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AI Bias Worksheet for Kids

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

Answer key

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

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