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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 285 · 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: “skip testing” helps reduce bias. (a) True (b) False
  2. 2.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) ignore complaints (d) balance the data
  3. 3.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  4. 4.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  5. 5.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  6. 6.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) balance the data (d) use one group only
  7. 7.Which of these adds to bias? (a) balance the data (b) use one group only (c) check who is missing (d) ask different people
  8. 8.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  9. 9.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  10. 10.Which of these helps reduce bias? (a) fix wrong labels (b) copy old unfair choices (c) ignore complaints (d) use one group only
  11. 11.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) test on many groups (d) add more of the same
  12. 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  13. 13.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  14. 14.Which of these adds to bias? (a) ignore complaints (b) test on many groups (c) check who is missing (d) add varied examples
  15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
  16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  17. 17.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  18. 18.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  19. 19.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) use one group only (d) ask different people
  20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  21. 21.Which of these adds to bias? (a) ask different people (b) test on one group only (c) fix wrong labels (d) balance the data
  22. 22.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  23. 23.True or false: “balance the data” helps reduce bias. (a) False (b) True
  24. 24.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  25. 25.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) use one group only (d) copy old unfair choices
  26. 26.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  27. 27.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) add varied examples (d) skip testing
  28. 28.True or false: “use one group only” adds to bias. (a) True (b) False
  29. 29.True or false: “use one group only” helps reduce bias. (a) False (b) True
  30. 30.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  31. 31.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) add varied examples (d) balance the data
  32. 32.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  33. 33.Which of these adds to bias? (a) copy old unfair choices (b) test on many groups (c) balance the data (d) check who is missing
  34. 34.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) ask different people (d) fix wrong labels
  36. 36.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  37. 37.True or false: “check who is missing” adds to bias. (a) False (b) True
  38. 38.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
  39. 39.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  40. 40.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) add varied examples (d) copy old unfair choices

Answer key

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

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