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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 845 · 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 fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  2. 2.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  3. 3.Which of these adds to bias? (a) add more of the same (b) balance the data (c) test on many groups (d) fix wrong labels
  4. 4.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  5. 5.True or false: “use one group only” helps reduce bias. (a) False (b) True
  6. 6.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
  7. 7.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
  9. 9.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  10. 10.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  11. 11.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  12. 12.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  13. 13.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
  14. 14.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) ask different people (d) fix wrong labels
  15. 15.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) skip testing (d) copy old unfair choices
  16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  17. 17.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
  18. 18.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  19. 19.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  20. 20.Which of these adds to bias? (a) check who is missing (b) balance the data (c) ignore complaints (d) test on many groups
  21. 21.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
  22. 22.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  23. 23.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  24. 24.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) balance the data (d) skip testing
  25. 25.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  26. 26.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  27. 27.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  28. 28.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  29. 29.Which of these adds to bias? (a) check who is missing (b) use one group only (c) fix wrong labels (d) test on many groups
  30. 30.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) test on one group only (d) fix wrong labels
  31. 31.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  33. 33.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
  34. 34.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) balance the data (d) ask different people
  35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  36. 36.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  37. 37.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  38. 38.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) skip testing (d) ignore complaints
  39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  40. 40.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) test on one group only (d) ask different people

Answer key

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

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