AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 789 · 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: “AI is never wrong” is a myth about AI. (a) False (b) True
2. 2.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
3. 3.True or false: “it has a neat layout” is a real way to check an AI answer. (a) True (b) False
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
5. 5.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
6. 6.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) copy old unfair choices (d) ignore complaints
7. 7.Which of these is bad for training a model? (a) correct labels (b) wrong labels (c) new data for testing (d) many varied examples
8. 8.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
10. 10.Which of these uses AI? (a) a torch (b) an AI chatbot (c) a calculator (d) a kitchen weighing scale
11. 11.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
12. 12.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) check it on paper (c) ask it to hurry (d) never do maths
13. 13.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
14. 14.Which of these is bad for training a model? (a) only one kind of example (b) photos in many lights (c) examples of every type (d) clear, sharp examples
15. 15.Which of these is a fact about AI? (a) AI knows everything (b) AI can mix up numbers (c) long answers are true (d) AI has real feelings
16. 16.True or false: “test on one group only” helps reduce bias. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) AI can mix up numbers (b) confident means correct (c) AI has real feelings (d) long answers are true
18. 18.True or false: recognising a bird from its song needs AI that learns from examples. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) long answers are true (b) AI copies data patterns (c) AI answers need checking (d) AI can mix up numbers
20. 20.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
21. 21.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) the trained program (d) recorded spoken words
22. 22.True or false: “learns from examples” describes how AI works. (a) False (b) True
23. 23.Which of these is good for training a model? (a) new data for testing (b) very few examples (c) labels added at random (d) testing on training data
24. 24.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) music or sound (c) text
25. 25.🔍 Which is the odd one out? (a) making up a story (b) reading number plates (c) composing a new tune (d) drafting a letter
26. 26.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) yes, it is smart (d) no, it follows rules
27. 27.True or false: an AI chatbot writing a poem about rain is AI recognising something. (a) False (b) True
28. 28.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
29. 29.Which of these is a fact about AI? (a) AI can be wrong (b) AI always checks facts (c) AI knows everything (d) AI has real feelings
30. 30.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
31. 31.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
33. 33.True or false: “new data for testing” is good for training a model. (a) False (b) True
34. 34.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
35. 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) writing a new poem (c) composing a new tune (d) suggesting a video
36. 36.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
37. 37.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
38. 38.True or false: finding 10% of a price needs AI that learns from examples. (a) True (b) False
39. 39.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) labels added at random (b) very few examples (c) correct labels (d) copies of one photo

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