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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 816 · 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 of these is bad for training a model? (a) new data for testing (b) many varied examples (c) wrong labels (d) clear, sharp examples
  2. 2.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) gives a likely answer (d) one set rule per case
  3. 3.Which of these is generative AI (it makes something new)? (a) reading number plates (b) predicting rain (c) suggesting a video (d) drawing a new picture
  4. 4.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) clear, sharp examples (d) examples of every type
  5. 5.🔍 Which is the odd one out? (a) spotting spam (b) predicting rain (c) drawing a new picture (d) unlocking with a face
  6. 6.Which of these is a fact about AI? (a) AI knows everything (b) AI answers need checking (c) confident means correct (d) long answers are true
  7. 7.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  8. 8.Which of these helps reduce bias? (a) add varied examples (b) add more of the same (c) ignore complaints (d) test on one group only
  9. 9.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  10. 10.Which of these is not AI? (a) face unlock on a phone (b) a stopwatch (c) a map predicting traffic (d) photos grouped by face
  11. 11.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
  12. 12.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
  13. 13.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) only at night (d) no, it follows rules
  14. 14.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) suggesting a video (c) writing quiz questions (d) writing a new poem
  15. 15.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  16. 16.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
  17. 17.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
  18. 18.True or false: “AI always checks facts” is a fact about AI. (a) True (b) False
  19. 19.True or false: a music app suggesting a song you may like is AI recommending something. (a) True (b) False
  20. 20.True or false: “only one kind of example” is good for training a model. (a) True (b) False
  21. 21.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) text (c) an image
  22. 22.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) music or sound (b) text (c) an image
  23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  24. 24.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) recommending (c) printing (d) charging
  25. 25.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) naming a new leaf
  26. 26.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) add more of the same (d) skip testing
  27. 27.✨ What does generative AI do? (a) only adds numbers (b) charges batteries (c) makes new content (d) only stores files
  28. 28.🤖 Who builds and trains AI systems? (a) people (b) the weather (c) the Moon (d) nobody at all
  29. 29.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
  30. 30.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) balance the data (d) skip testing
  31. 31.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI answers need checking (c) AI can be wrong (d) AI knows everything
  33. 33.🔍 Which is the odd one out? (a) a doorbell (b) voice typing (c) a spam filter (d) video suggestions
  34. 34.Which of these is AI that sorts, spots or predicts (not generative)? (a) sorting photos by face (b) making up a story (c) creating a cartoon (d) writing a new poem
  35. 35.True or false: “correct labels” is bad for training a model. (a) False (b) True
  36. 36.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  37. 37.True or false: “confident means correct” is a myth about AI. (a) True (b) False
  38. 38.🔍 Which is the odd one out? (a) AI knows everything (b) AI has real feelings (c) AI copies data patterns (d) AI is never wrong
  39. 39.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) a doorbell (b) a torch (c) video suggestions (d) a light switch

Answer key

  1. wrong labels
  2. gives a likely answer
  3. drawing a new picture
  4. very few examples
  5. drawing a new picture
  6. AI answers need checking
  7. past weather records
  8. add varied examples
  9. one-sided data
  10. a stopwatch
  11. False
  12. True
  13. no, it follows rules
  14. suggesting a video
  15. AI
  16. False
  17. not AI
  18. False
  19. True
  20. False
  21. an image
  22. music or sound
  23. reduces bias
  24. recommending
  25. 500 labelled leaf photos
  26. test on many groups
  27. makes new content
  28. people
  29. uses AI
  30. balance the data
  31. True
  32. AI knows everything
  33. a doorbell
  34. sorting photos by face
  35. False
  36. to see if it works
  37. True
  38. AI copies data patterns
  39. True
  40. video suggestions

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