AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 222 · 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.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
2. 2.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) skip testing (d) ask different people
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
4. 4.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) checking labels twice (d) copies of one photo
5. 5.Which of these is the model? (a) naming a new leaf (b) recorded spoken words (c) tomorrow’s rain guess (d) what training builds
6. 6.Which of these is not AI? (a) a stopwatch (b) an AI chatbot (c) face unlock on a phone (d) a voice assistant
7. 7.🔍 Which is the odd one out? (a) writing a new poem (b) sorting photos by face (c) turning speech to text (d) reading number plates
8. 8.Which of these is the model? (a) tomorrow’s rain guess (b) the learned patterns (c) old emails marked spam (d) 500 labelled leaf photos
9. 9.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
10. 10.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) learns from examples (d) does exactly as coded
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.🤖 Who builds and trains AI systems? (a) people (b) the Moon (c) the weather (d) nobody at all
13. 13.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
14. 14.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) drafting a letter (c) drawing a new picture (d) turning speech to text
15. 15.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
16. 16.True or false: a book app suggesting a story like your last one is AI recommending something. (a) False (b) True
17. 17.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a summary (d) a hallucination
18. 18.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) blurry, unclear photos (d) wrong labels
19. 19.Which of these describes how a normal program works? (a) gives a likely answer (b) handles unseen examples (c) never learns from data (d) improves with more data
20. 20.Which of these is not AI? (a) photos grouped by face (b) a kitchen weighing scale (c) a spam filter (d) face unlock on a phone
21. 21.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) new data for testing (d) copies of one photo
22. 22.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
23. 23.True or false: “labels added at random” is good for training a model. (a) False (b) True
24. 24.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
25. 25.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
26. 26.True or false: “skip testing” adds to bias. (a) False (b) True
27. 27.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
28. 28.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
29. 29.Which of these describes how AI works? (a) does exactly as coded (b) improves with more data (c) uses rules people wrote (d) one set rule per case
30. 30.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) recommending (d) cooking
31. 31.🎨 An image generator makes a picture from… (a) a text description (b) your password (c) a phone number (d) the weather
32. 32.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
33. 33.🏷️ 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
34. 34.True or false: “it answered quickly” is a real way to check an AI answer. (a) True (b) False
35. 35.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
36. 36.True or false: “a cartoon of a dancing elephant” asks for an image. (a) True (b) False
37. 37.True or false: “uses rules people wrote” describes how a normal program works. (a) False (b) True
38. 38.True or false: “checking labels twice” is good for training a model. (a) True (b) False
39. 39.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a password (d) a battery
40. 40.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) only one kind of example (d) clear, sharp examples

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