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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 453 · 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 helps reduce bias? (a) ignore complaints (b) skip testing (c) copy old unfair choices (d) ask different people
  2. 2.True or false: “skip testing” helps reduce bias. (a) True (b) False
  3. 3.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  4. 4.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
  5. 5.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  6. 6.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  7. 7.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  8. 8.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  10. 10.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  11. 11.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  12. 12.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  13. 13.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) ignore complaints (d) balance the data
  14. 14.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  15. 15.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  16. 16.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  17. 17.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  18. 18.Which of these adds to bias? (a) test on one group only (b) test on many groups (c) check who is missing (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 strong battery (c) a fair model (d) a broken screen
  20. 20.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
  21. 21.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) add more of the same (d) test on many groups
  22. 22.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  23. 23.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) skip testing (d) ignore complaints
  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) children speak too fast (d) it was a rainy day
  25. 25.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  26. 26.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  27. 27.True or false: “test on many groups” adds to bias. (a) True (b) False
  28. 28.True or false: “add more of the same” adds to bias. (a) True (b) False
  29. 29.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) fix wrong labels
  30. 30.True or false: “test on one group only” adds to bias. (a) True (b) False
  31. 31.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) test on many groups (d) test on one group only
  32. 32.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) copy old unfair choices (d) ask different people
  33. 33.True or false: “ask different people” helps reduce bias. (a) False (b) True
  34. 34.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) ignore complaints (d) check who is missing
  35. 35.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (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.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  38. 38.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) check who is missing (d) use one group only
  39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  40. 40.True or false: “copy old unfair choices” adds to bias. (a) True (b) False

Answer key

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

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