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AI Bias Worksheet for Kids

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

Answer key

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

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