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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 557 · 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.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
  2. 2.Which of these adds to bias? (a) add varied examples (b) skip testing (c) fix wrong labels (d) check who is missing
  3. 3.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  4. 4.True or false: “test on many groups” adds to bias. (a) True (b) False
  5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  6. 6.True or false: “balance the data” adds to bias. (a) True (b) False
  7. 7.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  8. 8.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
  9. 9.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) add varied examples (d) copy old unfair choices
  10. 10.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  11. 11.True or false: “use one group only” helps reduce bias. (a) True (b) False
  12. 12.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  13. 13.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  14. 14.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  15. 15.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  16. 16.True or false: “ask different people” adds to bias. (a) True (b) False
  17. 17.True or false: “add varied examples” adds to bias. (a) True (b) False
  18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
  19. 19.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) add more of the same (d) copy old unfair choices
  20. 20.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  21. 21.True or false: “ignore complaints” adds to bias. (a) True (b) False
  22. 22.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  23. 23.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  24. 24.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  26. 26.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  27. 27.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  28. 28.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  29. 29.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  30. 30.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  32. 32.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
  33. 33.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) balance the data (d) test on many groups
  34. 34.Which of these adds to bias? (a) ignore complaints (b) check who is missing (c) balance the data (d) ask different people
  35. 35.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  36. 36.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) use one group only (d) copy old unfair choices
  37. 37.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) use one group only (d) balance the data
  38. 38.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) skip testing (d) ignore complaints
  39. 39.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  40. 40.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias

Answer key

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

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