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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 817 · 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.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  2. 2.True or false: “skip testing” adds to bias. (a) True (b) False
  3. 3.True or false: “check who is missing” adds to bias. (a) True (b) False
  4. 4.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) balance the data (d) skip testing
  5. 5.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  6. 6.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  7. 7.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) use one group only (d) add varied examples
  8. 8.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  9. 9.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  10. 10.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  11. 11.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  12. 12.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  13. 13.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  14. 14.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
  15. 15.True or false: “use one group only” adds to bias. (a) False (b) True
  16. 16.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) balance the data (d) add varied examples
  17. 17.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  18. 18.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) ignore complaints (d) skip testing
  19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
  20. 20.Which of these helps reduce bias? (a) copy old unfair choices (b) balance the data (c) add more of the same (d) skip testing
  21. 21.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  22. 22.🗣️ 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
  23. 23.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  24. 24.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  25. 25.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  26. 26.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  27. 27.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  28. 28.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  29. 29.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  30. 30.True or false: “test on many groups” adds to bias. (a) True (b) False
  31. 31.Which of these adds to bias? (a) ask different people (b) test on one group only (c) fix wrong labels (d) test on many groups
  32. 32.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
  33. 33.True or false: “add varied examples” adds to bias. (a) False (b) True
  34. 34.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  35. 35.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) copy old unfair choices (d) use one group only
  36. 36.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) balance the data (d) use one group only
  37. 37.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  38. 38.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  39. 39.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) skip testing (d) ask different people
  40. 40.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data

Answer key

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

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