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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 953 · 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” helps reduce bias. (a) False (b) True
  2. 2.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  3. 3.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  4. 4.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  5. 5.Which of these helps reduce bias? (a) test on many groups (b) skip testing (c) use one group only (d) test on one group only
  6. 6.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  7. 7.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) test on many groups
  8. 8.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  9. 9.True or false: “use one group only” helps reduce bias. (a) True (b) False
  10. 10.True or false: “ignore complaints” adds to bias. (a) True (b) False
  11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  12. 12.Which of these adds to bias? (a) ask different people (b) test on many groups (c) fix wrong labels (d) copy old unfair choices
  13. 13.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) check who is missing (d) skip testing
  14. 14.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  15. 15.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  17. 17.Which of these adds to bias? (a) use one group only (b) test on many groups (c) add varied examples (d) check who is missing
  18. 18.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) copy old unfair choices (d) fix wrong labels
  19. 19.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  20. 20.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  21. 21.True or false: “add more of the same” adds to bias. (a) False (b) True
  22. 22.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) ignore complaints (d) add more of the same
  23. 23.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  24. 24.🖼️ 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
  25. 25.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  26. 26.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
  27. 27.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) add more of the same (d) ignore complaints
  28. 28.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) ignore complaints (d) add varied examples
  29. 29.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) ask different people (d) ignore complaints
  30. 30.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  31. 31.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  32. 32.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  33. 33.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  34. 34.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  35. 35.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) balance the data (d) fix wrong labels
  36. 36.Which of these adds to bias? (a) ask different people (b) check who is missing (c) balance the data (d) add more of the same
  37. 37.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) balance the data (d) copy old unfair choices
  38. 38.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  39. 39.True or false: “check who is missing” adds to bias. (a) True (b) False
  40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False

Answer key

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

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