AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 684 · 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.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
2. 2.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a summary (c) a backup (d) a hallucination
3. 3.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) new data for testing (d) testing on training data
4. 4.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
5. 5.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
6. 6.🤖 What does AI stand for? (a) actual information (b) artificial intelligence (c) automatic internet (d) app installer
7. 7.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) add more of the same (d) test on one group only
8. 8.Which of these is a fact about AI? (a) long answers are true (b) AI can mix up numbers (c) AI has real feelings (d) AI knows everything
9. 9.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
10. 10.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
11. 11.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
12. 12.🔍 Which is the odd one out? (a) an image generator (b) voice typing (c) video suggestions (d) a stopwatch
13. 13.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
14. 14.Which of these is a fact about AI? (a) AI copies data patterns (b) AI knows everything (c) long answers are true (d) AI has real feelings
15. 15.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
16. 16.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
18. 18.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) voice typing (d) face unlock
19. 19.💬 What do we call the request you type to a generative AI? (a) a password (b) a label (c) a battery (d) a prompt
20. 20.Which of these is a myth about AI? (a) AI answers need checking (b) AI can be wrong (c) AI can mix up numbers (d) AI has real feelings
21. 21.Which of these uses AI? (a) a light switch (b) video suggestions (c) a doorbell (d) a digital watch
22. 22.True or false: “wrong labels” is good for training a model. (a) False (b) True
23. 23.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) recommending (c) printing (d) cooking
24. 24.🎨 An image generator makes a picture from… (a) the weather (b) a phone number (c) a text description (d) your password
25. 25.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) copy old unfair choices (d) use one group only
26. 26.🔍 Which is the odd one out? (a) writing a new poem (b) making up a story (c) creating a cartoon (d) predicting rain
27. 27.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) uses rules people wrote (d) improves with more data
28. 28.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) the trained program (d) the learned patterns
29. 29.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) writing a new poem (c) creating a cartoon (d) spotting a sick leaf
30. 30.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
31. 31.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
32. 32.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
33. 33.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) skip testing (d) test on one group only
34. 34.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
35. 35.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
36. 36.🔍 Which is the odd one out? (a) suggesting a video (b) reading number plates (c) turning speech to text (d) drawing a new picture
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
38. 38.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) add varied examples (d) test on many groups
39. 39.🔍 Which is the odd one out? (a) writing a new poem (b) making up a story (c) drafting a letter (d) sorting photos by face
40. 40.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) correct labels (d) very few examples

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