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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 839 · 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 fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  2. 2.Which of these adds to bias? (a) balance the data (b) test on many groups (c) fix wrong labels (d) skip testing
  3. 3.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  4. 4.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  5. 5.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  6. 6.True or false: “skip testing” adds to bias. (a) True (b) False
  7. 7.True or false: “test on many groups” adds to bias. (a) True (b) False
  8. 8.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  9. 9.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
  10. 10.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  11. 11.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) use one group only (d) test on one group only
  12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  13. 13.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  14. 14.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) add varied examples (d) skip testing
  15. 15.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) balance the data (d) ignore complaints
  16. 16.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) test on many groups (d) ignore complaints
  17. 17.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
  18. 18.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) add varied examples (d) test on many groups
  19. 19.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  20. 20.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  21. 21.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) use one group only
  22. 22.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) ask different people (d) test on many groups
  23. 23.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  24. 24.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  25. 25.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  26. 26.True or false: “use one group only” adds to bias. (a) True (b) False
  27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  28. 28.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  30. 30.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  31. 31.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) balance the data (d) add more of the same
  32. 32.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) skip testing (d) balance the data
  33. 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) check who is missing (d) test on one group only
  34. 34.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  35. 35.Which of these helps reduce bias? (a) use one group only (b) ask different people (c) skip testing (d) ignore complaints
  36. 36.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  37. 37.True or false: “ask different people” adds to bias. (a) True (b) False
  38. 38.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  39. 39.True or false: “check who is missing” adds to bias. (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) ask different people (d) use one group only

Answer key

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

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