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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 590 · 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: “ask different people” helps reduce bias. (a) True (b) False
  3. 3.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
  5. 5.True or false: “use one group only” adds to bias. (a) True (b) False
  6. 6.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  7. 7.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
  8. 8.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  9. 9.True or false: “add varied examples” adds to bias. (a) True (b) False
  10. 10.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) balance the data (d) test on many groups
  11. 11.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) copy old unfair choices (d) test on one group only
  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 of these helps reduce bias? (a) test on one group only (b) check who is missing (c) use one group only (d) copy old unfair choices
  14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  15. 15.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) add more of the same (d) copy old unfair choices
  16. 16.True or false: “test on one group only” adds to bias. (a) False (b) True
  17. 17.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  18. 18.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  19. 19.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  20. 20.True or false: “skip testing” helps reduce bias. (a) False (b) True
  21. 21.Which of these adds to bias? (a) test on one group only (b) test on many groups (c) balance the data (d) fix wrong labels
  22. 22.True or false: “test on many groups” adds to bias. (a) True (b) False
  23. 23.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  24. 24.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  25. 25.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) check who is missing (d) ask different people
  26. 26.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  27. 27.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  28. 28.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  29. 29.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  30. 30.True or false: “check who is missing” adds to bias. (a) True (b) False
  31. 31.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
  32. 32.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  33. 33.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  34. 34.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  35. 35.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) ask different people (d) test on one group only
  36. 36.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  37. 37.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
  38. 38.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) balance the data (d) test on one group only
  39. 39.Which of these adds to bias? (a) test on many groups (b) skip testing (c) ask different people (d) check who is missing
  40. 40.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data

Answer key

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

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