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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 955 · 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: “balance the data” adds to bias. (a) True (b) False
  2. 2.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  3. 3.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  4. 4.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  5. 5.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  6. 6.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) check who is missing (d) skip testing
  7. 7.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  8. 8.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  9. 9.True or false: “check who is missing” adds to bias. (a) True (b) False
  10. 10.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  11. 11.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  12. 12.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
  13. 13.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) fix wrong labels (d) use one group only
  14. 14.True or false: “test on one group only” adds to bias. (a) False (b) True
  15. 15.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  16. 16.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  17. 17.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) use one group only (d) skip testing
  18. 18.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) fix wrong labels
  19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  20. 20.Which of these helps reduce bias? (a) test on many groups (b) test on one group only (c) add more of the same (d) use one group only
  21. 21.Which of these adds to bias? (a) skip testing (b) check who is missing (c) test on many groups (d) ask different people
  22. 22.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
  23. 23.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  24. 24.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
  25. 25.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) balance the data
  26. 26.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  27. 27.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  28. 28.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  29. 29.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  30. 30.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) balance the data (d) fix wrong labels
  31. 31.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  32. 32.Which of these adds to bias? (a) test on one group only (b) ask different people (c) balance the data (d) test on many groups
  33. 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) test on one group only (d) use one group only
  34. 34.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  35. 35.True or false: “test on many groups” adds to bias. (a) False (b) True
  36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
  37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  38. 38.True or false: “use one group only” adds to bias. (a) False (b) True
  39. 39.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  40. 40.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) copy old unfair choices (d) ask different people

Answer key

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

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