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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 856 · 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) reduces bias (b) adds to bias
  2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  3. 3.True or false: “test on many groups” adds to bias. (a) False (b) True
  4. 4.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  5. 5.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  6. 6.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) copy old unfair choices (d) check who is missing
  7. 7.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  8. 8.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  9. 9.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  10. 10.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  11. 11.True or false: “test on one group only” adds to bias. (a) True (b) False
  12. 12.True or false: “skip testing” helps reduce bias. (a) False (b) True
  13. 13.Which of these helps reduce bias? (a) add more of the same (b) fix wrong labels (c) use one group only (d) test on one group only
  14. 14.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  15. 15.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  16. 16.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) copy old unfair choices (d) skip testing
  17. 17.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) fix wrong labels (d) balance the data
  18. 18.True or false: “ask different people” adds to bias. (a) True (b) False
  19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
  20. 20.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  21. 21.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  22. 22.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  23. 23.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  24. 24.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) add more of the same (d) copy old unfair choices
  25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  26. 26.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
  27. 27.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
  28. 28.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  29. 29.True or false: “add more of the same” adds to bias. (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) check who is missing (d) use one group only
  31. 31.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) check who is missing (d) use one group only
  32. 32.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) check who is missing (d) add varied examples
  33. 33.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  34. 34.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
  35. 35.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) test on one group only (d) test on many groups
  36. 36.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) test on many groups (d) copy old unfair choices
  37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  38. 38.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
  39. 39.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  40. 40.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True

Answer key

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

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