AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 537 · 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 of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI is never wrong (d) AI can be wrong
2. 2.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
3. 3.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
4. 4.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) slower to switch on (d) change colour
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
6. 6.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
7. 7.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
8. 8.Which of these is generative AI (it makes something new)? (a) reading number plates (b) spotting a sick leaf (c) unlocking with a face (d) drawing a new picture
9. 9.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI has real feelings (d) AI answers need checking
10. 10.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) a digital watch (b) a light switch (c) a printed timetable (d) an app translating signs
12. 12.Which of these is a myth about AI? (a) AI always checks facts (b) AI learns from data (c) AI copies data patterns (d) AI can make up facts
13. 13.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
14. 14.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
16. 16.🔍 Which is the odd one out? (a) correct labels (b) photos in many lights (c) only one kind of example (d) many varied examples
17. 17.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
18. 18.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
19. 19.True or false: “examples of every type” is good for training a model. (a) False (b) True
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
21. 21.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
22. 22.Which of these uses AI? (a) a light switch (b) a stopwatch (c) a doorbell (d) an AI chatbot
23. 23.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) test on many groups (d) ask different people
25. 25.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) predicting (c) recommending (d) generating
26. 26.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) same steps every time (d) spots patterns in data
27. 27.🔍 Which is the odd one out? (a) reading number plates (b) writing quiz questions (c) composing a new tune (d) inventing a recipe
28. 28.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
29. 29.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
30. 30.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
31. 31.Which of these uses AI? (a) a digital watch (b) a stopwatch (c) a spam filter (d) a fan regulator
32. 32.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) artificial intelligence (d) app installer
33. 33.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
34. 34.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
35. 35.🧮 Is a basic calculator an AI system? (a) only at night (b) no, it follows rules (c) yes, it is smart (d) yes, it can think
36. 36.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
37. 37.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
38. 38.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
39. 39.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
40. 40.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training

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