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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 183 · 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) ask different people (b) add varied examples (c) fix wrong labels (d) skip testing
  2. 2.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) copy old unfair choices (d) use one group only
  5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
  6. 6.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) copy old unfair choices (d) add varied examples
  7. 7.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) test on many groups (d) ignore complaints
  8. 8.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  9. 9.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  10. 10.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  11. 11.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  12. 12.True or false: “test on one group only” adds to bias. (a) False (b) True
  13. 13.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  14. 14.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) ignore complaints (d) test on many groups
  15. 15.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  16. 16.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  17. 17.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  18. 18.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) use one group only (d) balance the data
  19. 19.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) check who is missing (d) use one group only
  20. 20.True or false: “test on many groups” adds to bias. (a) False (b) True
  21. 21.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
  22. 22.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  23. 23.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  24. 24.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) ask different people (d) test on many groups
  25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  26. 26.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  27. 27.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  28. 28.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  29. 29.True or false: “skip testing” helps reduce bias. (a) False (b) True
  30. 30.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  31. 31.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
  32. 32.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  33. 33.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) copy old unfair choices (d) ask different people
  34. 34.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  35. 35.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  36. 36.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  37. 37.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  38. 38.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  39. 39.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  40. 40.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) use one group only (d) add more of the same

Answer key

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

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