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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 327 · 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.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  2. 2.True or false: “add varied examples” adds to bias. (a) True (b) False
  3. 3.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  4. 4.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  5. 5.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  6. 6.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
  8. 8.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
  9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  10. 10.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  11. 11.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) use one group only (d) ask different people
  12. 12.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
  13. 13.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  14. 14.True or false: “ask different people” adds to bias. (a) False (b) True
  15. 15.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  17. 17.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) skip testing (d) balance the data
  18. 18.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  19. 19.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) add more of the same (d) use one group only
  20. 20.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) fix wrong labels (d) ignore complaints
  21. 21.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  22. 22.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
  23. 23.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) ignore complaints (d) skip testing
  24. 24.Which of these helps reduce bias? (a) balance the data (b) use one group only (c) copy old unfair choices (d) add more of the same
  25. 25.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  26. 26.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  27. 27.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  28. 28.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
  29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  30. 30.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  31. 31.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  32. 32.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  33. 33.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) ask different people (d) skip testing
  34. 34.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  35. 35.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  36. 36.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  37. 37.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) fix wrong labels (d) add varied examples
  38. 38.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) test on many groups (d) ask different people
  39. 39.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  40. 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias

Answer key

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

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