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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 876 · 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: “balance the data” adds to bias. (a) True (b) False
  2. 2.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  3. 3.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  4. 4.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) add varied examples (d) skip testing
  5. 5.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  6. 6.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  7. 7.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
  8. 8.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  9. 9.True or false: “add more of the same” adds to bias. (a) False (b) True
  10. 10.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) add more of the same (d) copy old unfair choices
  11. 11.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  12. 12.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  13. 13.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) balance the data (d) test on many groups
  14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  15. 15.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  16. 16.True or false: “use one group only” helps reduce bias. (a) False (b) True
  17. 17.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
  18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
  19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
  20. 20.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  21. 21.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) test on one group only (d) add more of the same
  22. 22.True or false: “ask different people” adds to bias. (a) False (b) True
  23. 23.True or false: “skip testing” adds to bias. (a) True (b) False
  24. 24.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  25. 25.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  26. 26.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) use one group only (d) ask different people
  27. 27.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  28. 28.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  29. 29.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
  30. 30.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  31. 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  33. 33.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  34. 34.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  35. 35.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  36. 36.True or false: “use one group only” adds to bias. (a) True (b) False
  37. 37.Which of these adds to bias? (a) balance the data (b) test on many groups (c) test on one group only (d) add varied examples
  38. 38.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
  39. 39.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) add more of the same (d) fix wrong labels
  40. 40.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias

Answer key

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

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