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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 744 · 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) test on many groups (b) check who is missing (c) balance the data (d) copy old unfair choices
  2. 2.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  3. 3.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  4. 4.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) add varied examples (d) use one group only
  5. 5.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  6. 6.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  7. 7.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  8. 8.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) add more of the same (d) test on one group only
  9. 9.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  10. 10.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  12. 12.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  13. 13.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  14. 14.True or false: “balance the data” helps reduce bias. (a) False (b) True
  15. 15.True or false: “ask different people” helps reduce bias. (a) True (b) False
  16. 16.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  17. 17.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) add more of the same
  18. 18.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) copy old unfair choices (d) add varied examples
  19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
  20. 20.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  21. 21.True or false: “test on many groups” adds to bias. (a) False (b) True
  22. 22.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  23. 23.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) add varied examples (d) use one group only
  24. 24.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) use one group only (d) copy old unfair choices
  25. 25.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  26. 26.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  27. 27.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  28. 28.True or false: “skip testing” helps reduce bias. (a) False (b) True
  29. 29.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  30. 30.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
  31. 31.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  32. 32.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  33. 33.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  34. 34.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  35. 35.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  36. 36.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  37. 37.True or false: “ignore complaints” adds to bias. (a) True (b) False
  38. 38.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) test on many groups (d) ignore complaints
  39. 39.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
  40. 40.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True

Answer key

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

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