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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 68 · 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.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  2. 2.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) test on one group only (d) skip testing
  3. 3.Which of these adds to bias? (a) add varied examples (b) balance the data (c) fix wrong labels (d) add more of the same
  4. 4.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) skip testing (d) balance the data
  5. 5.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  7. 7.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  8. 8.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  9. 9.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  10. 10.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
  11. 11.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) test on many groups (d) check who is missing
  12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
  13. 13.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) ignore complaints (d) use one group only
  14. 14.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) skip testing (d) ask different people
  15. 15.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) check who is missing (d) copy old unfair choices
  16. 16.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  17. 17.True or false: “balance the data” adds to bias. (a) True (b) False
  18. 18.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  19. 19.Which of these adds to bias? (a) ignore complaints (b) ask different people (c) check who is missing (d) balance the data
  20. 20.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
  23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  24. 24.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  25. 25.True or false: “test on one group only” adds to bias. (a) True (b) False
  26. 26.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  27. 27.Which of these helps reduce bias? (a) add varied examples (b) skip testing (c) add more of the same (d) test on one group only
  28. 28.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) copy old unfair choices (d) check who is missing
  30. 30.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  31. 31.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  32. 32.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  33. 33.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  34. 34.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  35. 35.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
  36. 36.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) balance the data
  37. 37.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  38. 38.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  39. 39.Which of these adds to bias? (a) copy old unfair choices (b) check who is missing (c) add varied examples (d) fix wrong labels
  40. 40.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True

Answer key

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

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