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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 57 · 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 is the odd one out? (a) test on one group only (b) check who is missing (c) add varied examples (d) balance the data
  2. 2.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  3. 3.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) test on one group only (d) use one group only
  4. 4.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  5. 5.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
  6. 6.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
  7. 7.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  8. 8.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  9. 9.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  10. 10.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) check who is missing (d) use one group only
  11. 11.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
  12. 12.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  13. 13.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  14. 14.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) add varied examples (d) skip testing
  15. 15.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  16. 16.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  17. 17.True or false: “skip testing” adds to bias. (a) False (b) True
  18. 18.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) copy old unfair choices (d) add varied examples
  19. 19.True or false: “balance the data” adds to bias. (a) False (b) True
  20. 20.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) use one group only (d) balance the data
  21. 21.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  22. 22.True or false: “use one group only” helps reduce bias. (a) False (b) True
  23. 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
  24. 24.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  25. 25.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  26. 26.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  28. 28.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  29. 29.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  30. 30.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  31. 31.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  32. 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  33. 33.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) check who is missing (d) balance the data
  34. 34.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  35. 35.True or false: “ask different people” helps reduce bias. (a) False (b) True
  36. 36.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  37. 37.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) use one group only (d) add more of the same
  38. 38.🗣️ 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) few child voices in data (d) children speak too fast
  39. 39.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  40. 40.True or false: “add varied examples” adds to bias. (a) False (b) True

Answer key

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

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