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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 853 · 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.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  2. 2.True or false: “use one group only” adds to bias. (a) False (b) True
  3. 3.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  4. 4.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  5. 5.True or false: “add varied examples” adds to bias. (a) False (b) True
  6. 6.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  7. 7.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  8. 8.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  9. 9.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) balance the data (d) test on one group only
  10. 10.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  11. 11.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  12. 12.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  13. 13.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
  14. 14.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) the phone was new (d) it was a rainy day
  15. 15.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  16. 16.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  17. 17.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  19. 19.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  20. 20.Which of these adds to bias? (a) add varied examples (b) ignore complaints (c) test on many groups (d) ask different people
  21. 21.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  22. 22.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  23. 23.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) test on one group only (d) ignore complaints
  24. 24.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  25. 25.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  26. 26.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  27. 27.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  28. 28.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
  29. 29.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  30. 30.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) balance the data (d) use one group only
  31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  32. 32.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) ask different people (d) test on many groups
  33. 33.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) test on one group only (d) skip testing
  34. 34.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  35. 35.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) ask different people (d) use one group only
  36. 36.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  37. 37.True or false: “skip testing” adds to bias. (a) True (b) False
  38. 38.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  39. 39.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  40. 40.Which of these helps reduce bias? (a) test on many groups (b) ignore complaints (c) test on one group only (d) copy old unfair choices

Answer key

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

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