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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 899 · 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.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  2. 2.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) add more of the same (d) ignore complaints
  3. 3.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  4. 4.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  5. 5.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) skip testing (d) test on many groups
  6. 6.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) test on many groups (d) balance the data
  7. 7.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  8. 8.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  9. 9.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  10. 10.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  11. 11.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  12. 12.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  13. 13.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) use one group only
  14. 14.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  15. 15.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
  16. 16.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  17. 17.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  18. 18.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  19. 19.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) add varied examples (d) balance the data
  20. 20.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) balance the data (d) fix wrong labels
  21. 21.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  22. 22.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  23. 23.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  24. 24.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) test on many groups (d) skip testing
  25. 25.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) ignore complaints (d) test on one group only
  26. 26.True or false: “ask different people” helps reduce bias. (a) True (b) False
  27. 27.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  28. 28.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) copy old unfair choices (d) ask different people
  29. 29.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  30. 30.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  31. 31.True or false: “add more of the same” adds to bias. (a) False (b) True
  32. 32.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  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.Which of these adds to bias? (a) add varied examples (b) balance the data (c) test on many groups (d) skip testing
  35. 35.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  36. 36.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  37. 37.True or false: “ignore complaints” adds to bias. (a) True (b) False
  38. 38.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  39. 39.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  40. 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias

Answer key

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

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