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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 450 · 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: “balance the data” adds to bias. (a) False (b) True
  2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  3. 3.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) add more of the same (d) check who is missing
  4. 4.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
  5. 5.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  6. 6.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  7. 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
  9. 9.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  10. 10.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) balance the data (d) add varied examples
  11. 11.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  12. 12.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  13. 13.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  14. 14.True or false: “test on one group only” adds to bias. (a) False (b) True
  15. 15.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) copy old unfair choices (d) fix wrong labels
  16. 16.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  17. 17.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) ignore complaints (d) skip testing
  18. 18.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  19. 19.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) add more of the same (d) ask different people
  20. 20.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) use one group only (d) skip testing
  21. 21.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) use one group only (d) copy old unfair choices
  22. 22.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) add varied examples (d) test on one group only
  23. 23.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  24. 24.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  25. 25.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  26. 26.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  27. 27.True or false: “add varied examples” adds to bias. (a) True (b) False
  28. 28.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
  29. 29.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) balance the data (b) ignore complaints (c) test on many groups (d) fix wrong labels
  31. 31.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) test on many groups (d) ask different people
  32. 32.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  33. 33.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  34. 34.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  35. 35.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  36. 36.Which of these helps reduce bias? (a) test on many groups (b) test on one group only (c) skip testing (d) add more of the same
  37. 37.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) copy old unfair choices (d) fix wrong labels
  38. 38.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  39. 39.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  40. 40.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

Answer key

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

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