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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 92 · 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: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  2. 2.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  3. 3.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  4. 4.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  5. 5.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
  7. 7.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  8. 8.Which of these adds to bias? (a) check who is missing (b) ask different people (c) test on many groups (d) add more of the same
  9. 9.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  10. 10.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  11. 11.Which of these adds to bias? (a) use one group only (b) add varied examples (c) check who is missing (d) balance the data
  12. 12.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  13. 13.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  14. 14.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  15. 15.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  16. 16.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) balance the data (d) test on one group only
  17. 17.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) test on one group only (d) use one group only
  18. 18.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  19. 19.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
  20. 20.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) copy old unfair choices (d) ask different people
  21. 21.True or false: “use one group only” helps reduce bias. (a) True (b) False
  22. 22.True or false: “balance the data” adds to bias. (a) True (b) False
  23. 23.True or false: “ask different people” helps reduce bias. (a) True (b) False
  24. 24.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) use one group only (d) skip testing
  25. 25.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  26. 26.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  28. 28.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  29. 29.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) balance the data (d) add varied examples
  31. 31.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) use one group only (d) balance the data
  32. 32.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  33. 33.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  34. 34.True or false: “use one group only” adds to bias. (a) False (b) True
  35. 35.True or false: “add varied examples” adds to bias. (a) True (b) False
  36. 36.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  38. 38.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
  39. 39.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  40. 40.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) test on one group only (d) copy old unfair choices

Answer key

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

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