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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 672 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
  2. 2.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) use one group only (d) fix wrong labels
  3. 3.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  4. 4.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  5. 5.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  6. 6.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) test on many groups (d) add varied examples
  7. 7.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) test on many groups (d) ignore complaints
  8. 8.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) copy old unfair choices (d) test on one group only
  9. 9.Which of these adds to bias? (a) ask different people (b) balance the data (c) test on many groups (d) use one group only
  10. 10.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) add more of the same (d) skip testing
  11. 11.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) ask different people (d) ignore complaints
  12. 12.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  13. 13.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  14. 14.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  15. 15.Which of these adds to bias? (a) balance the data (b) test on one group only (c) add varied examples (d) ask different people
  16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  17. 17.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) copy old unfair choices (d) ignore complaints
  18. 18.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  19. 19.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
  20. 20.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  21. 21.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  22. 22.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  23. 23.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) test on many groups (d) balance the data
  24. 24.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  25. 25.True or false: “skip testing” adds to bias. (a) False (b) True
  26. 26.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  27. 27.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  28. 28.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  29. 29.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  30. 30.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  31. 31.True or false: “test on one group only” adds to bias. (a) True (b) False
  32. 32.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  33. 33.True or false: “ask different people” adds to bias. (a) True (b) False
  34. 34.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  35. 35.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  36. 36.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) use one group only (d) balance the data
  37. 37.True or false: “check who is missing” adds to bias. (a) False (b) True
  38. 38.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  39. 39.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  40. 40.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data

Answer key

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

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