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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 138 · 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: check who is missing? (a) adds to bias (b) reduces bias
  2. 2.True or false: “add more of the same” adds to bias. (a) False (b) True
  3. 3.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  4. 4.🖼️ 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
  5. 5.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) fix wrong labels (d) add more of the same
  6. 6.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  7. 7.True or false: “add varied examples” adds to bias. (a) False (b) True
  8. 8.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  9. 9.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  10. 10.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  11. 11.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
  12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  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: “add varied examples” helps reduce bias. (a) False (b) True
  15. 15.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) use one group only (d) add varied examples
  16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  17. 17.True or false: “use one group only” helps reduce bias. (a) True (b) False
  18. 18.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
  19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  20. 20.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  21. 21.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) add varied examples (d) skip testing
  22. 22.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  23. 23.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
  24. 24.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  25. 25.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  26. 26.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) copy old unfair choices (d) skip testing
  27. 27.True or false: “ask different people” adds to bias. (a) False (b) True
  28. 28.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  29. 29.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  30. 30.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) use one group only (d) copy old unfair choices
  31. 31.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) use one group only
  32. 32.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  33. 33.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  34. 34.Which of these adds to bias? (a) skip testing (b) ask different people (c) balance the data (d) add varied examples
  35. 35.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) copy old unfair choices (d) test on many groups
  36. 36.Which of these adds to bias? (a) test on many groups (b) ask different people (c) use one group only (d) check who is missing
  37. 37.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  38. 38.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  39. 39.Which of these adds to bias? (a) balance the data (b) add varied examples (c) ignore complaints (d) test on many groups
  40. 40.True or false: “check who is missing” helps reduce bias. (a) False (b) True

Answer key

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

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