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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 315 · 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 of these adds to bias? (a) add varied examples (b) ask different people (c) use one group only (d) fix wrong labels
  2. 2.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  3. 3.True or false: “test on many groups” adds to bias. (a) True (b) False
  4. 4.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  5. 5.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  6. 6.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) ask different people (d) add more of the same
  7. 7.True or false: “check who is missing” adds to bias. (a) False (b) True
  8. 8.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  9. 9.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  10. 10.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  11. 11.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  13. 13.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) test on many groups (d) skip testing
  14. 14.True or false: “ask different people” adds to bias. (a) True (b) False
  15. 15.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  16. 16.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) add varied examples (d) copy old unfair choices
  17. 17.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  18. 18.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  20. 20.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) test on one group only (d) ask different people
  21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  22. 22.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  23. 23.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  24. 24.True or false: “ask different people” helps reduce bias. (a) True (b) False
  25. 25.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  26. 26.True or false: “add varied examples” adds to bias. (a) True (b) False
  27. 27.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) balance the data (d) copy old unfair choices
  28. 28.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  29. 29.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  30. 30.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  31. 31.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  32. 32.True or false: “skip testing” helps reduce bias. (a) True (b) False
  33. 33.True or false: “add more of the same” adds to bias. (a) True (b) False
  34. 34.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  35. 35.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  36. 36.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  37. 37.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  38. 38.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) fix wrong labels (d) use one group only
  39. 39.True or false: “use one group only” helps reduce bias. (a) False (b) True
  40. 40.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data

Answer key

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

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