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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 467 · 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) add varied examples (b) ask different people (c) test on one group only (d) check who is missing
  3. 3.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  4. 4.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) fix wrong labels (d) add more of the same
  5. 5.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  6. 6.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  7. 7.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  8. 8.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) fix wrong labels (d) test on many groups
  9. 9.True or false: “skip testing” helps reduce bias. (a) True (b) False
  10. 10.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) add more of the same (d) test on many groups
  11. 11.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  12. 12.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  13. 13.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  14. 14.Which of these adds to bias? (a) ask different people (b) test on many groups (c) test on one group only (d) balance the data
  15. 15.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  16. 16.Which of these adds to bias? (a) test on many groups (b) skip testing (c) add varied examples (d) balance the data
  17. 17.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) balance the data (d) use one group only
  18. 18.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  20. 20.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  21. 21.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
  22. 22.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) add varied examples
  23. 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  24. 24.True or false: “test on many groups” adds to bias. (a) True (b) False
  25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  26. 26.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  27. 27.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  28. 28.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  29. 29.True or false: “balance the data” adds to bias. (a) True (b) False
  30. 30.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  31. 31.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  32. 32.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  33. 33.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  34. 34.True or false: “ask different people” adds to bias. (a) True (b) False
  35. 35.True or false: “add varied examples” adds to bias. (a) True (b) False
  36. 36.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  37. 37.True or false: “use one group only” adds to bias. (a) False (b) True
  38. 38.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) add more of the same (d) test on many groups
  40. 40.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias

Answer key

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

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