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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 182 · 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.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  2. 2.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  3. 3.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
  4. 4.True or false: “labels added at random” is good for training a model. (a) True (b) False
  5. 5.🔍 Which is the odd one out? (a) creating a cartoon (b) drafting a letter (c) unlocking with a face (d) writing quiz questions
  6. 6.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) suggesting a video (c) composing a new tune (d) making up a story
  7. 7.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  8. 8.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
  10. 10.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  11. 11.True or false: “a poster of a rainforest” asks for an image. (a) False (b) True
  12. 12.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  14. 14.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) skip testing (d) add varied examples
  15. 15.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can be wrong (c) AI has real feelings (d) AI can mix up numbers
  16. 16.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
  17. 17.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  18. 18.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  19. 19.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
  20. 20.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) checking labels twice (d) only one kind of example
  22. 22.🔍 Which is the odd one out? (a) making up a story (b) writing a new poem (c) spotting spam (d) drafting a letter
  23. 23.True or false: “examples of every type” is good for training a model. (a) False (b) True
  24. 24.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) 500 labelled leaf photos (d) the learned patterns
  25. 25.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
  26. 26.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  27. 27.True or false: “new data for testing” is bad for training a model. (a) True (b) False
  28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
  29. 29.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
  30. 30.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
  31. 31.🔍 Which is the odd one out? (a) spotting spam (b) unlocking with a face (c) sorting photos by face (d) writing a new poem
  32. 32.Which of these is generative AI (it makes something new)? (a) creating a cartoon (b) reading number plates (c) spotting a sick leaf (d) predicting rain
  33. 33.🔍 Which is the odd one out? (a) examples of every type (b) copies of one photo (c) many varied examples (d) checking labels twice
  34. 34.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  35. 35.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
  36. 36.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  37. 37.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  38. 38.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
  39. 39.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) text (c) an image
  40. 40.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) fix wrong labels (d) test on many groups

Answer key

  1. a normal program
  2. good for training
  3. not AI
  4. False
  5. unlocking with a face
  6. suggesting a video
  7. True
  8. not a real check
  9. a prediction
  10. reduces bias
  11. True
  12. True
  13. spam
  14. add varied examples
  15. AI has real feelings
  16. False
  17. adds to bias
  18. False
  19. False
  20. False
  21. only one kind of example
  22. spotting spam
  23. True
  24. 500 labelled leaf photos
  25. not a real check
  26. AI
  27. False
  28. not spam
  29. not a real check
  30. it learns patterns
  31. writing a new poem
  32. creating a cartoon
  33. copies of one photo
  34. a normal program
  35. its training data
  36. False
  37. the trained program
  38. True
  39. music or sound
  40. ignore complaints

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