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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 362 · 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.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
  2. 2.True or false: “add varied examples” adds to bias. (a) False (b) True
  3. 3.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) use one group only (d) ask different people
  4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
  5. 5.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
  6. 6.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  7. 7.True or false: “test on one group only” adds to bias. (a) True (b) False
  8. 8.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) use one group only (d) test on many groups
  9. 9.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on many groups (d) use one group only
  10. 10.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  11. 11.True or false: “balance the data” helps reduce bias. (a) True (b) False
  12. 12.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) check who is missing (d) add varied examples
  13. 13.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  15. 15.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) copy old unfair choices (d) add varied examples
  16. 16.True or false: “ignore complaints” adds to bias. (a) True (b) False
  17. 17.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  18. 18.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  20. 20.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) balance the data (d) add more of the same
  21. 21.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) add more of the same (d) use one group only
  22. 22.True or false: “balance the data” adds to bias. (a) False (b) True
  23. 23.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) skip testing (d) balance the data
  24. 24.Which of these adds to bias? (a) ask different people (b) test on many groups (c) ignore complaints (d) add varied examples
  25. 25.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  26. 26.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  27. 27.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  28. 28.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  29. 29.Which of these adds to bias? (a) copy old unfair choices (b) check who is missing (c) add varied examples (d) test on many groups
  30. 30.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  31. 31.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  32. 32.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  33. 33.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  34. 34.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  36. 36.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  37. 37.True or false: “skip testing” helps reduce bias. (a) True (b) False
  38. 38.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) test on one group only (d) ask different people
  39. 39.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  40. 40.True or false: “copy old unfair choices” adds to bias. (a) True (b) False

Answer key

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

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