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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 548 · 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.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
  2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
  3. 3.True or false: “balance the data” helps reduce bias. (a) False (b) True
  4. 4.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) writing a new poem (c) turning speech to text (d) inventing a recipe
  5. 5.🔍 Which is the odd one out? (a) AI always checks facts (b) confident means correct (c) AI is never wrong (d) AI can make up facts
  6. 6.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
  7. 7.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it learns from examples (c) it uses electricity (d) it has a screen
  8. 8.Which of these is not AI? (a) an app translating signs (b) a printed timetable (c) a voice assistant (d) an AI chatbot
  9. 9.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  10. 10.True or false: “see if the book exists” is a real way to check an AI answer. (a) False (b) True
  11. 11.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  12. 12.Which of these describes how a normal program works? (a) learns from examples (b) follows fixed rules (c) gives a likely answer (d) makes a best guess
  13. 13.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) the weather (d) nobody at all
  14. 14.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
  15. 15.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  16. 16.🔍 Which is the odd one out? (a) photos in many lights (b) very few examples (c) clear, sharp examples (d) many varied examples
  17. 17.Which of these uses AI? (a) a calculator (b) voice typing (c) a stopwatch (d) a microwave timer
  18. 18.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  19. 19.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
  20. 20.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
  21. 21.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
  22. 22.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  23. 23.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) labels added at random (d) correct labels
  24. 24.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) copy old unfair choices (d) test on one group only
  25. 25.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
  26. 26.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
  27. 27.Which of these is good for training a model? (a) new data for testing (b) copies of one photo (c) very few examples (d) testing on training data
  28. 28.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  30. 30.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  31. 31.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) 500 labelled leaf photos (d) recorded spoken words
  32. 32.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
  33. 33.🏷️ 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
  34. 34.Which of these uses AI? (a) video suggestions (b) a printed timetable (c) a microwave timer (d) a kitchen weighing scale
  35. 35.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
  36. 36.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a summary (c) a hallucination (d) a password
  37. 37.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) fix wrong labels (d) balance the data
  38. 38.True or false: “new data for testing” is bad for training a model. (a) True (b) False
  39. 39.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  40. 40.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour

Answer key

  1. False
  2. spam
  3. True
  4. turning speech to text
  5. AI can make up facts
  6. uses AI
  7. it learns from examples
  8. a printed timetable
  9. data, model, prediction
  10. True
  11. a normal program
  12. follows fixed rules
  13. people
  14. True
  15. makes something new
  16. very few examples
  17. voice typing
  18. a myth
  19. False
  20. uses AI
  21. not a real check
  22. a real check
  23. correct labels
  24. fix wrong labels
  25. False
  26. sorts or predicts
  27. new data for testing
  28. False
  29. good for training
  30. good for training
  31. naming a new leaf
  32. sorts or predicts
  33. spam
  34. video suggestions
  35. False
  36. a hallucination
  37. use one group only
  38. False
  39. a fact
  40. its training data

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