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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 738 · 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: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
  3. 3.True or false: “ignore complaints” adds to bias. (a) True (b) False
  4. 4.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  5. 5.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  6. 6.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  7. 7.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  8. 8.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
  9. 9.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  10. 10.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) skip testing (d) balance the data
  11. 11.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  12. 12.True or false: “add more of the same” adds to bias. (a) True (b) False
  13. 13.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  14. 14.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  15. 15.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  16. 16.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
  17. 17.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  18. 18.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  19. 19.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  20. 20.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  21. 21.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) test on many groups (d) use one group only
  22. 22.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) test on one group only (d) ignore complaints
  23. 23.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  25. 25.Which of these adds to bias? (a) check who is missing (b) use one group only (c) ask different people (d) add varied examples
  26. 26.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  27. 27.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  28. 28.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  29. 29.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  30. 30.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) test on one group only (d) add varied examples
  31. 31.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  32. 32.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  34. 34.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) ignore complaints (d) copy old unfair choices
  35. 35.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  36. 36.Which of these helps reduce bias? (a) add varied examples (b) skip testing (c) test on one group only (d) add more of the same
  37. 37.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  38. 38.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  39. 39.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) use one group only (d) fix wrong labels
  40. 40.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data

Answer key

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

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