AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 571 · 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.🔍 Which is the odd one out? (a) an image generator (b) a spam filter (c) a calculator (d) a voice assistant
2. 2.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
3. 3.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
4. 4.Which of these is bad for training a model? (a) wrong labels (b) checking labels twice (c) examples of every type (d) photos in many lights
5. 5.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
6. 6.Which of these is generative AI (it makes something new)? (a) reading number plates (b) unlocking with a face (c) spotting spam (d) composing a new tune
7. 7.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) turning speech to text (b) drafting a letter (c) reading number plates (d) sorting photos by face
9. 9.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
10. 10.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a hallucination (c) a password (d) a summary
11. 11.True or false: “AI is never wrong” is a myth about AI. (a) False (b) True
12. 12.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) copy it straight away (c) check it on paper (d) ask it to hurry
13. 13.🔍 Which is the odd one out? (a) long answers are true (b) confident means correct (c) AI copies data patterns (d) AI has real feelings
14. 14.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
15. 15.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
16. 16.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
17. 17.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
18. 18.Which of these uses AI? (a) a microwave timer (b) a digital watch (c) a map predicting traffic (d) a stopwatch
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
20. 20.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) predicting rain (c) unlocking with a face (d) creating a cartoon
21. 21.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
22. 22.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
23. 23.Which of these is good for training a model? (a) checking labels twice (b) labels added at random (c) copies of one photo (d) wrong labels
24. 24.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) ignore complaints (d) ask different people
25. 25.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
26. 26.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) a text description (d) the weather
27. 27.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
28. 28.True or false: “labelled fruit photos” is training data. (a) False (b) True
29. 29.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) True (b) False
30. 30.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, it gets sad (c) yes, just like us (d) no, it finds patterns
31. 31.True or false: a camera app naming the flower you point at is AI recommending something. (a) False (b) True
32. 32.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) test on many groups (d) use one group only
33. 33.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) spotting a sick leaf (c) reading number plates (d) sorting photos by face
34. 34.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
35. 35.Which of these is a myth about AI? (a) AI can be wrong (b) AI always checks facts (c) AI can make up facts (d) AI copies data patterns
36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
37. 37.📱 What is the AI doing here: a video app suggesting what to watch next? (a) generating (b) predicting (c) recognising (d) recommending
38. 38.True or false: “skip testing” adds to bias. (a) True (b) False
39. 39.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
40. 40.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos

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