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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 664 · 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.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
  2. 2.True or false: “balance the data” helps reduce bias. (a) False (b) True
  3. 3.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) ignore complaints (d) balance the data
  4. 4.🖼️ 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
  5. 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  6. 6.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  7. 7.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  8. 8.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
  9. 9.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  10. 10.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  11. 11.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) test on one group only (d) check who is missing
  12. 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  13. 13.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  14. 14.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) add varied examples (d) test on one group only
  15. 15.True or false: “test on one group only” adds to bias. (a) True (b) False
  16. 16.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) add more of the same (d) check who is missing
  17. 17.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on many groups (d) test on one group only
  18. 18.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  19. 19.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  20. 20.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  21. 21.True or false: “test on many groups” adds to bias. (a) False (b) True
  22. 22.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  23. 23.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) check who is missing (d) fix wrong labels
  24. 24.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) test on one group only (d) add more of the same
  25. 25.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  26. 26.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) add varied examples (d) ask different people
  27. 27.True or false: “ignore complaints” adds to bias. (a) False (b) True
  28. 28.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ignore complaints (d) test on many groups
  29. 29.Which of these adds to bias? (a) add more of the same (b) add varied examples (c) test on many groups (d) ask different people
  30. 30.🗣️ 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
  31. 31.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  33. 33.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) test on many groups
  34. 34.True or false: “skip testing” adds to bias. (a) False (b) True
  35. 35.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  36. 36.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  37. 37.True or false: “skip testing” helps reduce bias. (a) False (b) True
  38. 38.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) use one group only (d) add more of the same
  39. 39.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  40. 40.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias

Answer key

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

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