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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 383 · 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.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  2. 2.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) ask different people (d) check who is missing
  3. 3.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  4. 4.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  5. 5.True or false: “use one group only” helps reduce bias. (a) True (b) False
  6. 6.True or false: “ignore complaints” adds to bias. (a) True (b) False
  7. 7.Which of these adds to bias? (a) copy old unfair choices (b) balance the data (c) check who is missing (d) ask different people
  8. 8.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  9. 9.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  10. 10.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  11. 11.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  12. 12.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  13. 13.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  14. 14.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  15. 15.Which of these helps reduce bias? (a) ask different people (b) use one group only (c) skip testing (d) test on one group only
  16. 16.Which of these adds to bias? (a) use one group only (b) test on many groups (c) fix wrong labels (d) add varied examples
  17. 17.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  18. 18.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  19. 19.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  20. 20.True or false: “use one group only” adds to bias. (a) False (b) True
  21. 21.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  22. 22.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  23. 23.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
  24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  25. 25.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) copy old unfair choices (d) balance the data
  26. 26.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
  27. 27.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) test on one group only (d) add varied examples
  28. 28.True or false: “ask different people” adds to bias. (a) True (b) False
  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: “skip testing” adds to bias. (a) False (b) True
  31. 31.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  32. 32.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  33. 33.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  34. 34.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  35. 35.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  36. 36.True or false: “check who is missing” adds to bias. (a) False (b) True
  37. 37.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) test on many groups (d) copy old unfair choices
  38. 38.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
  39. 39.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  40. 40.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False

Answer key

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

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