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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 594 · 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: “ask different people” helps reduce bias. (a) False (b) True
  2. 2.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  3. 3.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) ignore complaints (d) test on many groups
  4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
  5. 5.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  6. 6.Which of these adds to bias? (a) ask different people (b) balance the data (c) add varied examples (d) copy old unfair choices
  7. 7.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  8. 8.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  10. 10.True or false: “test on many groups” adds to bias. (a) False (b) True
  11. 11.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
  12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  13. 13.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  14. 14.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  16. 16.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  17. 17.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  18. 18.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  19. 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  20. 20.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) use one group only (d) test on many groups
  21. 21.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  22. 22.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  23. 23.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
  24. 24.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  25. 25.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  26. 26.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  27. 27.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) use one group only (d) balance the data
  28. 28.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  29. 29.True or false: “use one group only” adds to bias. (a) True (b) False
  30. 30.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  31. 31.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  32. 32.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  33. 33.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  34. 34.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  35. 35.True or false: “skip testing” adds to bias. (a) True (b) False
  36. 36.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  37. 37.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) skip testing (d) ask different people
  38. 38.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  39. 39.True or false: “ask different people” adds to bias. (a) True (b) False
  40. 40.Which of these helps reduce bias? (a) ignore complaints (b) balance the data (c) copy old unfair choices (d) use one group only

Answer key

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

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