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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 463 · 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: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  2. 2.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  3. 3.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  4. 4.True or false: “ask different people” adds to bias. (a) True (b) False
  5. 5.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) test on many groups (d) fix wrong labels
  6. 6.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  7. 7.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) ask different people (d) add more of the same
  8. 8.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  9. 9.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
  10. 10.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
  11. 11.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) ask different people (d) add varied examples
  12. 12.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  13. 13.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  14. 14.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) fix wrong labels (d) test on many groups
  15. 15.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
  17. 17.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  18. 18.True or false: “check who is missing” adds to bias. (a) True (b) False
  19. 19.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  20. 20.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  22. 22.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  23. 23.🗣️ 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) children speak too fast (d) few child voices in data
  24. 24.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  25. 25.True or false: “ignore complaints” adds to bias. (a) True (b) False
  26. 26.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) copy old unfair choices (d) ignore complaints
  27. 27.True or false: “skip testing” adds to bias. (a) False (b) True
  28. 28.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  29. 29.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  30. 30.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) balance the data (d) copy old unfair choices
  31. 31.Which of these helps reduce bias? (a) add varied examples (b) add more of the same (c) ignore complaints (d) copy old unfair choices
  32. 32.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  33. 33.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  35. 35.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  36. 36.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) add varied examples (d) balance the data
  37. 37.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  38. 38.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  39. 39.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  40. 40.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias

Answer key

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

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