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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 739 · 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) balance the data (b) add varied examples (c) skip testing (d) check who is missing
  2. 2.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  3. 3.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
  4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  5. 5.True or false: “balance the data” helps reduce bias. (a) True (b) False
  6. 6.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ignore complaints (d) test on many groups
  7. 7.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  8. 8.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) add varied examples (d) ignore complaints
  9. 9.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on many groups (d) test on one group only
  10. 10.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  11. 11.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  12. 12.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) test on one group only (d) skip testing
  13. 13.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  14. 14.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  15. 15.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) check who is missing (d) skip testing
  16. 16.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) use one group only (d) ignore complaints
  17. 17.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  18. 18.🗣️ 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) the phone was new (d) it was a rainy day
  19. 19.True or false: “add varied examples” adds to bias. (a) False (b) True
  20. 20.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) use one group only (d) add more of the same
  21. 21.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  22. 22.True or false: “check who is missing” adds to bias. (a) False (b) True
  23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  24. 24.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
  25. 25.Which of these helps reduce bias? (a) test on one group only (b) add varied examples (c) use one group only (d) copy old unfair choices
  26. 26.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) balance the data (d) add more of the same
  27. 27.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  28. 28.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) test on many groups (d) add varied examples
  29. 29.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  30. 30.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  31. 31.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  32. 32.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  33. 33.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  34. 34.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) test on many groups (d) ignore complaints
  35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  36. 36.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) ask different people (d) copy old unfair choices
  37. 37.True or false: “ignore complaints” adds to bias. (a) False (b) True
  38. 38.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  39. 39.True or false: “use one group only” helps reduce bias. (a) True (b) False
  40. 40.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) ask different people (d) copy old unfair choices

Answer key

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

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