AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 396 · 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: “try the sum on paper” is a real way to check an AI answer. (a) False (b) True
2. 2.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
3. 3.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
4. 4.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
5. 5.Which of these is training data? (a) old emails marked spam (b) the trained program (c) tomorrow’s rain guess (d) typing a new spoken word
6. 6.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
7. 7.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
8. 8.Which of these is generative AI (it makes something new)? (a) creating a cartoon (b) sorting photos by face (c) unlocking with a face (d) spotting spam
9. 9.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) sleeping (d) drawing
10. 10.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
11. 11.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) labelled fruit photos (d) tomorrow’s rain guess
12. 12.True or false: an image generator drawing a robot from a sentence is AI predicting something. (a) True (b) False
13. 13.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
14. 14.Which of these describes how a normal program works? (a) handles unseen examples (b) spots patterns in data (c) improves with more data (d) follows fixed rules
15. 15.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
16. 16.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) yes, it can think (d) no, it follows rules
17. 17.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) typing a new spoken word (d) past weather records
18. 18.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
19. 19.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, just like us (c) yes, it gets sad (d) no, it finds patterns
20. 20.Which of these uses AI? (a) a fan regulator (b) an image generator (c) a digital watch (d) a doorbell
21. 21.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
23. 23.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) an image (c) music or sound
24. 24.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
25. 25.True or false: “long answers are true” is a fact about AI. (a) False (b) True
26. 26.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
27. 27.Which of these is good for training a model? (a) many varied examples (b) only one kind of example (c) wrong labels (d) very few examples
28. 28.🔍 Which is the odd one out? (a) reading number plates (b) inventing a recipe (c) predicting rain (d) unlocking with a face
29. 29.True or false: “add more of the same” adds to bias. (a) False (b) True
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
31. 31.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
33. 33.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
34. 34.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
35. 35.Which of these is a myth about AI? (a) AI has real feelings (b) AI can mix up numbers (c) AI can be wrong (d) AI copies data patterns
36. 36.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) writing quiz questions (c) reading number plates (d) writing a new poem
37. 37.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
38. 38.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) the weather (d) people
39. 39.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
40. 40.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) clear, sharp examples (d) blurry, unclear photos

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