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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 408 · 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.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  2. 2.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  3. 3.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
  4. 4.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  5. 5.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  6. 6.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  7. 7.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  8. 8.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) test on many groups (d) copy old unfair choices
  9. 9.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  10. 10.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  11. 11.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  13. 13.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) use one group only (d) add varied examples
  14. 14.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) skip testing (d) copy old unfair choices
  15. 15.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  16. 16.Which of these helps reduce bias? (a) copy old unfair choices (b) balance the data (c) use one group only (d) skip testing
  17. 17.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  18. 18.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
  19. 19.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  20. 20.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  21. 21.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) ignore complaints (d) check who is missing
  22. 22.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  23. 23.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  24. 24.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
  25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  26. 26.True or false: “test on many groups” adds to bias. (a) False (b) True
  27. 27.🖼️ 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
  28. 28.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  29. 29.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) copy old unfair choices (d) test on many groups
  30. 30.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  31. 31.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) test on one group only (d) add varied examples
  32. 32.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) ignore complaints (d) test on one group only
  33. 33.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  35. 35.True or false: “ignore complaints” adds to bias. (a) False (b) True
  36. 36.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  37. 37.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  38. 38.True or false: “use one group only” adds to bias. (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) check who is missing (d) test on one group only
  40. 40.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data

Answer key

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

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