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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 903 · 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) reduces bias (b) adds to bias
  2. 2.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) add more of the same (d) test on many groups
  3. 3.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) balance the data (d) ignore complaints
  4. 4.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  5. 5.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  6. 6.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
  7. 7.True or false: “skip testing” helps reduce bias. (a) True (b) False
  8. 8.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  9. 9.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  10. 10.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  11. 11.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
  13. 13.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  14. 14.Which of these adds to bias? (a) balance the data (b) add varied examples (c) test on many groups (d) use one group only
  15. 15.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  16. 16.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  17. 17.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  18. 18.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  19. 19.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  20. 20.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  21. 21.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) skip testing (d) copy old unfair choices
  22. 22.True or false: “test on one group only” adds to bias. (a) False (b) True
  23. 23.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  25. 25.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  26. 26.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) use one group only (d) test on many groups
  27. 27.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  28. 28.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) add varied examples (d) check who is missing
  29. 29.🔍 Which is the odd one out? (a) balance the data (b) ignore complaints (c) ask different people (d) check who is missing
  30. 30.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  31. 31.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  32. 32.True or false: “check who is missing” adds to bias. (a) False (b) True
  33. 33.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  34. 34.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  35. 35.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) ask different people (d) skip testing
  36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
  37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  38. 38.True or false: “use one group only” helps reduce bias. (a) True (b) False
  39. 39.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  40. 40.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias

Answer key

  1. adds to bias
  2. add more of the same
  3. balance the data
  4. its training data
  5. one-sided data
  6. True
  7. False
  8. reduces bias
  9. True
  10. reduces bias
  11. balanced data
  12. bias from data
  13. balanced data
  14. use one group only
  15. reduces bias
  16. False
  17. adds to bias
  18. True
  19. reduces bias
  20. reduces bias
  21. ask different people
  22. True
  23. True
  24. balanced data
  25. one-sided data
  26. use one group only
  27. False
  28. skip testing
  29. ignore complaints
  30. False
  31. adds to bias
  32. False
  33. True
  34. one-sided data
  35. skip testing
  36. few child voices in data
  37. one-sided data
  38. False
  39. one-sided data
  40. adds to bias

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