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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 758 · 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: an AI chatbot writing a poem about rain is AI predicting something. (a) False (b) True
  2. 2.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
  3. 3.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  4. 4.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) check it on paper (c) never do maths (d) copy it straight away
  5. 5.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  6. 6.Which of these is a fact about AI? (a) AI has real feelings (b) AI can be wrong (c) AI knows everything (d) confident means correct
  7. 7.Which of these describes how AI works? (a) one set rule per case (b) follows fixed rules (c) improves with more data (d) never learns from data
  8. 8.Which of these is not AI? (a) face unlock on a phone (b) photos grouped by face (c) a doorbell (d) an image generator
  9. 9.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
  10. 10.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
  11. 11.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
  12. 12.True or false: “correct labels” is bad for training a model. (a) True (b) False
  13. 13.Which of these is a fact about AI? (a) AI always checks facts (b) AI has real feelings (c) AI is never wrong (d) AI copies data patterns
  14. 14.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  15. 15.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  16. 16.Which of these is bad for training a model? (a) many varied examples (b) copies of one photo (c) photos in many lights (d) clear, sharp examples
  17. 17.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
  18. 18.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) labels added at random (d) photos in many lights
  19. 19.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  20. 20.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
  21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  22. 22.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
  23. 23.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) check who is missing
  24. 24.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) drafting a letter (c) composing a new tune (d) unlocking with a face
  25. 25.Which of these is a fact about AI? (a) AI always checks facts (b) AI knows everything (c) long answers are true (d) AI can mix up numbers
  26. 26.🧮 Which of these is NOT AI? (a) a basic calculator (b) face unlock (c) voice typing (d) a spam filter
  27. 27.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
  28. 28.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
  29. 29.Which of these describes how AI works? (a) one set rule per case (b) uses rules people wrote (c) does exactly as coded (d) gives a likely answer
  30. 30.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
  31. 31.True or false: “many varied examples” is bad for training a model. (a) True (b) False
  32. 32.Which of these is a myth about AI? (a) AI can be wrong (b) AI is never wrong (c) AI can make up facts (d) AI learns from data
  33. 33.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
  34. 34.True or false: “never learns from data” describes how AI works. (a) True (b) False
  35. 35.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  36. 36.True or false: “five quiz questions on fractions” asks for music or sound. (a) True (b) False
  37. 37.Which of these is not AI? (a) face unlock on a phone (b) photos grouped by face (c) voice typing (d) a microwave timer
  38. 38.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) a map predicting traffic (b) a torch (c) a digital watch (d) a fan regulator
  40. 40.True or false: “examples of every type” is good for training a model. (a) True (b) False

Answer key

  1. False
  2. needs AI (learning)
  3. the trained program
  4. check it on paper
  5. AI
  6. AI can be wrong
  7. improves with more data
  8. a doorbell
  9. False
  10. False
  11. no
  12. False
  13. AI copies data patterns
  14. uses AI
  15. one-sided data
  16. copies of one photo
  17. few child voices in data
  18. photos in many lights
  19. False
  20. not AI
  21. the model
  22. sorts or predicts
  23. check who is missing
  24. unlocking with a face
  25. AI can mix up numbers
  26. a basic calculator
  27. a myth
  28. makes something new
  29. gives a likely answer
  30. more varied data
  31. False
  32. AI is never wrong
  33. makes something new
  34. False
  35. a simple rule is enough
  36. False
  37. a microwave timer
  38. False
  39. a map predicting traffic
  40. True

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