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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 922 · 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.Which of these is a prediction? (a) tomorrow’s rain guess (b) the trained program (c) labelled fruit photos (d) 500 labelled leaf photos
  2. 2.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) use one group only (d) skip testing
  3. 3.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
  4. 4.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
  5. 5.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
  6. 6.True or false: “only one kind of example” is good for training a model. (a) True (b) False
  7. 7.🏷️ 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
  8. 8.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
  9. 9.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
  10. 10.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
  11. 11.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
  12. 12.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
  13. 13.🔍 Which is the odd one out? (a) photos grouped by face (b) a doorbell (c) video suggestions (d) an image generator
  14. 14.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
  15. 15.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only adds numbers (d) only stores files
  16. 16.True or false: a video app suggesting what to watch next is AI recommending something. (a) True (b) False
  17. 17.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  18. 18.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
  19. 19.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
  20. 20.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
  21. 21.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) recommending (d) cooking
  22. 22.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  23. 23.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recognising (b) recommending (c) predicting (d) generating
  24. 24.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
  25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  26. 26.🔍 Which is the odd one out? (a) very few examples (b) examples of every type (c) checking labels twice (d) many varied examples
  27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
  28. 28.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  29. 29.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  30. 30.True or false: “AI has real feelings” is a myth about AI. (a) True (b) False
  31. 31.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  32. 32.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
  33. 33.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  34. 34.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  35. 35.🔍 Which is the odd one out? (a) examples of every type (b) clear, sharp examples (c) only one kind of example (d) new data for testing
  36. 36.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) text (c) an image
  37. 37.🔍 Which is the odd one out? (a) video suggestions (b) a calculator (c) a digital watch (d) a fan regulator
  38. 38.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) face unlock (d) a spam filter
  39. 39.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
  40. 40.True or false: “test on many groups” helps reduce bias. (a) False (b) True

Answer key

  1. tomorrow’s rain guess
  2. test on many groups
  3. no, it can be wrong
  4. no, it finds patterns
  5. its training data
  6. False
  7. not spam
  8. more varied data
  9. False
  10. False
  11. False
  12. good for training
  13. a doorbell
  14. good for training
  15. makes new content
  16. True
  17. data, model, prediction
  18. a real check
  19. True
  20. True
  21. recommending
  22. reduces bias
  23. recommending
  24. True
  25. the model
  26. very few examples
  27. spam
  28. a normal program
  29. the trained program
  30. True
  31. uses AI
  32. False
  33. needs AI (learning)
  34. False
  35. only one kind of example
  36. music or sound
  37. video suggestions
  38. a basic calculator
  39. True
  40. True

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