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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 615 · 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.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
  3. 3.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  4. 4.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  5. 5.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) ignore complaints (d) add more of the same
  6. 6.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  7. 7.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) add more of the same (d) use one group only
  8. 8.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  9. 9.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  10. 10.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  11. 11.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  12. 12.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  13. 13.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
  14. 14.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  15. 15.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  16. 16.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) fix wrong labels (d) ignore complaints
  17. 17.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) add varied examples (d) test on one group only
  18. 18.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  19. 19.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  20. 20.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) check who is missing (d) test on one group only
  21. 21.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  22. 22.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) test on one group only (d) ask different people
  23. 23.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
  24. 24.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  25. 25.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) test on one group only (d) fix wrong labels
  26. 26.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  27. 27.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  28. 28.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) check who is missing (d) add varied examples
  29. 29.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) test on one group only (d) test on many groups
  30. 30.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  31. 31.Which of these adds to bias? (a) fix wrong labels (b) use one group only (c) ask different people (d) balance the data
  32. 32.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  33. 33.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) skip testing (d) copy old unfair choices
  34. 34.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  35. 35.True or false: “ignore complaints” adds to bias. (a) False (b) True
  36. 36.True or false: “skip testing” helps reduce bias. (a) False (b) True
  37. 37.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) add varied examples (d) skip testing
  38. 38.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
  39. 39.True or false: “use one group only” adds to bias. (a) True (b) False
  40. 40.True or false: “test on many groups” helps reduce bias. (a) False (b) True

Answer key

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

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