AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 768 · 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) face unlock on a phone (b) voice typing (c) a fan regulator (d) an image generator
2. 2.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) sorting photos by face (c) predicting rain (d) spotting spam
3. 3.Which of these is bad for training a model? (a) checking labels twice (b) new data for testing (c) blurry, unclear photos (d) photos in many lights
4. 4.Which of these is bad for training a model? (a) clear, sharp examples (b) examples of every type (c) photos in many lights (d) wrong labels
5. 5.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
6. 6.Which of these is the model? (a) old emails marked spam (b) what training builds (c) typing a new spoken word (d) 500 labelled leaf photos
7. 7.True or false: “test on one group only” helps reduce bias. (a) False (b) True
8. 8.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
9. 9.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
11. 11.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it learns from examples (d) it is always right
12. 12.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
13. 13.Which of these uses AI? (a) a doorbell (b) a calculator (c) an AI chatbot (d) a printed timetable
14. 14.🔍 Which is the odd one out? (a) a map predicting traffic (b) an AI chatbot (c) a voice assistant (d) a kitchen weighing scale
15. 15.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) use one group only (d) add more of the same
16. 16.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) asks a person (d) predicts likely words
17. 17.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
18. 18.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
19. 19.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) check who is missing (d) fix wrong labels
20. 20.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
21. 21.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) singing (d) drawing
22. 22.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) actual information (d) app installer
23. 23.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) no, it finds patterns (c) yes, just like us (d) only on weekends
24. 24.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
25. 25.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) stop studying (d) trust the textbook
26. 26.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) clean screens (d) charge faster
27. 27.🔍 Which is the odd one out? (a) labels added at random (b) clear, sharp examples (c) very few examples (d) only one kind of example
28. 28.True or false: “test on many groups” adds to bias. (a) False (b) True
29. 29.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
30. 30.Which of these uses AI? (a) a doorbell (b) a microwave timer (c) a kitchen weighing scale (d) voice typing
31. 31.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
32. 32.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
33. 33.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the learned patterns
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
35. 35.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
36. 36.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
37. 37.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
38. 38.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
39. 39.Which of these is generative AI (it makes something new)? (a) predicting rain (b) reading number plates (c) writing a new poem (d) suggesting a video
40. 40.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True

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