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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 228 · 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: check who is missing? (a) reduces bias (b) adds to bias
  2. 2.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  3. 3.True or false: “use one group only” adds to bias. (a) False (b) True
  4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) the phone was new (d) it was a rainy day
  5. 5.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
  6. 6.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) skip testing (d) test on many groups
  7. 7.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) ask different people (d) use one group only
  8. 8.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  9. 9.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  10. 10.True or false: “ask different people” adds to bias. (a) False (b) True
  11. 11.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  12. 12.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  13. 13.True or false: “use one group only” helps reduce bias. (a) True (b) False
  14. 14.Which of these adds to bias? (a) test on many groups (b) ask different people (c) skip testing (d) add varied examples
  15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
  16. 16.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
  17. 17.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  18. 18.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) balance the data (d) check who is missing
  19. 19.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) check who is missing (d) balance the data
  20. 20.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) fix wrong labels (d) check who is missing
  21. 21.True or false: “test on many groups” adds to bias. (a) False (b) True
  22. 22.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
  23. 23.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  24. 24.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  25. 25.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  26. 26.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  27. 27.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  28. 28.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  30. 30.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) skip testing (d) fix wrong labels
  32. 32.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  33. 33.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) test on many groups (d) test on one group only
  34. 34.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  35. 35.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) skip testing (d) test on one group only
  36. 36.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) copy old unfair choices (d) fix wrong labels
  37. 37.Which of these adds to bias? (a) check who is missing (b) test on one group only (c) balance the data (d) add varied examples
  38. 38.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) ignore complaints (d) test on one group only
  39. 39.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
  40. 40.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False

Answer key

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

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