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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 98 · 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 helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) test on many groups (d) use one group only
  2. 2.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  3. 3.🗣️ 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) few child voices in data (d) the phone was new
  4. 4.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  5. 5.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  6. 6.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) fix wrong labels
  7. 7.Which of these adds to bias? (a) use one group only (b) test on many groups (c) check who is missing (d) ask different people
  8. 8.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) add varied examples (d) test on many groups
  10. 10.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  11. 11.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  12. 12.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  13. 13.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  14. 14.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  15. 15.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) add more of the same (d) add varied examples
  16. 16.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  17. 17.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  18. 18.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  19. 19.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) check who is missing (d) add varied examples
  20. 20.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  21. 21.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  22. 22.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  23. 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
  24. 24.True or false: “ask different people” helps reduce bias. (a) False (b) True
  25. 25.True or false: “ask different people” adds to bias. (a) True (b) False
  26. 26.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) test on many groups (d) ask different people
  27. 27.True or false: “use one group only” adds to bias. (a) True (b) False
  28. 28.True or false: “add more of the same” adds to bias. (a) True (b) False
  29. 29.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  30. 30.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  32. 32.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  33. 33.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  34. 34.True or false: “skip testing” adds to bias. (a) False (b) True
  35. 35.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  36. 36.True or false: “skip testing” helps reduce bias. (a) False (b) True
  37. 37.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) check who is missing (d) test on one group only
  38. 38.Which of these adds to bias? (a) skip testing (b) fix wrong labels (c) add varied examples (d) ask different people
  39. 39.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) copy old unfair choices (d) skip testing
  40. 40.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) ignore complaints (d) add more of the same

Answer key

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

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