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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 260 · 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 adds to bias? (a) balance the data (b) add varied examples (c) test on many groups (d) add more of the same
  2. 2.True or false: “ask different people” adds to bias. (a) True (b) False
  3. 3.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  4. 4.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  5. 5.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) copy old unfair choices (d) ask different people
  6. 6.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  7. 7.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  8. 8.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) use one group only (d) add varied examples
  9. 9.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  10. 10.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) check who is missing (d) add more of the same
  11. 11.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  12. 12.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) test on one group only (d) test on many groups
  13. 13.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
  14. 14.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  15. 15.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  16. 16.True or false: “skip testing” adds to bias. (a) False (b) True
  17. 17.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  18. 18.🗣️ 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
  19. 19.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  20. 20.True or false: “use one group only” helps reduce bias. (a) True (b) False
  21. 21.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  22. 22.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  23. 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  24. 24.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  25. 25.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  26. 26.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  27. 27.Which of these adds to bias? (a) test on many groups (b) skip testing (c) add varied examples (d) check who is missing
  28. 28.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  29. 29.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  30. 30.Which of these helps reduce bias? (a) ask different people (b) ignore complaints (c) use one group only (d) add more of the same
  31. 31.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  32. 32.Which of these adds to bias? (a) test on one group only (b) ask different people (c) add varied examples (d) check who is missing
  33. 33.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  34. 34.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) fix wrong labels (d) test on one group only
  36. 36.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
  37. 37.True or false: “use one group only” adds to bias. (a) True (b) False
  38. 38.True or false: “add varied examples” adds to bias. (a) True (b) False
  39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  40. 40.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen

Answer key

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

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