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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 160 · 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.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) ignore complaints (d) test on one group only
  2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  3. 3.True or false: “skip testing” adds to bias. (a) False (b) True
  4. 4.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  5. 5.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  6. 6.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
  8. 8.Which of these helps reduce bias? (a) fix wrong labels (b) add more of the same (c) copy old unfair choices (d) use one group only
  9. 9.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) check who is missing (d) balance the data
  10. 10.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  11. 11.Which of these adds to bias? (a) balance the data (b) add varied examples (c) add more of the same (d) check who is missing
  12. 12.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  13. 13.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
  14. 14.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) use one group only (d) balance the data
  15. 15.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  17. 17.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  19. 19.Which of these helps reduce bias? (a) add varied examples (b) copy old unfair choices (c) use one group only (d) ignore complaints
  20. 20.True or false: “balance the data” helps reduce bias. (a) True (b) False
  21. 21.Which of these adds to bias? (a) skip testing (b) check who is missing (c) test on many groups (d) add varied examples
  22. 22.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  23. 23.True or false: “ask different people” adds to bias. (a) False (b) True
  24. 24.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) fix wrong labels (d) check who is missing
  25. 25.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  26. 26.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  27. 27.True or false: “use one group only” adds to bias. (a) False (b) True
  28. 28.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
  29. 29.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) ignore complaints (d) add varied examples
  30. 30.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  31. 31.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
  32. 32.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  33. 33.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  34. 34.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  35. 35.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  36. 36.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  37. 37.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  38. 38.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  39. 39.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  40. 40.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias

Answer key

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

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