AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 560 · 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.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
2. 2.Which of these adds to bias? (a) balance the data (b) ignore complaints (c) fix wrong labels (d) test on many groups
3. 3.📚 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
4. 4.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
5. 5.🔍 Which is the odd one out? (a) sorting photos by face (b) unlocking with a face (c) composing a new tune (d) predicting rain
6. 6.Which of these uses AI? (a) an AI chatbot (b) a microwave timer (c) a torch (d) a printed timetable
7. 7.True or false: a book app suggesting a story like your last one is AI recommending something. (a) True (b) False
8. 8.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
9. 9.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
10. 10.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
11. 11.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
12. 12.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
13. 13.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
14. 14.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) no, it follows rules (d) yes, it can think
15. 15.Which of these is good for training a model? (a) testing on training data (b) photos in many lights (c) labels added at random (d) copies of one photo
16. 16.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
17. 17.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) typing a new spoken word (d) naming a new fruit photo
18. 18.True or false: a music app suggesting a song you may like is AI generating something new. (a) False (b) True
19. 19.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
21. 21.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
22. 22.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) drawing a new picture (c) unlocking with a face (d) reading number plates
23. 23.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) printing (d) charging
24. 24.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
25. 25.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
27. 27.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
28. 28.True or false: a camera app naming the flower you point at is AI recommending something. (a) False (b) True
29. 29.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) long answers are true (d) AI can make up facts
30. 30.True or false: “old emails marked spam” is training data. (a) True (b) False
31. 31.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
32. 32.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) inventing a recipe (c) spotting spam (d) drawing a new picture
33. 33.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
34. 34.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
35. 35.🔍 Which is the odd one out? (a) AI can make up facts (b) AI copies data patterns (c) AI can mix up numbers (d) AI has real feelings
36. 36.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
37. 37.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
38. 38.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) voice typing (b) face unlock on a phone (c) an image generator (d) a microwave timer
40. 40.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam

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