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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 236 · 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 varied examples? (a) reduces bias (b) adds to bias
  2. 2.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  3. 3.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  4. 4.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) add more of the same (d) ask different people
  5. 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  6. 6.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  7. 7.True or false: “add more of the same” adds to bias. (a) False (b) True
  8. 8.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  9. 9.Which of these helps reduce bias? (a) fix wrong labels (b) use one group only (c) ignore complaints (d) copy old unfair choices
  10. 10.🗣️ 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
  11. 11.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  12. 12.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) skip testing (d) add varied examples
  13. 13.Which of these adds to bias? (a) balance the data (b) ask different people (c) test on one group only (d) fix wrong labels
  14. 14.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
  15. 15.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) skip testing (d) ask different people
  16. 16.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  17. 17.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  18. 18.🖼️ 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
  19. 19.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  20. 20.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  21. 21.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  22. 22.True or false: “test on many groups” adds to bias. (a) True (b) False
  23. 23.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  24. 24.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on many groups (d) ignore complaints
  25. 25.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
  26. 26.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  27. 27.True or false: “ask different people” helps reduce bias. (a) False (b) True
  28. 28.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) balance the data (d) use one group only
  29. 29.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  30. 30.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  31. 31.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  32. 32.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  33. 33.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  34. 34.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  35. 35.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) copy old unfair choices (d) add varied examples
  36. 36.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  37. 37.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  38. 38.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  39. 39.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  40. 40.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data

Answer key

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

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