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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 63 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
  2. 2.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) check who is missing (d) skip testing
  4. 4.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) balance the data
  5. 5.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  6. 6.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) skip testing (d) test on many groups
  7. 7.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  8. 8.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  9. 9.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) balance the data (d) fix wrong labels
  10. 10.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  11. 11.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  12. 12.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
  14. 14.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  15. 15.True or false: “use one group only” helps reduce bias. (a) True (b) False
  16. 16.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  17. 17.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  18. 18.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  19. 19.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  20. 20.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  21. 21.True or false: “skip testing” adds to bias. (a) True (b) False
  22. 22.True or false: “balance the data” adds to bias. (a) True (b) False
  23. 23.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  25. 25.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) check who is missing (d) balance the data
  26. 26.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  27. 27.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  28. 28.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  29. 29.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) copy old unfair choices (d) add varied examples
  31. 31.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  32. 32.True or false: “use one group only” adds to bias. (a) False (b) True
  33. 33.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) test on many groups
  34. 34.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  35. 35.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
  36. 36.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  37. 37.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
  38. 38.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) add varied examples (d) ignore complaints
  39. 39.Which of these adds to bias? (a) test on many groups (b) ignore complaints (c) add varied examples (d) balance the data
  40. 40.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias

Answer key

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

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