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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 144 · 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.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) False (b) True
  2. 2.True or false: “a drum beat for a dance” asks for an image. (a) False (b) True
  3. 3.True or false: a camera app naming the flower you point at is AI generating something new. (a) True (b) False
  4. 4.🔍 Which is the odd one out? (a) video suggestions (b) a doorbell (c) a light switch (d) a calculator
  5. 5.True or false: a phone unlocking when it sees your face is AI recognising something. (a) False (b) True
  6. 6.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  7. 7.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) test on many groups
  8. 8.🔍 Which is the odd one out? (a) a digital watch (b) a kitchen weighing scale (c) a microwave timer (d) a spam filter
  9. 9.True or false: “improves with more data” describes how AI works. (a) False (b) True
  10. 10.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
  11. 11.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
  12. 12.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will be perfect (d) it will shut down
  13. 13.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a basic calculator (d) a spam filter
  14. 14.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
  15. 15.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  16. 16.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) guess (c) look in your textbook (d) pick a lucky number
  17. 17.🔍 Which is the odd one out? (a) writing a new poem (b) drafting a letter (c) drawing a new picture (d) sorting photos by face
  18. 18.Which of these is a fact about AI? (a) AI always checks facts (b) AI knows everything (c) AI copies data patterns (d) AI is never wrong
  19. 19.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) labelled fruit photos (d) what training builds
  20. 20.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) ask different people (d) balance the data
  21. 21.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
  22. 22.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) ask different people (d) use one group only
  23. 23.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  24. 24.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  25. 25.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  26. 26.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI has real feelings (d) AI can mix up numbers
  27. 27.Which of these is a myth about AI? (a) AI can make up facts (b) AI always checks facts (c) AI answers need checking (d) AI learns from data
  28. 28.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
  29. 29.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) many varied examples (d) very few examples
  30. 30.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
  31. 31.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  32. 32.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  33. 33.Which of these is not AI? (a) a spam filter (b) photos grouped by face (c) a calculator (d) video suggestions
  34. 34.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
  35. 35.True or false: counting the words in an essay only needs a simple fixed rule. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  37. 37.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
  38. 38.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) writing a new poem (c) making up a story (d) inventing a recipe
  39. 39.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) a song about dogs (d) one single photo
  40. 40.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) False (b) True

Answer key

  1. False
  2. False
  3. False
  4. video suggestions
  5. True
  6. False
  7. test on many groups
  8. a spam filter
  9. True
  10. AI
  11. needs AI (learning)
  12. it may get it wrong
  13. a basic calculator
  14. False
  15. False
  16. look in your textbook
  17. sorting photos by face
  18. AI copies data patterns
  19. labelled fruit photos
  20. test on one group only
  21. uses AI
  22. ask different people
  23. training data
  24. one-sided data
  25. True
  26. AI can mix up numbers
  27. AI always checks facts
  28. a real check
  29. very few examples
  30. not a real check
  31. bad for training
  32. one-sided data
  33. a calculator
  34. False
  35. True
  36. the learned patterns
  37. not AI
  38. spotting spam
  39. many labelled photos
  40. True

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