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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 625 · 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: “test on many groups” helps reduce bias. (a) True (b) False
  2. 2.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  3. 3.Which of these adds to bias? (a) ask different people (b) check who is missing (c) copy old unfair choices (d) fix wrong labels
  4. 4.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  5. 5.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
  6. 6.True or false: “balance the data” helps reduce bias. (a) False (b) True
  7. 7.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  8. 8.True or false: “add more of the same” adds to bias. (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) balance the data (d) use one group only
  10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  11. 11.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  12. 12.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  13. 13.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  14. 14.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  15. 15.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
  16. 16.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) ask different people (d) use one group only
  17. 17.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  18. 18.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  19. 19.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  20. 20.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  21. 21.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  22. 22.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  23. 23.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  24. 24.Which of these adds to bias? (a) check who is missing (b) balance the data (c) test on one group only (d) add varied examples
  25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  26. 26.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  27. 27.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) skip testing (d) test on one group only
  28. 28.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  29. 29.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) test on many groups (d) balance the data
  30. 30.🗣️ 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
  31. 31.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  32. 32.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  33. 33.True or false: “ask different people” helps reduce bias. (a) False (b) True
  34. 34.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  36. 36.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) check who is missing (d) test on one group only
  37. 37.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  38. 38.Which of these adds to bias? (a) fix wrong labels (b) add more of the same (c) check who is missing (d) balance the data
  39. 39.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  40. 40.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) copy old unfair choices (d) fix wrong labels

Answer key

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

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