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AI Bias Worksheet for Kids

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

Answer key

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

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