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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 233 · 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.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) test on many groups (d) add more of the same
  2. 2.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) add varied examples (d) test on many groups
  3. 3.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
  4. 4.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  5. 5.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  6. 6.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) test on many groups (d) add more of the same
  7. 7.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  8. 8.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
  9. 9.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  10. 10.True or false: “test on one group only” adds to bias. (a) True (b) False
  11. 11.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  12. 12.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) use one group only (d) test on one group only
  13. 13.True or false: “add more of the same” adds to bias. (a) True (b) False
  14. 14.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) test on one group only (d) add more of the same
  15. 15.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) balance the data (d) add varied examples
  16. 16.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  17. 17.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  18. 18.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  19. 19.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) skip testing (d) check who is missing
  20. 20.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  21. 21.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) the phone was new (d) children speak too fast
  23. 23.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  24. 24.Which of these adds to bias? (a) balance the data (b) check who is missing (c) fix wrong labels (d) ignore complaints
  25. 25.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) copy old unfair choices (d) fix wrong labels
  26. 26.True or false: “skip testing” adds to bias. (a) True (b) False
  27. 27.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  28. 28.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
  29. 29.True or false: “check who is missing” adds to bias. (a) False (b) True
  30. 30.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  31. 31.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  32. 32.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  33. 33.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) add varied examples (d) add more of the same
  34. 34.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  35. 35.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  38. 38.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  40. 40.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) ignore complaints

Answer key

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

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