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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 678 · 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.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
  2. 2.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) use one group only (d) test on one group only
  3. 3.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
  4. 4.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) copy old unfair choices (d) use one group only
  5. 5.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  6. 6.Which of these adds to bias? (a) add varied examples (b) balance the data (c) skip testing (d) check who is missing
  7. 7.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  8. 8.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  9. 9.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  10. 10.True or false: “ask different people” helps reduce bias. (a) False (b) True
  11. 11.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  12. 12.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
  13. 13.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  14. 14.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  15. 15.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  16. 16.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  17. 17.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  18. 18.Which of these adds to bias? (a) copy old unfair choices (b) fix wrong labels (c) balance the data (d) add varied examples
  19. 19.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  20. 20.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  21. 21.True or false: “add varied examples” adds to bias. (a) False (b) True
  22. 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  23. 23.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  24. 24.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  25. 25.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
  26. 26.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  27. 27.Which of these adds to bias? (a) ask different people (b) add more of the same (c) check who is missing (d) fix wrong labels
  28. 28.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  29. 29.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) add more of the same (d) use one group only
  30. 30.True or false: “ignore complaints” adds to bias. (a) True (b) False
  31. 31.True or false: “skip testing” helps reduce bias. (a) False (b) True
  32. 32.True or false: “add more of the same” adds to bias. (a) False (b) True
  33. 33.Which of these helps reduce bias? (a) fix wrong labels (b) add more of the same (c) copy old unfair choices (d) use one group only
  34. 34.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) fix wrong labels (d) skip testing
  35. 35.True or false: “balance the data” helps reduce bias. (a) False (b) True
  36. 36.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) ignore complaints (d) check who is missing
  37. 37.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  38. 38.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) copy old unfair choices (d) balance the data
  39. 39.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  40. 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias

Answer key

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

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