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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 952 · 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: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  2. 2.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  3. 3.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  4. 4.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) test on many groups (d) use one group only
  5. 5.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  6. 6.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
  7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
  8. 8.Which of these helps reduce bias? (a) use one group only (b) fix wrong labels (c) test on one group only (d) add more of the same
  9. 9.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  10. 10.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  11. 11.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  12. 12.True or false: “skip testing” helps reduce bias. (a) False (b) True
  13. 13.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  14. 14.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  15. 15.Which of these adds to bias? (a) test on many groups (b) ask different people (c) use one group only (d) check who is missing
  16. 16.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  17. 17.Which of these adds to bias? (a) test on one group only (b) fix wrong labels (c) add varied examples (d) check who is missing
  18. 18.Which of these helps reduce bias? (a) copy old unfair choices (b) balance the data (c) test on one group only (d) add more of the same
  19. 19.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  20. 20.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  21. 21.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) add varied examples (d) check who is missing
  22. 22.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  23. 23.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  24. 24.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) test on one group only (d) ignore complaints
  25. 25.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) ask different people (d) test on many groups
  26. 26.Which of these helps reduce bias? (a) ask different people (b) use one group only (c) ignore complaints (d) test on one group only
  27. 27.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  28. 28.True or false: “ask different people” adds to bias. (a) True (b) False
  29. 29.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  30. 30.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  31. 31.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
  32. 32.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) use one group only (d) ask different people
  33. 33.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  34. 34.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  35. 35.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  36. 36.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  37. 37.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  38. 38.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  39. 39.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  40. 40.True or false: “balance the data” adds to bias. (a) False (b) True

Answer key

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

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