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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 900 · 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 is the odd one out? (a) add more of the same (b) skip testing (c) copy old unfair choices (d) balance the data
  2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) the phone was new (d) it was a rainy day
  3. 3.True or false: “test on many groups” adds to bias. (a) True (b) False
  4. 4.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) skip testing (d) add more of the same
  5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
  6. 6.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  7. 7.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) use one group only (d) skip testing
  8. 8.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  9. 9.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) test on many groups (d) balance the data
  10. 10.Which of these adds to bias? (a) test on many groups (b) use one group only (c) balance the data (d) check who is missing
  11. 11.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  12. 12.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  13. 13.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  14. 14.Which of these adds to bias? (a) ask different people (b) test on many groups (c) fix wrong labels (d) copy old unfair choices
  15. 15.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  17. 17.Which of these helps reduce bias? (a) use one group only (b) check who is missing (c) copy old unfair choices (d) add more of the same
  18. 18.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  19. 19.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  20. 20.True or false: “use one group only” adds to bias. (a) True (b) False
  21. 21.True or false: “ask different people” adds to bias. (a) True (b) False
  22. 22.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) use one group only (d) test on many groups
  23. 23.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  24. 24.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  25. 25.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) check who is missing (d) ignore complaints
  26. 26.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  27. 27.True or false: “balance the data” helps reduce bias. (a) False (b) True
  28. 28.True or false: “ask different people” helps reduce bias. (a) False (b) True
  29. 29.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  30. 30.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
  31. 31.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) add varied examples (d) add more of the same
  32. 32.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  33. 33.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  34. 34.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  36. 36.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  37. 37.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
  38. 38.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  39. 39.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  40. 40.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) ask different people (d) fix wrong labels

Answer key

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

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