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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 117 · 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” adds to bias. (a) True (b) False
  2. 2.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  3. 3.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) ignore complaints (d) check who is missing
  4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) copy old unfair choices (d) add varied examples
  5. 5.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  6. 6.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
  7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
  8. 8.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  9. 9.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  10. 10.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  11. 11.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  12. 12.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  13. 13.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) add varied examples (d) use one group only
  14. 14.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  15. 15.True or false: “test on one group only” adds to bias. (a) False (b) True
  16. 16.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  17. 17.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  19. 19.True or false: “use one group only” adds to bias. (a) True (b) False
  20. 20.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) copy old unfair choices (d) balance the data
  21. 21.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) copy old unfair choices (d) ask different people
  22. 22.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
  23. 23.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  24. 24.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) skip testing (d) ignore complaints
  25. 25.Which of these adds to bias? (a) fix wrong labels (b) copy old unfair choices (c) balance the data (d) add varied examples
  26. 26.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  27. 27.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  28. 28.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  30. 30.True or false: “ask different people” helps reduce bias. (a) False (b) True
  31. 31.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) skip testing (d) fix wrong labels
  32. 32.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  33. 33.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  34. 34.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) add more of the same (d) ask different people
  35. 35.True or false: “balance the data” adds to bias. (a) False (b) True
  36. 36.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  37. 37.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  38. 38.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  39. 39.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False

Answer key

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

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