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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 527 · 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: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
  2. 2.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  3. 3.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  4. 4.True or false: “examples of every type” is good for training a model. (a) True (b) False
  5. 5.Which of these is good for training a model? (a) testing on training data (b) photos in many lights (c) only one kind of example (d) very few examples
  6. 6.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
  7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  8. 8.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  9. 9.True or false: “the learned patterns” is the model. (a) False (b) True
  10. 10.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
  11. 11.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  12. 12.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) False (b) True
  13. 13.Which of these is a fact about AI? (a) AI can be wrong (b) AI is never wrong (c) AI always checks facts (d) long answers are true
  14. 14.True or false: “learns from examples” describes how AI works. (a) False (b) True
  15. 15.True or false: “use one group only” adds to bias. (a) True (b) False
  16. 16.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
  17. 17.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) recommending (d) charging
  18. 18.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
  19. 19.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  20. 20.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
  21. 21.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
  22. 22.True or false: “write a poem about the monsoon” asks for text. (a) False (b) True
  23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  24. 24.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) flagging a new email (d) recorded spoken words
  25. 25.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
  26. 26.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  27. 27.🔍 Which is the odd one out? (a) confident means correct (b) AI can mix up numbers (c) AI answers need checking (d) AI can be wrong
  28. 28.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) drawing (c) sleeping (d) predicting
  29. 29.True or false: “write a poem about the monsoon” asks for music or sound. (a) False (b) True
  30. 30.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  31. 31.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  32. 32.Which of these is a fact about AI? (a) AI always checks facts (b) confident means correct (c) AI copies data patterns (d) long answers are true
  33. 33.🔍 Which is the odd one out? (a) AI knows everything (b) AI is never wrong (c) long answers are true (d) AI can mix up numbers
  34. 34.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) recommending (c) predicting (d) generating
  35. 35.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) 500 labelled leaf photos (d) the learned patterns
  36. 36.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  37. 37.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
  38. 38.Which of these uses AI? (a) a torch (b) a calculator (c) a spam filter (d) a stopwatch
  39. 39.🔍 Which is the odd one out? (a) face unlock on a phone (b) voice typing (c) an AI chatbot (d) a stopwatch
  40. 40.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) spotting spam (c) drafting a letter (d) suggesting a video

Answer key

  1. False
  2. a myth
  3. adds to bias
  4. True
  5. photos in many lights
  6. True
  7. 500 labelled leaf photos
  8. good for training
  9. True
  10. True
  11. good for training
  12. False
  13. AI can be wrong
  14. True
  15. True
  16. sorts or predicts
  17. recommending
  18. its training data
  19. the trained program
  20. bad for training
  21. bad for training
  22. True
  23. reduces bias
  24. flagging a new email
  25. False
  26. a myth
  27. confident means correct
  28. predicting
  29. False
  30. True
  31. False
  32. AI copies data patterns
  33. AI can mix up numbers
  34. predicting
  35. the learned patterns
  36. not AI
  37. bias from data
  38. a spam filter
  39. a stopwatch
  40. drafting a letter

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