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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 443 · 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) ask different people (b) ignore complaints (c) fix wrong labels (d) add varied examples
  2. 2.🖼️ 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
  3. 3.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  4. 4.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
  5. 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  6. 6.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  7. 7.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  8. 8.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  10. 10.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  11. 11.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  12. 12.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
  14. 14.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  15. 15.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  16. 16.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) balance the data (d) ignore complaints
  17. 17.True or false: “use one group only” helps reduce bias. (a) True (b) False
  18. 18.Which of these adds to bias? (a) add varied examples (b) use one group only (c) fix wrong labels (d) check who is missing
  19. 19.True or false: “skip testing” helps reduce bias. (a) True (b) False
  20. 20.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  21. 21.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  22. 22.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) test on one group only (d) check who is missing
  23. 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  24. 24.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) add varied examples (d) skip testing
  25. 25.Which of these adds to bias? (a) balance the data (b) check who is missing (c) fix wrong labels (d) add more of the same
  26. 26.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  27. 27.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) copy old unfair choices (d) test on many groups
  28. 28.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  29. 29.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  30. 30.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
  31. 31.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  32. 32.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  33. 33.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) test on one group only (d) ask different people
  34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  35. 35.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  36. 36.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  37. 37.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  38. 38.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) copy old unfair choices (d) balance the data
  39. 39.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
  40. 40.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) test on one group only (d) check who is missing

Answer key

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

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