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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 389 · 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 is the odd one out? (a) ignore complaints (b) fix wrong labels (c) test on one group only (d) skip testing
  2. 2.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  3. 3.True or false: “ask different people” helps reduce bias. (a) False (b) True
  4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
  5. 5.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  6. 6.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  7. 7.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  8. 8.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) use one group only (d) add more of the same
  9. 9.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) skip testing (d) copy old unfair choices
  10. 10.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
  11. 11.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  12. 12.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  13. 13.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  14. 14.Which of these adds to bias? (a) test on one group only (b) test on many groups (c) check who is missing (d) add varied examples
  15. 15.True or false: “ask different people” adds to bias. (a) True (b) False
  16. 16.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  17. 17.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  18. 18.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) add more of the same (d) use one group only
  19. 19.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  20. 20.Which of these adds to bias? (a) copy old unfair choices (b) test on many groups (c) add varied examples (d) ask different people
  21. 21.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  22. 22.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) add varied examples (d) ignore complaints
  23. 23.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  25. 25.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  26. 26.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  27. 27.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  28. 28.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) copy old unfair choices (d) ignore complaints
  29. 29.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) balance the data (d) copy old unfair choices
  31. 31.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  32. 32.True or false: “ignore complaints” adds to bias. (a) True (b) False
  33. 33.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  34. 34.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  35. 35.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
  36. 36.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  37. 37.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  38. 38.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) add varied examples (d) test on many groups
  39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  40. 40.True or false: “balance the data” helps reduce bias. (a) False (b) True

Answer key

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

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