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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 204 · 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.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  2. 2.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  3. 3.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  4. 4.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) copy old unfair choices (d) ask different people
  5. 5.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  6. 6.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  7. 7.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  8. 8.🗣️ 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
  9. 9.True or false: “test on one group only” adds to bias. (a) False (b) True
  10. 10.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
  12. 12.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  13. 13.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  14. 14.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) test on one group only
  15. 15.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  16. 16.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  17. 17.True or false: “add varied examples” adds to bias. (a) False (b) True
  18. 18.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  19. 19.Which of these helps reduce bias? (a) skip testing (b) add varied examples (c) ignore complaints (d) copy old unfair choices
  20. 20.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  21. 21.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  22. 22.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  23. 23.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  24. 24.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) fix wrong labels (d) use one group only
  25. 25.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  26. 26.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) copy old unfair choices
  27. 27.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) ask different people (d) test on many groups
  28. 28.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  29. 29.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  30. 30.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  31. 31.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) ask different people (d) add more of the same
  32. 32.True or false: “ask different people” helps reduce bias. (a) False (b) True
  33. 33.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  34. 34.True or false: “ask different people” adds to bias. (a) True (b) False
  35. 35.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
  36. 36.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  37. 37.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  38. 38.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  39. 39.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) ask different people (d) ignore complaints
  40. 40.True or false: “ignore complaints” adds to bias. (a) False (b) True

Answer key

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

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