AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 555 · 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: “photos in many lights” is bad for training a model. (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) ask different people (d) use one group only
3. 3.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
4. 4.🔍 Which is the odd one out? (a) a calculator (b) a voice assistant (c) a digital watch (d) a printed timetable
5. 5.Which of these is not AI? (a) a digital watch (b) photos grouped by face (c) voice typing (d) a spam filter
6. 6.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
7. 7.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) False (b) True
8. 8.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
9. 9.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
10. 10.Which of these is a fact about AI? (a) AI has real feelings (b) AI can mix up numbers (c) long answers are true (d) AI knows everything
11. 11.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
12. 12.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
13. 13.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) an AI chatbot (c) video suggestions (d) face unlock on a phone
14. 14.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) predicting (b) recognising (c) generating (d) recommending
15. 15.True or false: “check who is missing” adds to bias. (a) True (b) False
16. 16.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
18. 18.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
19. 19.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
20. 20.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
21. 21.Which of these is the model? (a) typing a new spoken word (b) flagging a new email (c) what training builds (d) naming a new leaf
22. 22.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) labels added at random (d) checking labels twice
23. 23.Which of these is bad for training a model? (a) only one kind of example (b) examples of every type (c) many varied examples (d) clear, sharp examples
24. 24.True or false: “recorded spoken words” is the model. (a) False (b) True
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
26. 26.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
28. 28.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) photos in many lights (d) only one kind of example
29. 29.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) predicting (c) recommending (d) recognising
30. 30.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.Which of these is generative AI (it makes something new)? (a) inventing a recipe (b) reading number plates (c) suggesting a video (d) predicting rain
32. 32.Which of these is a myth about AI? (a) AI can make up facts (b) AI answers need checking (c) AI can be wrong (d) long answers are true
33. 33.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) testing on training data (d) many varied examples
34. 34.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
35. 35.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
36. 36.Which of these is generative AI (it makes something new)? (a) writing a new poem (b) unlocking with a face (c) suggesting a video (d) spotting a sick leaf
37. 37.Which of these uses AI? (a) face unlock on a phone (b) a fan regulator (c) a doorbell (d) a calculator
38. 38.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
39. 39.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
40. 40.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recommending (b) predicting (c) generating (d) recognising

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