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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 339 · 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.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  2. 2.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  3. 3.True or false: “use one group only” helps reduce bias. (a) False (b) True
  4. 4.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
  5. 5.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  6. 6.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  7. 7.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  8. 8.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  9. 9.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
  10. 10.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  11. 11.True or false: “ignore complaints” adds to bias. (a) False (b) True
  12. 12.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  13. 13.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) ignore complaints (d) fix wrong labels
  14. 14.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  15. 15.Which of these adds to bias? (a) ask different people (b) add varied examples (c) skip testing (d) test on many groups
  16. 16.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  17. 17.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  18. 18.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) add varied examples (d) use one group only
  19. 19.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) add more of the same (d) balance the data
  20. 20.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) fix wrong labels (d) check who is missing
  21. 21.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) balance the data (d) test on one group only
  22. 22.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) copy old unfair choices (d) use one group only
  23. 23.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) add varied examples (d) add more of the same
  24. 24.True or false: “skip testing” helps reduce bias. (a) True (b) False
  25. 25.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) ask different people (d) skip testing
  26. 26.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  27. 27.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
  28. 28.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) check who is missing (d) copy old unfair choices
  29. 29.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  30. 30.True or false: “test on one group only” adds to bias. (a) True (b) False
  31. 31.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  32. 32.True or false: “ask different people” adds to bias. (a) True (b) False
  33. 33.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  34. 34.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  35. 35.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  36. 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
  38. 38.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  39. 39.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  40. 40.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False

Answer key

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

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