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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 159 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
  2. 2.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  3. 3.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) check who is missing (d) test on one group only
  4. 4.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  5. 5.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  6. 6.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  7. 7.Which of these helps reduce bias? (a) copy old unfair choices (b) add varied examples (c) skip testing (d) ignore complaints
  8. 8.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) check who is missing (d) ignore complaints
  10. 10.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  11. 11.True or false: “use one group only” adds to bias. (a) True (b) False
  12. 12.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  13. 13.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) balance the data (d) check who is missing
  14. 14.True or false: “check who is missing” adds to bias. (a) True (b) False
  15. 15.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  17. 17.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  18. 18.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) test on many groups (d) test on one group only
  19. 19.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  20. 20.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  21. 21.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  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.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  24. 24.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
  25. 25.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  26. 26.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  27. 27.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) use one group only (d) add more of the same
  28. 28.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  29. 29.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) ignore complaints (d) use one group only
  31. 31.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) use one group only (d) balance the data
  32. 32.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  33. 33.True or false: “ask different people” adds to bias. (a) True (b) False
  34. 34.True or false: “balance the data” adds to bias. (a) False (b) True
  35. 35.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  37. 37.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) skip testing (d) fix wrong labels
  38. 38.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  39. 39.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
  40. 40.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True

Answer key

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

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