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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 829 · 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: photos of people from only one age group? (a) one-sided data (b) balanced data
  2. 2.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  3. 3.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  4. 4.Which of these adds to bias? (a) ask different people (b) test on many groups (c) copy old unfair choices (d) add varied examples
  5. 5.True or false: “ask different people” helps reduce bias. (a) True (b) False
  6. 6.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  7. 7.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  8. 8.Which of these adds to bias? (a) ignore complaints (b) add varied examples (c) balance the data (d) check who is missing
  9. 9.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) test on many groups (d) copy old unfair choices
  10. 10.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  11. 11.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) add more of the same (d) check who is missing
  12. 12.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  13. 13.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  14. 14.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  15. 15.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) skip testing (d) copy old unfair choices
  16. 16.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) add varied examples (d) copy old unfair choices
  17. 17.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  18. 18.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  19. 19.Which of these helps reduce bias? (a) use one group only (b) check who is missing (c) test on one group only (d) copy old unfair choices
  20. 20.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  21. 21.True or false: “add varied examples” adds to bias. (a) False (b) True
  22. 22.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  23. 23.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  24. 24.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  25. 25.True or false: “use one group only” helps reduce bias. (a) False (b) True
  26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) ask different people (d) balance the data
  27. 27.Which of these adds to bias? (a) test on one group only (b) balance the data (c) ask different people (d) check who is missing
  28. 28.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) ignore complaints (d) test on many groups
  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 is the odd one out? (a) ignore complaints (b) add more of the same (c) skip testing (d) balance the data
  31. 31.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  32. 32.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) copy old unfair choices (d) check who is missing
  33. 33.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
  34. 34.True or false: “test on one group only” adds to bias. (a) False (b) True
  35. 35.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
  36. 36.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) check who is missing (d) test on many groups
  37. 37.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  38. 38.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) balance the data (d) use one group only
  39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  40. 40.True or false: “check who is missing” adds to bias. (a) False (b) True

Answer key

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

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