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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 886 · 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: “add varied examples” adds to bias. (a) True (b) False
  2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
  3. 3.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) test on one group only (d) skip testing
  4. 4.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) add varied examples (d) check who is missing
  5. 5.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  6. 6.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  7. 7.True or false: “test on one group only” adds to bias. (a) True (b) False
  8. 8.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
  9. 9.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  10. 10.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) add varied examples (d) skip testing
  11. 11.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) balance the data (d) skip testing
  12. 12.True or false: “ask different people” adds to bias. (a) False (b) True
  13. 13.True or false: “ask different people” helps reduce bias. (a) False (b) True
  14. 14.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  15. 15.True or false: “balance the data” adds to bias. (a) True (b) False
  16. 16.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
  17. 17.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  18. 18.True or false: “balance the data” helps reduce bias. (a) True (b) False
  19. 19.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  20. 20.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
  21. 21.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  22. 22.True or false: “add more of the same” adds to bias. (a) True (b) False
  23. 23.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) balance the data (d) check who is missing
  24. 24.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  25. 25.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  26. 26.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) check who is missing (d) add more of the same
  27. 27.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) ask different people (d) copy old unfair choices
  28. 28.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  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: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  31. 31.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  32. 32.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) check who is missing (d) skip testing
  33. 33.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  34. 34.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  35. 35.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) test on many groups (d) check who is missing
  36. 36.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  37. 37.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  38. 38.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  39. 39.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  40. 40.Which of these helps reduce bias? (a) fix wrong labels (b) test on one group only (c) use one group only (d) copy old unfair choices

Answer key

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

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