image (c) text
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
17. 17.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI copies data patterns (c) AI is never wrong (d) AI learns from data
18. 18.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) checking labels twice (d) only one kind of example
19. 19.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
20. 20.Which of these describes how a normal program works? (a) spots patterns in data (b) does exactly as coded (c) improves with more data (d) makes a best guess
21. 21.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recognising (b) predicting (c) generating (d) recommending
22. 22.True or false: “test on one group only” adds to bias. (a) True (b) False
23. 23.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
24. 24.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) copy old unfair choices (d) test on many groups
25. 25.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
26. 26.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) add varied examples
27. 27.🔍 Which is the odd one out? (a) an app translating signs (b) face unlock on a phone (c) a map predicting traffic (d) a light switch
28. 28.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it uses electricity (d) it learns from examples
29. 29.Which of these is good for training a model? (a) very few examples (b) many varied examples (c) copies of one photo (d) wrong labels
30. 30.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) False (b) True
31. 31.True or false: “fix wrong labels” adds to bias. (a) False (b) True
32. 32.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
33. 33.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
34. 34.Which of these is generative AI (it makes something new)? (a) predicting rain (b) creating a cartoon (c) unlocking with a face (d) spotting spam
35. 35.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
36. 36.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) use one group only (d) add varied examples
38. 38.Which of these is good for training a model? (a) blurry, unclear photos (b) clear, sharp examples (c) only one kind of example (d) very few examples
39. 39.Which of these is generative AI (it makes something new)? (a) writing quiz questions (b) suggesting a video (c) predicting rain (d) reading number plates
40. 40.True or false: “it is long and detailed” is a real way to check an AI answer. (a) False (b) True

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