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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 775 · 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.True or false: “add more of the same” adds to bias. (a) False (b) True
  2. 2.Which of these helps reduce bias? (a) ask different people (b) copy old unfair choices (c) test on one group only (d) skip testing
  3. 3.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on many groups (d) add more of the same
  4. 4.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  5. 5.True or false: “skip testing” adds to bias. (a) False (b) True
  6. 6.Which of these adds to bias? (a) test on many groups (b) balance the data (c) check who is missing (d) use one group only
  7. 7.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  8. 8.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  9. 9.True or false: “add varied examples” adds to bias. (a) True (b) False
  10. 10.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) skip testing (d) fix wrong labels
  11. 11.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced 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.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  15. 15.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  16. 16.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  17. 17.True or false: “ask different people” adds to bias. (a) True (b) False
  18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  19. 19.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  20. 20.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) fix wrong labels (d) ignore complaints
  21. 21.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  22. 22.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
  23. 23.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) balance the data (d) skip testing
  24. 24.True or false: “use one group only” helps reduce bias. (a) True (b) False
  25. 25.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  26. 26.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  27. 27.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  28. 28.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  30. 30.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) test on many groups (d) add more of the same
  31. 31.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  32. 32.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) check who is missing (d) use one group only
  33. 33.True or false: “use one group only” adds to bias. (a) True (b) False
  34. 34.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) ignore complaints (d) check who is missing
  35. 35.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  36. 36.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) use one group only (d) fix wrong labels
  37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  38. 38.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  39. 39.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) test on one group only (d) ask different people

Answer key

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

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