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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 342 · 40 questions
TalentJR

AI tip (Fair data, fairer AI): Bias usually comes from the training data: if a group is missing or shown in only one way, the model copies that. One-sided data: one age group, only ripe mangoes, only adult voices, only neat handwriting. Balanced data: many ages, colours, voices, regions and styles. Reduce bias: add varied examples, check who is missing, test on many groups, fix wrong labels and listen to complaints.

NameDateTime takenScore ___ / 40
  1. 1.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) balance the data (d) ask different people
  2. 2.True or false: “ask different people” helps reduce bias. (a) True (b) False
  3. 3.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  4. 4.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) add varied examples (d) skip testing
  5. 5.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  6. 6.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  7. 7.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  8. 8.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  9. 9.Which of these adds to bias? (a) use one group only (b) check who is missing (c) fix wrong labels (d) test on many groups
  10. 10.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  11. 11.True or false: “check who is missing” adds to bias. (a) False (b) True
  12. 12.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  13. 13.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  15. 15.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) add varied examples (d) use one group only
  16. 16.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  17. 17.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  18. 18.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
  19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
  20. 20.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  21. 21.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  22. 22.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  23. 23.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  24. 24.True or false: “skip testing” adds to bias. (a) False (b) True
  25. 25.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  26. 26.True or false: “use one group only” helps reduce bias. (a) False (b) True
  27. 27.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) ignore complaints (d) skip testing
  28. 28.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  29. 29.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  30. 30.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) ask different people (d) ignore complaints
  31. 31.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  32. 32.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  33. 33.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
  34. 34.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) ignore complaints (d) use one group only
  35. 35.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  36. 36.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  37. 37.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) ignore complaints (d) fix wrong labels
  38. 38.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) balance the data (d) use one group only
  39. 39.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) test on many groups (d) add varied examples

Answer key

  1. test on one group only
  2. True
  3. True
  4. skip testing
  5. adds to bias
  6. balanced data
  7. its training data
  8. balanced data
  9. use one group only
  10. reduces bias
  11. False
  12. False
  13. reduces bias
  14. one-sided data
  15. add varied examples
  16. False
  17. True
  18. more varied data
  19. bias from data
  20. adds to bias
  21. True
  22. one-sided data
  23. True
  24. True
  25. True
  26. False
  27. balance the data
  28. reduces bias
  29. False
  30. ignore complaints
  31. one-sided data
  32. one-sided data
  33. few child voices in data
  34. check who is missing
  35. adds to bias
  36. balanced data
  37. fix wrong labels
  38. balance the data
  39. False
  40. skip testing

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