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AI Bias Worksheet for Kids

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

Answer key

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

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