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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 879 · 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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  2. 2.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
  3. 3.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) improves with more data (d) one set rule per case
  4. 4.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  5. 5.True or false: “a soft lullaby melody” asks for music or sound. (a) False (b) True
  6. 6.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
  7. 7.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
  8. 8.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a label (d) a prompt
  9. 9.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  10. 10.Which of these is bad for training a model? (a) photos in many lights (b) many varied examples (c) examples of every type (d) copies of one photo
  11. 11.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
  12. 12.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) True (b) False
  13. 13.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
  14. 14.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) past weather records (d) what training builds
  15. 15.True or false: “a story about a brave ant” asks for an image. (a) False (b) True
  16. 16.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  17. 17.Which of these describes how AI works? (a) follows fixed rules (b) makes a best guess (c) same steps every time (d) does exactly as coded
  18. 18.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
  19. 19.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recommending (b) recognising (c) predicting (d) generating
  20. 20.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) predicting (b) recommending (c) generating (d) recognising
  21. 21.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  22. 22.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  23. 23.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
  24. 24.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) app installer (d) actual information
  25. 25.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
  26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
  27. 27.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
  28. 28.🔍 Which is the odd one out? (a) spotting a sick leaf (b) predicting rain (c) sorting photos by face (d) creating a cartoon
  29. 29.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) True (b) False
  30. 30.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  31. 31.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price
  32. 32.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
  33. 33.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
  34. 34.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
  35. 35.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) skip testing (d) ask different people
  36. 36.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  37. 37.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  38. 38.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  39. 39.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it will shut down (d) it may get it wrong
  40. 40.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new

Answer key

  1. not spam
  2. uses AI
  3. one set rule per case
  4. False
  5. True
  6. False
  7. False
  8. a prompt
  9. needs AI (learning)
  10. copies of one photo
  11. no, check it anyway
  12. False
  13. not a real check
  14. past weather records
  15. False
  16. True
  17. makes a best guess
  18. to see if it works
  19. recommending
  20. predicting
  21. what training builds
  22. a myth
  23. not AI
  24. artificial intelligence
  25. True
  26. 500 labelled leaf photos
  27. False
  28. creating a cartoon
  29. False
  30. good for training
  31. the right answer tag
  32. not a real check
  33. needs AI (learning)
  34. False
  35. ask different people
  36. one-sided data
  37. a normal program
  38. its training data
  39. it may get it wrong
  40. makes something new

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