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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 15 · 40 questions
TalentJR

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.

NameDateTime takenScore ___ / 40
  1. 1.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) add more of the same (d) ignore complaints
  2. 2.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
  3. 3.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
  4. 4.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can be wrong (c) AI always checks facts (d) AI answers need checking
  5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
  6. 6.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  7. 7.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
  8. 8.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) False (b) True
  9. 9.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
  10. 10.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) sleeping (c) singing (d) predicting
  11. 11.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
  12. 12.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
  13. 13.True or false: “rain sound effects for a play” asks for an image. (a) False (b) True
  14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  15. 15.True or false: “never learns from data” describes how AI works. (a) False (b) True
  16. 16.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
  17. 17.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) naming a new leaf (d) the trained program
  18. 18.Which of these helps reduce bias? (a) ask different people (b) ignore complaints (c) add more of the same (d) test on one group only
  19. 19.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
  20. 20.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
  21. 21.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
  22. 22.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a summary (c) a hallucination (d) a backup
  23. 23.True or false: “wrong labels” is good for training a model. (a) True (b) False
  24. 24.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
  25. 25.True or false: “it answered quickly” is a real way to check an AI answer. (a) True (b) False
  26. 26.🔍 Which is the odd one out? (a) very few examples (b) clear, sharp examples (c) photos in many lights (d) new data for testing
  27. 27.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
  28. 28.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) predicting rain (c) writing a new poem (d) drafting a letter
  29. 29.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  30. 30.Which of these is not AI? (a) photos grouped by face (b) an AI chatbot (c) an app translating signs (d) a doorbell
  31. 31.True or false: a book app suggesting a story like your last one is AI recognising something. (a) True (b) False
  32. 32.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) add varied examples (d) ignore complaints
  33. 33.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recognising (b) predicting (c) generating (d) recommending
  34. 34.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
  35. 35.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) look in your textbook (c) guess (d) pick a lucky number
  36. 36.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
  37. 37.True or false: “checking labels twice” is good for training a model. (a) True (b) False
  38. 38.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  39. 39.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True

Answer key

  1. add varied examples
  2. False
  3. no, it finds patterns
  4. AI always checks facts
  5. bias from data
  6. 500 labelled leaf photos
  7. True
  8. True
  9. bad for training
  10. predicting
  11. its training data
  12. True
  13. False
  14. training data
  15. False
  16. a myth
  17. the trained program
  18. ask different people
  19. uses AI
  20. True
  21. sorts or predicts
  22. a hallucination
  23. False
  24. not a real check
  25. False
  26. very few examples
  27. True
  28. predicting rain
  29. bad for training
  30. a doorbell
  31. False
  32. add varied examples
  33. recommending
  34. learn from data
  35. look in your textbook
  36. sorts or predicts
  37. True
  38. makes something new
  39. a simple rule is enough
  40. True

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