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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 951 · 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.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  2. 2.Which of these helps reduce bias? (a) fix wrong labels (b) skip testing (c) copy old unfair choices (d) test on one group only
  3. 3.Which of these adds to bias? (a) ask different people (b) add varied examples (c) use one group only (d) test on many groups
  4. 4.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  5. 5.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  6. 6.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) use one group only (d) ask different people
  7. 7.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  8. 8.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
  9. 9.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  10. 10.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) copy old unfair choices
  11. 11.True or false: “add more of the same” adds to bias. (a) False (b) True
  12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  13. 13.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  14. 14.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  15. 15.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
  16. 16.True or false: “skip testing” helps reduce bias. (a) True (b) False
  17. 17.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  18. 18.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  20. 20.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) add more of the same (d) copy old unfair choices
  21. 21.True or false: “check who is missing” adds to bias. (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) use one group only (d) test on one group only
  23. 23.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) use one group only (d) copy old unfair choices
  24. 24.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  25. 25.True or false: “skip testing” adds to bias. (a) False (b) True
  26. 26.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) ask different people (d) test on many groups
  27. 27.True or false: “ask different people” adds to bias. (a) True (b) False
  28. 28.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) test on many groups (d) add varied examples
  29. 29.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  30. 30.True or false: “test on one group only” adds to bias. (a) True (b) False
  31. 31.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  32. 32.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) balance the data (d) add varied examples
  33. 33.Which of these adds to bias? (a) balance the data (b) test on many groups (c) skip testing (d) ask different people
  34. 34.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  35. 35.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  36. 36.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  37. 37.True or false: “ask different people” helps reduce bias. (a) True (b) False
  38. 38.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
  39. 39.True or false: “use one group only” adds to bias. (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) add more of the same (d) use one group only

Answer key

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

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