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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 875 · 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.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) fix wrong labels (d) ask different people
  2. 2.True or false: “balance the data” adds to bias. (a) False (b) True
  3. 3.Which of these adds to bias? (a) check who is missing (b) add more of the same (c) add varied examples (d) fix wrong labels
  4. 4.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  5. 5.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  6. 6.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  7. 7.Which of these helps reduce bias? (a) ignore complaints (b) test on many groups (c) skip testing (d) add more of the same
  8. 8.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  9. 9.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) balance the data (d) ask different people
  10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
  11. 11.True or false: “skip testing” helps reduce bias. (a) False (b) True
  12. 12.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  13. 13.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  14. 14.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) use one group only (d) test on many groups
  15. 15.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  16. 16.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  17. 17.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) use one group only (d) fix wrong labels
  18. 18.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) add more of the same (d) test on many groups
  19. 19.Which of these adds to bias? (a) test on one group only (b) check who is missing (c) add varied examples (d) test on many groups
  20. 20.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  21. 21.True or false: “use one group only” helps reduce bias. (a) True (b) False
  22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
  23. 23.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  24. 24.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  26. 26.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) check who is missing (d) ignore complaints
  27. 27.True or false: “balance the data” helps reduce bias. (a) False (b) True
  28. 28.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  29. 29.Which of these adds to bias? (a) ignore complaints (b) add varied examples (c) fix wrong labels (d) balance the data
  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.Which of these adds to bias? (a) test on many groups (b) balance the data (c) copy old unfair choices (d) check who is missing
  32. 32.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  33. 33.True or false: “test on many groups” adds to bias. (a) True (b) False
  34. 34.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  35. 35.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  36. 36.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  37. 37.Which of these adds to bias? (a) skip testing (b) ask different people (c) balance the data (d) test on many groups
  38. 38.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  39. 39.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  40. 40.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) fix wrong labels (d) skip testing

Answer key

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

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