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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 219 · 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: test on one group only? (a) reduces bias (b) adds to bias
  2. 2.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  3. 3.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
  4. 4.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) ask different people (d) use one group only
  5. 5.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  6. 6.True or false: “test on many groups” adds to bias. (a) False (b) True
  7. 7.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) test on one group only (d) add varied examples
  8. 8.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  9. 9.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  10. 10.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  11. 11.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  12. 12.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  13. 13.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) check who is missing (d) use one group only
  14. 14.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) test on many groups (d) balance the data
  15. 15.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  16. 16.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  17. 17.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  18. 18.True or false: “skip testing” adds to bias. (a) True (b) False
  19. 19.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
  20. 20.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  21. 21.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
  22. 22.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  23. 23.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  24. 24.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  25. 25.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
  26. 26.Which of these adds to bias? (a) add varied examples (b) ask different people (c) test on many groups (d) use one group only
  27. 27.True or false: “ask different people” adds to bias. (a) False (b) True
  28. 28.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  29. 29.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) use one group only (d) add more of the same
  30. 30.True or false: “ignore complaints” adds to bias. (a) True (b) False
  31. 31.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  32. 32.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  33. 33.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
  34. 34.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  35. 35.True or false: “add varied examples” adds to bias. (a) False (b) True
  36. 36.True or false: “balance the data” adds to bias. (a) True (b) False
  37. 37.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) test on many groups (d) add more of the same
  38. 38.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) balance the data (d) ignore complaints
  39. 39.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  40. 40.Which of these adds to bias? (a) test on many groups (b) balance the data (c) check who is missing (d) skip testing

Answer key

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

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