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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 292 · 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 many groups? (a) adds to bias (b) reduces bias
  2. 2.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  3. 3.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) copy old unfair choices (d) test on many groups
  4. 4.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  5. 5.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  6. 6.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  7. 7.🖼️ 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
  8. 8.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) use one group only (d) ask different people
  9. 9.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  11. 11.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) check who is missing (d) ask different people
  12. 12.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) add varied examples (d) test on one group only
  13. 13.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  14. 14.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  15. 15.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) add varied examples (d) test on many groups
  16. 16.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) balance the data (d) use one group only
  17. 17.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
  18. 18.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) fix wrong labels (d) ignore complaints
  19. 19.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  20. 20.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) balance the data (d) use one group only
  21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  22. 22.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) test on one group only (d) balance the data
  23. 23.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  24. 24.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  25. 25.True or false: “check who is missing” adds to bias. (a) False (b) True
  26. 26.Which of these adds to bias? (a) balance the data (b) add more of the same (c) test on many groups (d) add varied examples
  27. 27.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
  28. 28.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  29. 29.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  30. 30.Which of these helps reduce bias? (a) fix wrong labels (b) use one group only (c) add more of the same (d) copy old unfair choices
  31. 31.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  32. 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
  33. 33.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  35. 35.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  37. 37.True or false: “test on one group only” adds to bias. (a) True (b) False
  38. 38.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  39. 39.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  40. 40.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data

Answer key

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

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