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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 535 · 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.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  2. 2.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  3. 3.True or false: “skip testing” adds to bias. (a) False (b) True
  4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  5. 5.True or false: “ask different people” helps reduce bias. (a) False (b) True
  6. 6.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  7. 7.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  8. 8.Which of these adds to bias? (a) fix wrong labels (b) add more of the same (c) check who is missing (d) add varied examples
  9. 9.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  10. 10.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) balance the data (d) fix wrong labels
  11. 11.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  12. 12.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  13. 13.True or false: “ask different people” adds to bias. (a) False (b) True
  14. 14.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
  15. 15.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
  16. 16.Which of these helps reduce bias? (a) test on many groups (b) add more of the same (c) use one group only (d) skip testing
  17. 17.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) fix wrong labels (d) balance the data
  18. 18.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  19. 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  20. 20.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) balance the data (d) check who is missing
  21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  22. 22.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  23. 23.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  24. 24.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  26. 26.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  27. 27.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  28. 28.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  29. 29.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  30. 30.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) test on one group only (d) check who is missing
  31. 31.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  32. 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
  33. 33.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) use one group only (d) copy old unfair choices
  34. 34.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) use one group only (d) fix wrong labels
  35. 35.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  36. 36.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
  37. 37.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  38. 38.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) check who is missing (d) add more of the same
  40. 40.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True

Answer key

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

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