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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 288 · 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.✨ What does generative AI do? (a) makes new content (b) only adds numbers (c) charges batteries (d) only stores files
  2. 2.🏷️ 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
  3. 3.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) wrong labels (d) examples of every type
  4. 4.Which of these is good for training a model? (a) copies of one photo (b) labels added at random (c) blurry, unclear photos (d) correct labels
  5. 5.🔍 Which is the odd one out? (a) AI learns from data (b) AI can be wrong (c) AI can make up facts (d) confident means correct
  6. 6.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  7. 7.🏷️ 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
  8. 8.True or false: “add varied examples” adds to bias. (a) True (b) False
  9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
  10. 10.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
  11. 11.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  12. 12.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  13. 13.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can make up facts (c) AI can mix up numbers (d) AI always checks facts
  14. 14.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
  15. 15.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  16. 16.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  17. 17.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  18. 18.True or false: a camera app naming the flower you point at is AI generating something new. (a) True (b) False
  19. 19.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
  20. 20.True or false: a car camera reading a speed sign is AI generating something new. (a) True (b) False
  21. 21.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  22. 22.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) cooking (d) recommending
  23. 23.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
  24. 24.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  25. 25.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
  26. 26.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
  27. 27.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  28. 28.Which of these is generative AI (it makes something new)? (a) writing a new poem (b) reading number plates (c) sorting photos by face (d) spotting a sick leaf
  29. 29.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) test on many groups (d) ignore complaints
  30. 30.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) use one group only (d) copy old unfair choices
  31. 31.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) the trained program (d) naming a new leaf
  32. 32.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  33. 33.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
  34. 34.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
  35. 35.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
  37. 37.🎨 An image generator makes a picture from… (a) a phone number (b) a text description (c) the weather (d) your password
  38. 38.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) an image (c) music or sound
  39. 39.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
  40. 40.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True

Answer key

  1. makes new content
  2. not spam
  3. wrong labels
  4. correct labels
  5. confident means correct
  6. True
  7. spam
  8. False
  9. spam
  10. True
  11. a normal program
  12. AI
  13. AI always checks facts
  14. no, check it anyway
  15. False
  16. AI
  17. adds to bias
  18. False
  19. a myth
  20. False
  21. False
  22. recommending
  23. uses AI
  24. old emails marked spam
  25. not AI
  26. uses AI
  27. a normal program
  28. writing a new poem
  29. test on many groups
  30. check who is missing
  31. recorded spoken words
  32. good for training
  33. bias from data
  34. False
  35. a prediction
  36. few child voices in data
  37. a text description
  38. music or sound
  39. True
  40. False

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