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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 285 · 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 adds to bias? (a) balance the data (b) check who is missing (c) fix wrong labels (d) use one group only
  2. 2.🔍 Which is the odd one out? (a) new data for testing (b) blurry, unclear photos (c) correct labels (d) examples of every type
  3. 3.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  4. 4.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  5. 5.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
  6. 6.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) AI has real feelings (d) AI can mix up numbers
  7. 7.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
  8. 8.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  9. 9.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
  10. 10.Which of these helps reduce bias? (a) use one group only (b) ask different people (c) add more of the same (d) skip testing
  11. 11.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
  12. 12.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
  13. 13.Which of these is not AI? (a) a spam filter (b) a stopwatch (c) video suggestions (d) face unlock on a phone
  14. 14.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) test on many groups (d) use one group only
  15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  16. 16.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  17. 17.True or false: “the trained program” is the model. (a) True (b) False
  18. 18.🔍 Which is the odd one out? (a) a map predicting traffic (b) a light switch (c) an AI chatbot (d) voice typing
  19. 19.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  20. 20.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
  21. 21.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  22. 22.True or false: “a picture of a castle made of mangoes” asks for text. (a) True (b) False
  23. 23.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  24. 24.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) an image (c) music or sound
  25. 25.True or false: “correct labels” is bad for training a model. (a) False (b) True
  26. 26.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
  27. 27.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
  28. 28.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) many varied examples (d) copies of one photo
  29. 29.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
  30. 30.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  31. 31.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  32. 32.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) balance the data (d) fix wrong labels
  33. 33.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
  34. 34.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
  35. 35.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  36. 36.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect
  37. 37.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
  38. 38.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) True (b) False
  39. 39.Which of these uses AI? (a) a printed timetable (b) a kitchen weighing scale (c) a digital watch (d) an image generator
  40. 40.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) nobody at all (d) people

Answer key

  1. use one group only
  2. blurry, unclear photos
  3. False
  4. a real check
  5. False
  6. AI can mix up numbers
  7. True
  8. True
  9. True
  10. ask different people
  11. bad for training
  12. False
  13. a stopwatch
  14. test on many groups
  15. the model
  16. reduces bias
  17. True
  18. a light switch
  19. the trained program
  20. False
  21. balanced data
  22. False
  23. one-sided data
  24. an image
  25. False
  26. better at its task
  27. bad for training
  28. many varied examples
  29. not AI
  30. makes something new
  31. True
  32. ignore complaints
  33. False
  34. its training data
  35. adds to bias
  36. it may get it wrong
  37. False
  38. True
  39. an image generator
  40. people

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