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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 432 · 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.Which of these helps reduce bias? (a) ignore complaints (b) fix wrong labels (c) use one group only (d) copy old unfair choices
  2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
  4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) skip testing (d) test on one group only
  5. 5.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) use one group only (d) test on many groups
  6. 6.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
  7. 7.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) ask different people (d) copy old unfair choices
  8. 8.True or false: “skip testing” adds to bias. (a) True (b) False
  9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
  10. 10.True or false: “balance the data” helps reduce bias. (a) True (b) False
  11. 11.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) check who is missing
  12. 12.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) test on many groups (d) balance the data
  13. 13.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  14. 14.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
  15. 15.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  16. 16.Which of these adds to bias? (a) ask different people (b) ignore complaints (c) fix wrong labels (d) check who is missing
  17. 17.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) balance the data (d) fix wrong labels
  18. 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  19. 19.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) ask different people (d) test on many groups
  20. 20.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) balance the data (d) test on one group only
  21. 21.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  22. 22.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  23. 23.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  24. 24.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  25. 25.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  26. 26.True or false: “check who is missing” adds to bias. (a) False (b) True
  27. 27.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  28. 28.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  31. 31.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  32. 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  33. 33.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  34. 34.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  35. 35.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  36. 36.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) test on one group only (d) ask different people
  37. 37.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) copy old unfair choices (d) use one group only
  38. 38.True or false: “use one group only” helps reduce bias. (a) True (b) False
  39. 39.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  40. 40.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True

Answer key

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

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