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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 893 · 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: “test on many groups” helps reduce bias. (a) False (b) True
  2. 2.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  3. 3.True or false: “add more of the same” adds to bias. (a) True (b) False
  4. 4.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  5. 5.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  7. 7.🗣️ 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
  8. 8.True or false: “use one group only” adds to bias. (a) True (b) False
  9. 9.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  10. 10.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  11. 11.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) ask different people (d) skip testing
  12. 12.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) test on many groups (d) test on one group only
  13. 13.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  14. 14.True or false: “ask different people” adds to bias. (a) True (b) False
  15. 15.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) use one group only (d) add varied examples
  16. 16.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) use one group only
  17. 17.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
  18. 18.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) fix wrong labels (d) use one group only
  19. 19.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  20. 20.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  21. 21.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  22. 22.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  23. 23.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  24. 24.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  25. 25.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  26. 26.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  27. 27.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  28. 28.True or false: “balance the data” adds to bias. (a) False (b) True
  29. 29.True or false: “ask different people” helps reduce bias. (a) True (b) False
  30. 30.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) use one group only (d) copy old unfair choices
  31. 31.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  32. 32.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  33. 33.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) add more of the same (d) test on one group only
  34. 34.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) copy old unfair choices (d) skip testing
  35. 35.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  36. 36.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  37. 37.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  38. 38.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  39. 39.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  40. 40.True or false: “ignore complaints” adds to bias. (a) False (b) True

Answer key

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

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