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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 480 · 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.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  2. 2.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  3. 3.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  4. 4.True or false: “test on many groups” adds to bias. (a) False (b) True
  5. 5.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  6. 6.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) ignore complaints
  7. 7.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  8. 8.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) check who is missing (d) test on one group only
  9. 9.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  10. 10.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ignore complaints (d) test on many groups
  11. 11.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  12. 12.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  13. 13.Which of these adds to bias? (a) balance the data (b) check who is missing (c) use one group only (d) ask different people
  14. 14.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  15. 15.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  16. 16.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  17. 17.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) skip testing (d) use one group only
  18. 18.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  19. 19.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  20. 20.🔍 Which is the odd one out? (a) balance the data (b) ignore complaints (c) copy old unfair choices (d) skip testing
  21. 21.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  22. 22.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) balance the data (d) test on many groups
  23. 23.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
  24. 24.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  25. 25.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  26. 26.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  27. 27.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  28. 28.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  29. 29.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) test on one group only (d) add varied examples
  30. 30.True or false: “check who is missing” adds to bias. (a) False (b) True
  31. 31.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) copy old unfair choices (d) balance the data
  32. 32.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) check who is missing (d) ignore complaints
  33. 33.🗣️ 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
  34. 34.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  35. 35.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  36. 36.True or false: “use one group only” adds to bias. (a) False (b) True
  37. 37.🖼️ 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
  38. 38.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  40. 40.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True

Answer key

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

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