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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 988 · 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.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  2. 2.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) copy old unfair choices (d) add varied examples
  4. 4.True or false: “ignore complaints” adds to bias. (a) False (b) True
  5. 5.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  6. 6.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  7. 7.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  8. 8.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  9. 9.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) fix wrong labels (d) add more of the same
  10. 10.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  11. 11.Which of these adds to bias? (a) add varied examples (b) balance the data (c) skip testing (d) ask different people
  12. 12.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
  13. 13.True or false: “use one group only” adds to bias. (a) False (b) True
  14. 14.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) ignore complaints (d) skip testing
  15. 15.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  16. 16.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) add varied examples (d) balance the data
  17. 17.Which of these adds to bias? (a) ignore complaints (b) test on many groups (c) check who is missing (d) balance the data
  18. 18.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) add more of the same (d) ask different people
  19. 19.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) test on many groups (d) use one group only
  20. 20.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  21. 21.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  22. 22.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
  23. 23.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  24. 24.True or false: “add more of the same” adds to bias. (a) False (b) True
  25. 25.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
  26. 26.True or false: “ask different people” adds to bias. (a) True (b) False
  27. 27.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
  28. 28.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) check who is missing (d) test on many groups
  29. 29.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) ask different people (d) copy old unfair choices
  30. 30.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) test on many groups (d) copy old unfair choices
  31. 31.True or false: “ask different people” helps reduce bias. (a) True (b) False
  32. 32.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) check who is missing (d) ask different people
  33. 33.True or false: “balance the data” helps reduce bias. (a) False (b) True
  34. 34.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  35. 35.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  36. 36.Which of these adds to bias? (a) test on one group only (b) test on many groups (c) balance the data (d) add varied examples
  37. 37.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  38. 38.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  39. 39.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  40. 40.True or false: “check who is missing” helps reduce bias. (a) False (b) True

Answer key

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

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