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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 111 · 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.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) fix wrong labels (d) ignore complaints
  2. 2.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  3. 3.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  4. 4.True or false: “skip testing” helps reduce bias. (a) True (b) False
  5. 5.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  6. 6.True or false: “check who is missing” adds to bias. (a) False (b) True
  7. 7.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  8. 8.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) test on many groups (d) use one group only
  9. 9.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) skip testing (d) balance the data
  10. 10.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  11. 11.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  12. 12.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
  13. 13.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  14. 14.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  15. 15.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  16. 16.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  17. 17.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  19. 19.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  20. 20.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on one group only (d) fix wrong labels
  21. 21.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  22. 22.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  23. 23.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) use one group only
  24. 24.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
  25. 25.True or false: “balance the data” helps reduce bias. (a) True (b) False
  26. 26.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) skip testing (d) check who is missing
  27. 27.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  28. 28.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  29. 29.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  30. 30.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) ignore complaints (d) fix wrong labels
  31. 31.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) fix wrong labels (d) use one group only
  32. 32.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  33. 33.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add varied examples (d) test on one group only
  34. 34.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) check who is missing (d) add more of the same
  35. 35.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  36. 36.True or false: “ask different people” adds to bias. (a) True (b) False
  37. 37.True or false: “test on many groups” adds to bias. (a) True (b) False
  38. 38.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) test on one group only (d) copy old unfair choices
  39. 39.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  40. 40.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

Answer key

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

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