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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 461 · 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 of these adds to bias? (a) ignore complaints (b) add varied examples (c) check who is missing (d) balance the data
  2. 2.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  3. 3.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) add more of the same (d) check who is missing
  4. 4.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) test on many groups (d) add more of the same
  5. 5.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  6. 6.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  7. 7.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  8. 8.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) balance the data (d) test on one group only
  9. 9.True or false: “skip testing” helps reduce bias. (a) False (b) True
  10. 10.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) balance the data (d) fix wrong labels
  11. 11.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  12. 12.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
  13. 13.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  14. 14.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  15. 15.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  16. 16.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  17. 17.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) check who is missing (d) balance the data
  18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  19. 19.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
  20. 20.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  21. 21.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  22. 22.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  23. 23.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  24. 24.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  25. 25.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
  26. 26.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  27. 27.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  28. 28.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  29. 29.True or false: “add varied examples” adds to bias. (a) False (b) True
  30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  31. 31.True or false: “ask different people” helps reduce bias. (a) False (b) True
  32. 32.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) add more of the same (d) ask different people
  33. 33.True or false: “add more of the same” adds to bias. (a) False (b) True
  34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  36. 36.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
  37. 37.True or false: “use one group only” adds to bias. (a) False (b) True
  38. 38.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  39. 39.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  40. 40.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data

Answer key

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

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