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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 682 · 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 many groups (c) use one group only (d) add varied examples
  2. 2.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  3. 3.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  4. 4.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  5. 5.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  6. 6.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) ignore complaints (d) ask different people
  7. 7.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  8. 8.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  9. 9.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) test on one group only (d) balance the data
  10. 10.True or false: “use one group only” adds to bias. (a) False (b) True
  11. 11.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  12. 12.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  13. 13.Which of these adds to bias? (a) ask different people (b) balance the data (c) copy old unfair choices (d) fix wrong labels
  14. 14.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  15. 15.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  17. 17.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  18. 18.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
  20. 20.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
  21. 21.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) use one group only (d) check who is missing
  22. 22.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  23. 23.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
  24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  25. 25.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  26. 26.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
  27. 27.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  28. 28.True or false: “balance the data” adds to bias. (a) True (b) False
  29. 29.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  30. 30.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  31. 31.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  33. 33.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  34. 34.True or false: “ask different people” adds to bias. (a) False (b) True
  35. 35.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  36. 36.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  38. 38.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) test on many groups (d) add more of the same
  39. 39.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  40. 40.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) add varied examples (d) check who is missing

Answer key

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

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