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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 115 · 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) True (b) False
  2. 2.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  3. 3.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) check who is missing (d) fix wrong labels
  5. 5.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
  6. 6.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  7. 7.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  8. 8.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) fix wrong labels (d) use one group only
  10. 10.True or false: “test on one group only” adds to bias. (a) True (b) False
  11. 11.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  12. 12.Which of these adds to bias? (a) add varied examples (b) balance the data (c) fix wrong labels (d) copy old unfair choices
  13. 13.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) add more of the same (d) ignore complaints
  14. 14.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  16. 16.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) skip testing (d) ignore complaints
  17. 17.🛠️ Does this reduce bias or add to it: add more of the same? (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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
  20. 20.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ask different people (d) skip testing
  21. 21.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  22. 22.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) balance the data (d) add varied examples
  23. 23.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) add varied examples (d) ask different people
  24. 24.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
  25. 25.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  26. 26.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  27. 27.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  28. 28.True or false: “test on many groups” adds to bias. (a) False (b) True
  29. 29.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) add varied examples
  30. 30.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  31. 31.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  32. 32.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  33. 33.Which of these adds to bias? (a) ignore complaints (b) fix wrong labels (c) add varied examples (d) check who is missing
  34. 34.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  36. 36.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  37. 37.True or false: “add more of the same” adds to bias. (a) False (b) True
  38. 38.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  39. 39.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  40. 40.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False

Answer key

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

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