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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 340 · 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.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  2. 2.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) check who is missing (d) use one group only
  3. 3.Which of these adds to bias? (a) add varied examples (b) ignore complaints (c) test on many groups (d) check who is missing
  4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  5. 5.Which of these helps reduce bias? (a) ask different people (b) copy old unfair choices (c) test on one group only (d) skip testing
  6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
  7. 7.True or false: “skip testing” adds to bias. (a) True (b) False
  8. 8.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  9. 9.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) ignore complaints (d) skip testing
  10. 10.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  11. 11.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  12. 12.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  13. 13.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  14. 14.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  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) copy old unfair choices (b) fix wrong labels (c) check who is missing (d) add varied examples
  17. 17.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  18. 18.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) add varied examples (d) copy old unfair choices
  19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  20. 20.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  21. 21.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
  22. 22.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  23. 23.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  24. 24.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  25. 25.True or false: “test on many groups” adds to bias. (a) False (b) True
  26. 26.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) add more of the same (d) test on one group only
  27. 27.True or false: “add more of the same” adds to bias. (a) True (b) False
  28. 28.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.True or false: “balance the data” adds to bias. (a) False (b) True
  30. 30.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) copy old unfair choices (d) add more of the same
  31. 31.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  32. 32.True or false: “add varied examples” adds to bias. (a) True (b) False
  33. 33.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) balance the data (d) test on many groups
  34. 34.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
  35. 35.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  36. 36.True or false: “use one group only” helps reduce bias. (a) True (b) False
  37. 37.🗣️ 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
  38. 38.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) test on many groups (d) ignore complaints
  39. 39.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  40. 40.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

Answer key

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

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