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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 76 · 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: test on many groups? (a) adds to bias (b) reduces bias
  2. 2.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  3. 3.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
  4. 4.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  5. 5.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) test on many groups (d) skip testing
  6. 6.True or false: “test on many groups” adds to bias. (a) False (b) True
  7. 7.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) test on one group only (d) ask different people
  8. 8.True or false: “check who is missing” adds to bias. (a) True (b) False
  9. 9.True or false: “balance the data” helps reduce bias. (a) False (b) True
  10. 10.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) check who is missing (d) ignore complaints
  11. 11.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  12. 12.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) add varied examples (d) check who is missing
  13. 13.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) ask different people (d) add varied examples
  14. 14.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) use one group only (d) test on one group only
  15. 15.🗣️ 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
  16. 16.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) fix wrong labels (d) add more of the same
  17. 17.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) check who is missing
  18. 18.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) balance the data (d) test on many groups
  19. 19.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  20. 20.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  21. 21.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) ignore complaints (d) test on one group only
  22. 22.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  23. 23.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  24. 24.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
  25. 25.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) test on one group only (d) test on many groups
  26. 26.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  27. 27.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  28. 28.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  29. 29.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  30. 30.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  31. 31.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) balance the data (d) add varied examples
  32. 32.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  33. 33.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  34. 34.True or false: “add varied examples” adds to bias. (a) True (b) False
  35. 35.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) add varied examples (d) copy old unfair choices
  36. 36.Which of these adds to bias? (a) skip testing (b) check who is missing (c) ask different people (d) balance the data
  37. 37.🖼️ 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
  38. 38.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  39. 39.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
  40. 40.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data

Answer key

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

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