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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 520 · 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: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  2. 2.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) use one group only (d) test on one group only
  4. 4.Which of these adds to bias? (a) use one group only (b) check who is missing (c) fix wrong labels (d) test on many groups
  5. 5.🖼️ 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
  6. 6.True or false: “ask different people” adds to bias. (a) True (b) False
  7. 7.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) skip testing (d) add varied examples
  8. 8.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  9. 9.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  10. 10.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
  11. 11.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  12. 12.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  13. 13.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) test on one group only (d) add more of the same
  14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  15. 15.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) add varied examples (d) balance the data
  16. 16.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  17. 17.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) add varied examples (d) test on one group only
  18. 18.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  19. 19.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
  20. 20.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  21. 21.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) skip testing (d) balance the data
  22. 22.True or false: “skip testing” adds to bias. (a) True (b) False
  23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  24. 24.True or false: “balance the data” adds to bias. (a) True (b) False
  25. 25.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  26. 26.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  27. 27.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  28. 28.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) test on many groups (d) check who is missing
  29. 29.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  30. 30.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  31. 31.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  32. 32.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  33. 33.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) add varied examples (d) skip testing
  34. 34.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  35. 35.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  36. 36.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) balance the data (d) ignore complaints
  37. 37.True or false: “ignore complaints” adds to bias. (a) False (b) True
  38. 38.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) check who is missing (d) use one group only
  39. 39.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  40. 40.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) ask different people (d) balance the data

Answer key

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

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