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AI Bias Worksheet for Kids

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

Answer key

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

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