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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 364 · 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: “test on many groups” helps reduce bias. (a) True (b) False
  2. 2.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) test on one group only (d) skip testing
  3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  4. 4.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  5. 5.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) ask different people (d) copy old unfair choices
  6. 6.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
  7. 7.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  8. 8.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  9. 9.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  11. 11.True or false: “ignore complaints” adds to bias. (a) True (b) False
  12. 12.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) copy old unfair choices (d) balance the data
  13. 13.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  15. 15.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  16. 16.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) ask different people (d) test on one group only
  17. 17.True or false: “balance the data” helps reduce bias. (a) True (b) False
  18. 18.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) copy old unfair choices (d) test on one group only
  19. 19.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
  20. 20.True or false: “test on one group only” adds to bias. (a) False (b) True
  21. 21.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  22. 22.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) skip testing (d) add more of the same
  23. 23.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) add varied examples (d) ignore complaints
  24. 24.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  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: “ask different people” adds to bias. (a) True (b) False
  27. 27.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  28. 28.True or false: “balance the data” adds to bias. (a) False (b) True
  29. 29.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
  30. 30.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  31. 31.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  32. 32.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
  33. 33.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) skip testing (d) fix wrong labels
  34. 34.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  35. 35.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  36. 36.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  37. 37.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  38. 38.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  39. 39.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on many groups (d) ignore complaints

Answer key

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

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