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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 880 · 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.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  2. 2.True or false: “test on many groups” adds to bias. (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) skip testing (d) add more of the same
  4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  5. 5.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  6. 6.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) test on many groups (d) balance the data
  7. 7.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  8. 8.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  9. 9.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) skip testing (d) add varied examples
  10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  11. 11.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  12. 12.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
  13. 13.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  14. 14.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  15. 15.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  16. 16.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  17. 17.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) add varied examples (d) balance the data
  18. 18.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  19. 19.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
  20. 20.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  21. 21.True or false: leaves from every season of the year is balanced data (fairer for everyone). (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.Which of these adds to bias? (a) skip testing (b) test on many groups (c) fix wrong labels (d) add varied examples
  24. 24.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  25. 25.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) ask different people (d) test on many groups
  26. 26.True or false: “skip testing” helps reduce bias. (a) True (b) False
  27. 27.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  28. 28.Which of these adds to bias? (a) balance the data (b) check who is missing (c) add varied examples (d) use one group only
  29. 29.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  30. 30.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) add varied examples (d) fix wrong labels
  31. 31.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  32. 32.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  33. 33.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  34. 34.Which of these adds to bias? (a) copy old unfair choices (b) check who is missing (c) test on many groups (d) add varied examples
  35. 35.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  36. 36.Which of these helps reduce bias? (a) balance the data (b) skip testing (c) test on one group only (d) add more of the same
  37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
  38. 38.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  39. 39.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  40. 40.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data

Answer key

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

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