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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 759 · 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.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
  3. 3.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  4. 4.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) add varied examples (d) ask different people
  5. 5.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) ignore complaints
  6. 6.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) check who is missing (d) test on one group only
  7. 7.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  8. 8.True or false: “balance the data” helps reduce bias. (a) False (b) True
  9. 9.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  10. 10.True or false: “ask different people” helps reduce bias. (a) False (b) True
  11. 11.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  12. 12.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  13. 13.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) ask different people (d) copy old unfair choices
  14. 14.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  15. 15.Which of these adds to bias? (a) ask different people (b) add more of the same (c) check who is missing (d) fix wrong labels
  16. 16.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  17. 17.True or false: “use one group only” helps reduce bias. (a) True (b) False
  18. 18.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
  19. 19.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  20. 20.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  21. 21.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  22. 22.True or false: “skip testing” adds to bias. (a) True (b) False
  23. 23.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
  24. 24.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  25. 25.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
  26. 26.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) copy old unfair choices (d) use one group only
  27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  28. 28.True or false: “skip testing” helps reduce bias. (a) True (b) False
  29. 29.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  30. 30.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  31. 31.True or false: “add varied examples” adds to bias. (a) True (b) False
  32. 32.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) fix wrong labels (d) copy old unfair choices
  33. 33.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) use one group only (d) ignore complaints
  34. 34.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) add more of the same (d) test on many groups
  35. 35.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  36. 36.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  37. 37.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  38. 38.True or false: “test on many groups” adds to bias. (a) False (b) True
  39. 39.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  40. 40.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) ignore complaints (d) test on one group only

Answer key

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

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