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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 416 · 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: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
  3. 3.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  4. 4.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  5. 5.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  6. 6.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  7. 7.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) fix wrong labels (d) balance the data
  8. 8.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  9. 9.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  10. 10.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  11. 11.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
  12. 12.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  13. 13.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  14. 14.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) test on one group only (d) fix wrong labels
  15. 15.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) add more of the same (d) ask different people
  16. 16.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  17. 17.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) ignore complaints (d) ask different people
  18. 18.Which of these adds to bias? (a) ask different people (b) add varied examples (c) ignore complaints (d) fix wrong labels
  19. 19.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  20. 20.Which of these helps reduce bias? (a) copy old unfair choices (b) balance the data (c) ignore complaints (d) add more of the same
  21. 21.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
  22. 22.True or false: “ask different people” adds to bias. (a) False (b) True
  23. 23.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  24. 24.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  25. 25.🔍 Which is the odd one out? (a) add more of the same (b) balance the data (c) add varied examples (d) fix wrong labels
  26. 26.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  27. 27.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  28. 28.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  29. 29.True or false: “add varied examples” adds to bias. (a) True (b) False
  30. 30.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
  31. 31.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  32. 32.True or false: “skip testing” helps reduce bias. (a) False (b) True
  33. 33.True or false: “balance the data” helps reduce bias. (a) True (b) False
  34. 34.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  35. 35.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  36. 36.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  37. 37.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) add varied examples (d) skip testing
  38. 38.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) use one group only (d) test on many groups
  39. 39.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) ignore complaints (d) check who is missing

Answer key

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

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