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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 850 · 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.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  2. 2.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) ignore complaints (d) skip testing
  3. 3.True or false: “ask different people” adds to bias. (a) True (b) False
  4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
  5. 5.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  6. 6.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  7. 7.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  8. 8.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
  9. 9.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) test on one group only (d) skip testing
  10. 10.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  11. 11.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) use one group only (d) skip testing
  12. 12.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) check who is missing (d) fix wrong labels
  13. 13.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
  14. 14.True or false: “balance the data” adds to bias. (a) False (b) True
  15. 15.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  16. 16.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  17. 17.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  18. 18.Which of these adds to bias? (a) skip testing (b) add varied examples (c) test on many groups (d) ask different people
  19. 19.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  20. 20.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  21. 21.True or false: “skip testing” adds to bias. (a) False (b) True
  22. 22.True or false: “check who is missing” adds to bias. (a) False (b) True
  23. 23.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  24. 24.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  25. 25.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  26. 26.Which of these helps reduce bias? (a) skip testing (b) fix wrong labels (c) ignore complaints (d) add more of the same
  27. 27.Which of these adds to bias? (a) balance the data (b) check who is missing (c) add varied examples (d) copy old unfair choices
  28. 28.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  29. 29.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) use one group only (d) test on many groups
  30. 30.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  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: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  33. 33.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) test on one group only (d) balance the data
  34. 34.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) balance the data
  35. 35.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  36. 36.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  37. 37.True or false: “add more of the same” adds to bias. (a) True (b) False
  38. 38.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
  39. 39.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  40. 40.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias

Answer key

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

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