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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 224 · 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.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  2. 2.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) skip testing (d) ask different people
  3. 3.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  4. 4.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  5. 5.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  6. 6.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  7. 7.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  8. 8.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  10. 10.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
  11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
  12. 12.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  13. 13.True or false: “use one group only” adds to bias. (a) False (b) True
  14. 14.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  15. 15.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  16. 16.Which of these adds to bias? (a) balance the data (b) ask different people (c) check who is missing (d) ignore complaints
  17. 17.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) skip testing (d) copy old unfair choices
  18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
  19. 19.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  20. 20.True or false: “test on many groups” adds to bias. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) ignore complaints (d) fix wrong labels
  22. 22.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  23. 23.True or false: “ask different people” adds to bias. (a) True (b) False
  24. 24.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  25. 25.True or false: “use one group only” helps reduce bias. (a) False (b) True
  26. 26.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  27. 27.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  28. 28.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
  29. 29.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) check who is missing (d) test on one group only
  30. 30.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  31. 31.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) ask different people (d) fix wrong labels
  32. 32.True or false: “add more of the same” adds to bias. (a) False (b) True
  33. 33.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  34. 34.True or false: “ask different people” helps reduce bias. (a) False (b) True
  35. 35.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) add more of the same (d) check who is missing
  36. 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  37. 37.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  38. 38.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) balance the data (d) use one group only
  40. 40.Which of these adds to bias? (a) test on many groups (b) ask different people (c) add more of the same (d) check who is missing

Answer key

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

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