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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 506 · 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) the weather (b) its training data (c) its colour (d) its screen size
  2. 2.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  3. 3.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
  5. 5.True or false: “skip testing” adds to bias. (a) False (b) True
  6. 6.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  7. 7.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  8. 8.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  9. 9.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) use one group only (d) check who is missing
  10. 10.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  11. 11.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  13. 13.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  14. 14.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  15. 15.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  16. 16.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  17. 17.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) ask different people (d) fix wrong labels
  18. 18.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) add varied examples (d) use one group only
  19. 19.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  20. 20.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  21. 21.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
  22. 22.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  23. 23.True or false: “test on many groups” adds to bias. (a) False (b) True
  24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  25. 25.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  26. 26.True or false: “skip testing” helps reduce bias. (a) True (b) False
  27. 27.True or false: “ask different people” adds to bias. (a) True (b) False
  28. 28.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) check who is missing (d) use one group only
  30. 30.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  31. 31.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) ignore complaints (d) test on many groups
  32. 32.True or false: “add more of the same” adds to bias. (a) True (b) False
  33. 33.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on one group only (d) add varied examples
  34. 34.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  35. 35.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  36. 36.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  37. 37.Which of these adds to bias? (a) ignore complaints (b) test on many groups (c) add varied examples (d) fix wrong labels
  38. 38.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
  39. 39.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  40. 40.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) test on many groups (d) ask different people

Answer key

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

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