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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 641 · 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: “use one group only” helps reduce bias. (a) True (b) False
  2. 2.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) test on many groups (d) ignore complaints
  3. 3.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  4. 4.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  5. 5.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) ignore complaints (d) check who is missing
  6. 6.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  7. 7.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) fix wrong labels
  8. 8.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) test on one group only (d) add varied examples
  10. 10.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  11. 11.True or false: “balance the data” adds to bias. (a) False (b) True
  12. 12.True or false: “use one group only” adds to bias. (a) True (b) False
  13. 13.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) fix wrong labels (d) use one group only
  14. 14.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  15. 15.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  16. 16.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  17. 17.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  18. 18.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  19. 19.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
  20. 20.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  21. 21.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  22. 22.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) test on one group only (d) check who is missing
  23. 23.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  24. 24.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  25. 25.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  26. 26.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  27. 27.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) test on one group only (d) copy old unfair choices
  28. 28.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  29. 29.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) test on many groups (d) ask different people
  30. 30.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  31. 31.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  32. 32.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  33. 33.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) fix wrong labels (d) test on many groups
  34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  35. 35.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  36. 36.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) test on one group only (d) add more of the same
  37. 37.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (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.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  40. 40.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data

Answer key

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

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