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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 372 · 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: “ignore complaints” helps reduce bias. (a) True (b) False
  2. 2.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  3. 3.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) add more of the same (d) fix wrong labels
  4. 4.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) ask different people (d) balance the data
  5. 5.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  6. 6.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
  8. 8.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  9. 9.True or false: “check who is missing” adds to bias. (a) False (b) True
  10. 10.True or false: “use one group only” adds to bias. (a) False (b) True
  11. 11.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  12. 12.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  13. 13.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  14. 14.True or false: “test on one group only” adds to bias. (a) True (b) False
  15. 15.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) use one group only
  16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  17. 17.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) check who is missing (d) add more of the same
  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.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  20. 20.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  21. 21.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  22. 22.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  23. 23.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  24. 24.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) test on one group only (d) ignore complaints
  25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  26. 26.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  27. 27.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  28. 28.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  29. 29.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  30. 30.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  31. 31.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  33. 33.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  34. 34.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) add varied examples (d) ignore complaints
  35. 35.True or false: “add varied examples” adds to bias. (a) True (b) False
  36. 36.True or false: “ask different people” adds to bias. (a) True (b) False
  37. 37.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  38. 38.True or false: “test on many groups” adds to bias. (a) False (b) True
  39. 39.Which of these helps reduce bias? (a) add more of the same (b) add varied examples (c) test on one group only (d) use one group only
  40. 40.True or false: “skip testing” helps reduce bias. (a) True (b) False

Answer key

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

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