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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 575 · 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.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
  2. 2.True or false: “check who is missing” adds to bias. (a) True (b) False
  3. 3.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
  4. 4.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  5. 5.True or false: “confident means correct” is a fact about AI. (a) True (b) False
  6. 6.Which of these helps reduce bias? (a) fix wrong labels (b) copy old unfair choices (c) use one group only (d) skip testing
  7. 7.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) one single photo (d) a song about dogs
  8. 8.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can be wrong (c) AI can mix up numbers (d) AI is never wrong
  9. 9.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) drawing (c) singing (d) predicting
  10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
  11. 11.🔍 Which is the odd one out? (a) testing on training data (b) blurry, unclear photos (c) examples of every type (d) wrong labels
  12. 12.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  13. 13.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  14. 14.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  15. 15.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) very few examples (d) clear, sharp examples
  16. 16.Which of these uses AI? (a) photos grouped by face (b) a microwave timer (c) a torch (d) a calculator
  17. 17.True or false: “test on many groups” adds to bias. (a) False (b) True
  18. 18.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
  19. 19.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  20. 20.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) many varied examples (d) only one kind of example
  21. 21.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  22. 22.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
  23. 23.True or false: “AI can mix up numbers” is a fact about AI. (a) False (b) True
  24. 24.True or false: “a cartoon of a dancing elephant” asks for text. (a) True (b) False
  25. 25.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
  26. 26.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  27. 27.Which of these uses AI? (a) a digital watch (b) a light switch (c) a fan regulator (d) video suggestions
  28. 28.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  29. 29.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) a spam filter (d) face unlock
  30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
  31. 31.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  33. 33.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) only at night (d) no, it follows rules
  34. 34.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  35. 35.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  37. 37.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) balance the data
  38. 38.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) new data for testing (d) wrong labels
  39. 39.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) checking labels twice (d) only one kind of example
  40. 40.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) unlocking with a face (c) composing a new tune (d) creating a cartoon

Answer key

  1. makes something new
  2. False
  3. False
  4. a normal program
  5. False
  6. fix wrong labels
  7. many labelled photos
  8. AI is never wrong
  9. predicting
  10. few child voices in data
  11. examples of every type
  12. uses AI
  13. a normal program
  14. True
  15. very few examples
  16. photos grouped by face
  17. False
  18. a simple rule is enough
  19. a real check
  20. many varied examples
  21. True
  22. True
  23. True
  24. False
  25. False
  26. good for training
  27. video suggestions
  28. needs AI (learning)
  29. a basic calculator
  30. a prediction
  31. False
  32. no
  33. no, it follows rules
  34. the learned patterns
  35. True
  36. the trained program
  37. balance the data
  38. wrong labels
  39. checking labels twice
  40. unlocking with a face

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