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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 53 · 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 balanced data (fairer for everyone). (a) False (b) True
  2. 2.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) skip testing (d) check who is missing
  3. 3.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  4. 4.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  5. 5.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  6. 6.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  7. 7.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) ask different people (d) add varied examples
  8. 8.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  9. 9.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  10. 10.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  11. 11.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) balance the data (d) ask different people
  12. 12.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
  13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
  14. 14.True or false: “ask different people” adds to bias. (a) False (b) True
  15. 15.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  16. 16.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) copy old unfair choices (d) ignore complaints
  17. 17.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  18. 18.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) ask different people (d) ignore complaints
  19. 19.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  21. 21.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) fix wrong labels (d) use one group only
  22. 22.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) ask different people (d) ignore complaints
  23. 23.True or false: “test on many groups” adds to bias. (a) False (b) True
  24. 24.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  25. 25.True or false: “balance the data” adds to bias. (a) False (b) True
  26. 26.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  27. 27.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
  28. 28.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  29. 29.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  30. 30.True or false: “use one group only” helps reduce bias. (a) False (b) True
  31. 31.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  32. 32.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  33. 33.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  34. 34.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  35. 35.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
  36. 36.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  37. 37.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
  38. 38.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) test on one group only (d) copy old unfair choices
  40. 40.True or false: “add more of the same” helps reduce bias. (a) False (b) True

Answer key

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

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