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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 149 · 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.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  2. 2.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  3. 3.True or false: “use one group only” adds to bias. (a) False (b) True
  4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  5. 5.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
  6. 6.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) skip testing (d) use one group only
  7. 7.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) ignore complaints (d) test on many groups
  8. 8.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) skip testing (d) ask different people
  9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
  10. 10.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  11. 11.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  12. 12.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  13. 13.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  16. 16.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) use one group only (d) test on one group only
  17. 17.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  18. 18.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  19. 19.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) test on one group only (d) add varied examples
  20. 20.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  22. 22.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  23. 23.Which of these adds to bias? (a) ask different people (b) add varied examples (c) balance the data (d) add more of the same
  24. 24.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  25. 25.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  26. 26.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  27. 27.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
  28. 28.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  29. 29.Which of these adds to bias? (a) add varied examples (b) balance the data (c) ask different people (d) ignore complaints
  30. 30.True or false: “test on one group only” adds to bias. (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) fix wrong labels (d) test on many groups
  32. 32.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  33. 33.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  34. 34.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  35. 35.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  36. 36.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  37. 37.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on many groups (d) copy old unfair choices
  38. 38.True or false: “use one group only” helps reduce bias. (a) False (b) True
  39. 39.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  40. 40.True or false: “add more of the same” adds to bias. (a) True (b) False

Answer key

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

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