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AI Bias Worksheet for Kids

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

Answer key

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

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