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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 860 · 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.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) ask different people (d) use one group only
  2. 2.True or false: “add varied examples” adds to bias. (a) False (b) True
  3. 3.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  4. 4.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  5. 5.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) use one group only (d) test on many groups
  6. 6.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  7. 7.Which of these adds to bias? (a) check who is missing (b) add more of the same (c) add varied examples (d) test on many groups
  8. 8.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
  9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) ask different people (d) test on many groups
  10. 10.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  11. 11.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  12. 12.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  13. 13.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) test on many groups (d) add varied examples
  14. 14.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) ignore complaints (d) ask different people
  15. 15.True or false: “ask different people” helps reduce bias. (a) True (b) False
  16. 16.True or false: “skip testing” helps reduce bias. (a) True (b) False
  17. 17.True or false: “use one group only” adds to bias. (a) True (b) False
  18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
  19. 19.🔍 Which is the odd one out? (a) add more of the same (b) balance the data (c) fix wrong labels (d) test on many groups
  20. 20.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
  21. 21.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  22. 22.Which of these helps reduce bias? (a) test on one group only (b) balance the data (c) use one group only (d) copy old unfair choices
  23. 23.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) ask different people (d) skip testing
  24. 24.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
  25. 25.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  26. 26.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  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: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  30. 30.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  31. 31.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  32. 32.Which of these helps reduce bias? (a) test on many groups (b) test on one group only (c) use one group only (d) skip testing
  33. 33.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  34. 34.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  35. 35.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) copy old unfair choices (d) add varied examples
  36. 36.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  37. 37.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  38. 38.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
  39. 39.True or false: “ask different people” adds to bias. (a) False (b) True
  40. 40.True or false: “ignore complaints” adds to bias. (a) True (b) False

Answer key

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

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