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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 531 · 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: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  2. 2.Which of these adds to bias? (a) check who is missing (b) balance the data (c) test on many groups (d) use one group only
  3. 3.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (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.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) ignore complaints (d) add more of the same
  6. 6.Which of these adds to bias? (a) copy old unfair choices (b) balance the data (c) ask different people (d) fix wrong labels
  7. 7.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) add varied examples (d) fix wrong labels
  8. 8.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  9. 9.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) copy old unfair choices (d) test on one group only
  10. 10.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  11. 11.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  12. 12.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  13. 13.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  14. 14.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
  15. 15.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  16. 16.True or false: “ask different people” helps reduce bias. (a) True (b) False
  17. 17.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) use one group only (d) ignore complaints
  18. 18.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  19. 19.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  21. 21.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  22. 22.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  23. 23.Which of these helps reduce bias? (a) fix wrong labels (b) test on one group only (c) skip testing (d) copy old unfair choices
  24. 24.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  25. 25.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) check who is missing (d) test on one group only
  26. 26.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  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: “add varied examples” adds to bias. (a) True (b) False
  29. 29.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  30. 30.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  31. 31.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  34. 34.True or false: “use one group only” adds to bias. (a) False (b) True
  35. 35.True or false: “balance the data” adds to bias. (a) True (b) False
  36. 36.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) balance the data (d) use one group only
  37. 37.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) ask different people (d) add more of the same
  38. 38.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  39. 39.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  40. 40.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True

Answer key

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

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