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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 912 · 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 of these adds to bias? (a) skip testing (b) check who is missing (c) add varied examples (d) test on many groups
  2. 2.Which of these adds to bias? (a) check who is missing (b) balance the data (c) ask different people (d) test on one group only
  3. 3.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
  4. 4.True or false: “ask different people” adds to bias. (a) False (b) True
  5. 5.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  6. 6.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  7. 7.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  8. 8.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) copy old unfair choices (d) test on one group only
  9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) test on many groups (d) balance the data
  10. 10.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  11. 11.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) skip testing (d) test on one group only
  12. 12.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) ignore complaints (d) fix wrong labels
  13. 13.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) test on one group only (d) add varied examples
  14. 14.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  15. 15.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  16. 16.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  17. 17.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  18. 18.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  20. 20.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  21. 21.True or false: “add varied examples” adds to bias. (a) True (b) False
  22. 22.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
  23. 23.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  25. 25.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  26. 26.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  27. 27.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  28. 28.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  30. 30.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  31. 31.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
  32. 32.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  33. 33.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  34. 34.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) add more of the same (d) balance the data
  35. 35.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  36. 36.True or false: “balance the data” adds to bias. (a) True (b) False
  37. 37.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) add varied examples (d) copy old unfair choices
  38. 38.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) balance the data
  39. 39.True or false: “use one group only” adds to bias. (a) False (b) True
  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. skip testing
  2. test on one group only
  3. its training data
  4. False
  5. reduces bias
  6. adds to bias
  7. True
  8. ask different people
  9. test on one group only
  10. True
  11. check who is missing
  12. fix wrong labels
  13. add varied examples
  14. True
  15. reduces bias
  16. True
  17. adds to bias
  18. False
  19. one-sided data
  20. one-sided data
  21. False
  22. more varied data
  23. reduces bias
  24. adds to bias
  25. True
  26. True
  27. one-sided data
  28. adds to bias
  29. balanced data
  30. False
  31. few child voices in data
  32. balanced data
  33. one-sided data
  34. balance the data
  35. adds to bias
  36. False
  37. add varied examples
  38. balance the data
  39. True
  40. True

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