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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 689 · 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: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  2. 2.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  3. 3.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) add more of the same (d) ignore complaints
  4. 4.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  5. 5.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
  6. 6.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  7. 7.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  8. 8.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) use one group only (d) test on many groups
  9. 9.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  10. 10.True or false: “skip testing” helps reduce bias. (a) True (b) False
  11. 11.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  12. 12.True or false: “ask different people” helps reduce bias. (a) True (b) False
  13. 13.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  14. 14.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) add varied examples
  15. 15.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  16. 16.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) test on many groups (d) ignore complaints
  17. 17.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) check who is missing (d) use one group only
  18. 18.True or false: “balance the data” helps reduce bias. (a) True (b) False
  19. 19.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  20. 20.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) fix wrong labels (d) ask different people
  22. 22.True or false: “ask different people” adds to bias. (a) False (b) True
  23. 23.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  24. 24.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  25. 25.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  26. 26.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) skip testing (d) copy old unfair choices
  27. 27.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  28. 28.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
  29. 29.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  30. 30.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) fix wrong labels (d) ask different people
  31. 31.True or false: “skip testing” adds to bias. (a) False (b) True
  32. 32.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) skip testing (d) ignore complaints
  33. 33.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) use one group only (d) ask different people
  34. 34.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  36. 36.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
  37. 37.True or false: “test on one group only” adds to bias. (a) False (b) True
  38. 38.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  39. 39.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) add varied examples (d) add more of the same
  40. 40.Which of these helps reduce bias? (a) use one group only (b) ask different people (c) test on one group only (d) copy old unfair choices

Answer key

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

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