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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 618 · 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.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a hallucination (c) a summary (d) a password
  2. 2.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
  3. 3.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  4. 4.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  5. 5.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
  6. 6.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
  7. 7.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) suggesting a video (c) writing a new poem (d) composing a new tune
  8. 8.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) flagging a new email (d) recorded spoken words
  9. 9.Which of these is not AI? (a) video suggestions (b) a spam filter (c) a digital watch (d) photos grouped by face
  10. 10.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  11. 11.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) an image (c) music or sound
  12. 12.🔍 Which is the odd one out? (a) a voice assistant (b) a kitchen weighing scale (c) a digital watch (d) a calculator
  13. 13.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
  14. 14.Which of these uses AI? (a) a microwave timer (b) voice typing (c) a kitchen weighing scale (d) a doorbell
  15. 15.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) ignore complaints (d) copy old unfair choices
  16. 16.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
  18. 18.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  19. 19.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
  20. 20.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) confident means correct (d) AI copies data patterns
  21. 21.True or false: an AI chatbot writing a poem about rain is AI recommending something. (a) True (b) False
  22. 22.True or false: “the learned patterns” is the model. (a) False (b) True
  23. 23.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
  24. 24.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) clear, sharp examples (d) wrong labels
  25. 25.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) writing a new poem (c) sorting photos by face (d) unlocking with a face
  26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
  27. 27.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) the trained program (d) tomorrow’s rain guess
  28. 28.🔍 Which is the odd one out? (a) inventing a recipe (b) making up a story (c) writing quiz questions (d) spotting spam
  29. 29.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a text description (d) a phone number
  30. 30.🔍 Which is the odd one out? (a) AI can be wrong (b) AI knows everything (c) AI has real feelings (d) AI is never wrong
  31. 31.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) look in your textbook (c) pick a lucky number (d) guess
  32. 32.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
  33. 33.🤔 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
  34. 34.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) a spam filter (d) face unlock
  35. 35.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  36. 36.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
  37. 37.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
  38. 38.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) copy it straight away (c) check it on paper (d) ask it to hurry
  39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  40. 40.🤖 Who builds and trains AI systems? (a) the Moon (b) nobody at all (c) the weather (d) people

Answer key

  1. a hallucination
  2. sorts or predicts
  3. not AI
  4. sorts or predicts
  5. to see if it works
  6. False
  7. suggesting a video
  8. flagging a new email
  9. a digital watch
  10. True
  11. text
  12. a voice assistant
  13. makes something new
  14. voice typing
  15. fix wrong labels
  16. adds to bias
  17. spam
  18. not a real check
  19. a real check
  20. AI copies data patterns
  21. False
  22. True
  23. False
  24. clear, sharp examples
  25. writing a new poem
  26. spam
  27. the trained program
  28. spotting spam
  29. a text description
  30. AI can be wrong
  31. look in your textbook
  32. a real check
  33. no, check it anyway
  34. a basic calculator
  35. one-sided data
  36. a real check
  37. False
  38. check it on paper
  39. training data
  40. people

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