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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 714 · 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: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  2. 2.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) add more of the same (d) copy old unfair choices
  3. 3.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  4. 4.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
  5. 5.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  6. 6.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  7. 7.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  8. 8.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) copy old unfair choices (d) test on many groups
  9. 9.True or false: “add varied examples” adds to bias. (a) False (b) True
  10. 10.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  12. 12.True or false: “check who is missing” adds to bias. (a) True (b) False
  13. 13.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  14. 14.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  15. 15.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) add varied examples (d) test on one group only
  16. 16.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  17. 17.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  19. 19.True or false: “add more of the same” adds to bias. (a) False (b) True
  20. 20.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  21. 21.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) fix wrong labels (d) test on many groups
  22. 22.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  23. 23.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  24. 24.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  25. 25.Which of these adds to bias? (a) balance the data (b) ignore complaints (c) test on many groups (d) check who is missing
  26. 26.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) balance the data (d) ignore complaints
  27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  28. 28.True or false: “skip testing” helps reduce bias. (a) True (b) False
  29. 29.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  30. 30.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) test on one group only (d) add varied examples
  31. 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  33. 33.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) balance the data (d) ignore complaints
  34. 34.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  35. 35.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) add varied examples (d) ignore complaints
  36. 36.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  37. 37.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  38. 38.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) balance the data (d) add more of the same
  39. 39.Which of these adds to bias? (a) balance the data (b) check who is missing (c) test on many groups (d) skip testing
  40. 40.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data

Answer key

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

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