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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 315 · 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.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  2. 2.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
  3. 3.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
  4. 4.True or false: an AI chatbot writing a story about a lost kite is AI predicting something. (a) True (b) False
  5. 5.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
  6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  7. 7.🔍 Which is the odd one out? (a) AI can be wrong (b) AI answers need checking (c) AI can mix up numbers (d) AI always checks facts
  8. 8.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) clear, sharp examples (d) testing on training data
  9. 9.🔍 Which is the odd one out? (a) inventing a recipe (b) creating a cartoon (c) suggesting a video (d) making up a story
  10. 10.🏠 AI or not AI: an app translating signs? (a) not AI (b) uses AI
  11. 11.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  12. 12.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
  13. 13.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  14. 14.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
  15. 15.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) spotting spam (c) reading number plates (d) drafting a letter
  16. 16.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
  17. 17.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) flagging a new email (d) 500 labelled leaf photos
  18. 18.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) recognising (c) generating (d) recommending
  19. 19.🔍 Which is the odd one out? (a) spotting spam (b) turning speech to text (c) writing a new poem (d) unlocking with a face
  20. 20.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI answers need checking (c) long answers are true (d) AI copies data patterns
  21. 21.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
  22. 22.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
  23. 23.Which of these describes how a normal program works? (a) does exactly as coded (b) makes a best guess (c) gives a likely answer (d) handles unseen examples
  24. 24.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  25. 25.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  26. 26.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
  27. 27.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  29. 29.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
  30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  31. 31.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) text (c) an image
  32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  33. 33.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
  34. 34.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
  35. 35.True or false: “a logo idea for the eco club” asks for music or sound. (a) True (b) False
  36. 36.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  37. 37.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
  38. 38.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a password (c) a summary (d) a backup
  39. 39.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) forget everything (d) better at its task
  40. 40.Which of these is generative AI (it makes something new)? (a) reading number plates (b) writing a new poem (c) sorting photos by face (d) spotting a sick leaf

Answer key

  1. reduces bias
  2. True
  3. True
  4. False
  5. bad for training
  6. adds to bias
  7. AI always checks facts
  8. clear, sharp examples
  9. suggesting a video
  10. uses AI
  11. sorts or predicts
  12. sorts or predicts
  13. True
  14. needs AI (learning)
  15. drafting a letter
  16. True
  17. 500 labelled leaf photos
  18. recognising
  19. writing a new poem
  20. long answers are true
  21. False
  22. uses AI
  23. does exactly as coded
  24. False
  25. a normal program
  26. the right answer tag
  27. bad for training
  28. not spam
  29. False
  30. reduces bias
  31. an image
  32. a prediction
  33. True
  34. makes something new
  35. False
  36. data, model, prediction
  37. makes something new
  38. a hallucination
  39. better at its task
  40. writing a new poem

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