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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 597 · 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 adds to bias? (a) fix wrong labels (b) balance the data (c) add varied examples (d) copy old unfair choices
  2. 2.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  3. 3.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  4. 4.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  5. 5.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  6. 6.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  7. 7.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) use one group only (d) balance the data
  8. 8.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  9. 9.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) copy old unfair choices (d) balance the data
  10. 10.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  11. 11.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
  12. 12.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  13. 13.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  14. 14.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) check who is missing (d) add varied examples
  15. 15.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  16. 16.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  17. 17.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) test on many groups (d) add varied examples
  18. 18.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  19. 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  20. 20.Which of these helps reduce bias? (a) add varied examples (b) add more of the same (c) copy old unfair choices (d) ignore complaints
  21. 21.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  22. 22.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  23. 23.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  24. 24.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  25. 25.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  26. 26.True or false: “balance the data” adds to bias. (a) False (b) True
  27. 27.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  28. 28.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  29. 29.True or false: “use one group only” helps reduce bias. (a) True (b) False
  30. 30.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  31. 31.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) skip testing (d) check who is missing
  32. 32.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  33. 33.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) skip testing (d) fix wrong labels
  34. 34.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  35. 35.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  36. 36.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  37. 37.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
  38. 38.True or false: “add varied examples” adds to bias. (a) True (b) False
  39. 39.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
  40. 40.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) test on one group only (d) balance the data

Answer key

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

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