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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 746 · 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: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
  3. 3.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) use one group only (d) test on many groups
  4. 4.Which of these adds to bias? (a) balance the data (b) ask different people (c) check who is missing (d) use one group only
  5. 5.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  6. 6.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  7. 7.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
  8. 8.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  9. 9.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  10. 10.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  11. 11.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) use one group only (d) ask different people
  12. 12.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  13. 13.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  14. 14.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  15. 15.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  16. 16.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  17. 17.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  18. 18.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  19. 19.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) check who is missing (d) add varied examples
  20. 20.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) balance the data (d) check who is missing
  21. 21.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) balance the data (d) skip testing
  22. 22.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  23. 23.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  24. 24.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  25. 25.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  26. 26.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  27. 27.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) add more of the same (d) balance the data
  28. 28.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  29. 29.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  30. 30.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  31. 31.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  32. 32.True or false: “ignore complaints” adds to bias. (a) False (b) True
  33. 33.True or false: “check who is missing” adds to bias. (a) False (b) True
  34. 34.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  35. 35.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) copy old unfair choices (d) ask different people
  36. 36.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  37. 37.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  38. 38.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  39. 39.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
  40. 40.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False

Answer key

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

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