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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 521 · 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.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
  3. 3.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
  4. 4.✨ What does generative AI do? (a) makes new content (b) only adds numbers (c) charges batteries (d) only stores files
  5. 5.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  6. 6.Which of these is the model? (a) naming a new fruit photo (b) recorded spoken words (c) flagging a new email (d) the learned patterns
  7. 7.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  8. 8.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  10. 10.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) True (b) False
  11. 11.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
  12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  13. 13.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
  14. 14.🔍 Which is the odd one out? (a) turning speech to text (b) writing a new poem (c) unlocking with a face (d) suggesting a video
  15. 15.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
  16. 16.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) 500 labelled leaf photos (d) the trained program
  17. 17.True or false: “AI is never wrong” is a myth about AI. (a) True (b) False
  18. 18.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  19. 19.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) labels added at random (d) examples of every type
  20. 20.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
  21. 21.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) an image (c) music or sound
  22. 22.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
  23. 23.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
  24. 24.Which of these is bad for training a model? (a) clear, sharp examples (b) many varied examples (c) copies of one photo (d) correct labels
  25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
  26. 26.🔍 Which is the odd one out? (a) an AI chatbot (b) a map predicting traffic (c) a stopwatch (d) a spam filter
  27. 27.True or false: “examples of every type” is good for training a model. (a) False (b) True
  28. 28.Which of these is not AI? (a) an image generator (b) an AI chatbot (c) a printed timetable (d) photos grouped by face
  29. 29.True or false: “copies of one photo” is good for training a model. (a) True (b) False
  30. 30.True or false: “ask different people” adds to bias. (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can be wrong (c) AI can mix up numbers (d) AI copies data patterns
  32. 32.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) test on one group only (d) check who is missing
  33. 33.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
  34. 34.Which of these describes how a normal program works? (a) gives a likely answer (b) same steps every time (c) spots patterns in data (d) makes a best guess
  35. 35.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recognising (b) recommending (c) generating (d) predicting
  36. 36.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  37. 37.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recommending (c) recognising (d) predicting
  38. 38.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  39. 39.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  40. 40.True or false: “test on one group only” helps reduce bias. (a) True (b) False

Answer key

  1. its training data
  2. few child voices in data
  3. not a real check
  4. makes new content
  5. adds to bias
  6. the learned patterns
  7. past weather records
  8. True
  9. training data
  10. False
  11. not AI
  12. training data
  13. learn from data
  14. writing a new poem
  15. a simple rule is enough
  16. the trained program
  17. True
  18. AI
  19. examples of every type
  20. not AI
  21. music or sound
  22. True
  23. False
  24. copies of one photo
  25. 500 labelled leaf photos
  26. a stopwatch
  27. True
  28. a printed timetable
  29. False
  30. False
  31. AI has real feelings
  32. test on one group only
  33. a myth
  34. same steps every time
  35. predicting
  36. False
  37. predicting
  38. False
  39. AI
  40. False

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