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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 603 · 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: test on one group only? (a) adds to bias (b) reduces bias
  2. 2.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  3. 3.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
  4. 4.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  5. 5.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  6. 6.True or false: “test on many groups” adds to bias. (a) True (b) False
  7. 7.True or false: “add more of the same” adds to bias. (a) True (b) False
  8. 8.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  9. 9.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  10. 10.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
  11. 11.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  12. 12.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) test on one group only (d) skip testing
  13. 13.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  14. 14.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  15. 15.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  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) fix wrong labels (b) add more of the same (c) check who is missing (d) add varied examples
  18. 18.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) test on one group only (d) add varied examples
  19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
  20. 20.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on many groups (d) skip testing
  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: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  23. 23.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  25. 25.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  26. 26.True or false: “add varied examples” adds to bias. (a) True (b) False
  27. 27.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) check who is missing (d) ignore complaints
  28. 28.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) use one group only (d) add more of the same
  29. 29.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  30. 30.🖼️ 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
  31. 31.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  32. 32.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) balance the data (d) skip testing
  33. 33.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) add varied examples (d) use one group only
  34. 34.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) ignore complaints (d) test on many groups
  35. 35.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  36. 36.True or false: “skip testing” adds to bias. (a) True (b) False
  37. 37.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  38. 38.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  39. 39.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) ignore complaints (d) balance the data
  40. 40.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data

Answer key

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

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