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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 253 · 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.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
  2. 2.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  3. 3.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
  4. 4.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  5. 5.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  6. 6.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
  8. 8.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) ask different people (d) test on one group only
  9. 9.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  10. 10.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) use one group only (d) copy old unfair choices
  11. 11.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
  12. 12.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) ask different people (d) test on one group only
  13. 13.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  14. 14.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  15. 15.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  16. 16.True or false: “test on many groups” adds to bias. (a) False (b) True
  17. 17.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  18. 18.True or false: “test on one group only” adds to bias. (a) False (b) True
  19. 19.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  20. 20.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) add varied examples (d) use one group only
  21. 21.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) copy old unfair choices (d) test on many groups
  22. 22.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) fix wrong labels (d) test on one group only
  23. 23.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  24. 24.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  25. 25.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  26. 26.🖼️ 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
  27. 27.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  28. 28.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  29. 29.True or false: “use one group only” adds to bias. (a) False (b) True
  30. 30.True or false: leaves from every season of the year is balanced data (fairer for everyone). (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: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  33. 33.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ask different people (d) add more of the same
  34. 34.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) test on one group only (d) balance the data
  35. 35.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  36. 36.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) ask different people (d) add varied examples
  37. 37.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  38. 38.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  39. 39.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  40. 40.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) test on many groups (d) ignore complaints

Answer key

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

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