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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 114 · 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 helps reduce bias? (a) use one group only (b) add more of the same (c) add varied examples (d) ignore complaints
  2. 2.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) add varied examples
  3. 3.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  4. 4.True or false: “use one group only” helps reduce bias. (a) False (b) True
  5. 5.True or false: “balance the data” adds to bias. (a) False (b) True
  6. 6.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  7. 7.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  8. 8.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  10. 10.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
  11. 11.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  12. 12.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  13. 13.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) ignore complaints (d) fix wrong labels
  14. 14.True or false: “test on one group only” adds to bias. (a) False (b) True
  15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
  16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  17. 17.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  18. 18.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) ask different people (d) test on one group only
  19. 19.Which of these adds to bias? (a) balance the data (b) add varied examples (c) test on one group only (d) test on many groups
  20. 20.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  21. 21.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  22. 22.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) check who is missing (d) skip testing
  23. 23.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) test on one group only (d) use one group only
  24. 24.Which of these helps reduce bias? (a) use one group only (b) ask different people (c) copy old unfair choices (d) add more of the same
  25. 25.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  26. 26.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  27. 27.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) use one group only (d) balance the data
  28. 28.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) balance the data (d) test on many groups
  29. 29.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) test on many groups (d) fix wrong labels
  30. 30.True or false: “ask different people” helps reduce bias. (a) False (b) True
  31. 31.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  33. 33.True or false: “add more of the same” adds to bias. (a) False (b) True
  34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  35. 35.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  36. 36.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  37. 37.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  38. 38.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  39. 39.Which of these adds to bias? (a) ask different people (b) add more of the same (c) check who is missing (d) add varied examples
  40. 40.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True

Answer key

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

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