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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 466 · 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 broken screen (c) a strong battery (d) bias from data
  2. 2.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
  3. 3.True or false: “ask different people” adds to bias. (a) True (b) False
  4. 4.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  5. 5.True or false: “skip testing” helps reduce bias. (a) True (b) False
  6. 6.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) test on many groups (d) use one group only
  7. 7.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  8. 8.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) add varied examples
  9. 9.True or false: “add varied examples” adds to bias. (a) False (b) True
  10. 10.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  11. 11.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  12. 12.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  13. 13.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  15. 15.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  16. 16.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  17. 17.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
  18. 18.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  19. 19.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  20. 20.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) ignore complaints (d) add varied examples
  21. 21.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  22. 22.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
  23. 23.Which of these adds to bias? (a) check who is missing (b) test on one group only (c) fix wrong labels (d) test on many groups
  24. 24.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  25. 25.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  26. 26.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) add more of the same (d) use one group only
  27. 27.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) add more of the same (d) skip testing
  28. 28.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  29. 29.Which of these adds to bias? (a) check who is missing (b) use one group only (c) balance the data (d) add varied examples
  30. 30.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) ask different people
  31. 31.True or false: “skip testing” adds to bias. (a) True (b) False
  32. 32.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  33. 33.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  34. 34.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) add more of the same (d) test on one group only
  35. 35.True or false: “ignore complaints” adds to bias. (a) False (b) True
  36. 36.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  37. 37.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) fix wrong labels (d) use one group only
  38. 38.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  39. 39.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) use one group only
  40. 40.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False

Answer key

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

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