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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 88 · 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: “fix wrong labels” helps reduce bias. (a) True (b) False
  2. 2.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  3. 3.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  4. 4.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  5. 5.True or false: “add varied examples” adds to bias. (a) False (b) True
  6. 6.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) balance the data (d) skip testing
  7. 7.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) check who is missing (d) use one group only
  8. 8.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  9. 9.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
  11. 11.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
  12. 12.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  13. 13.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) copy old unfair choices (d) add varied examples
  14. 14.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  15. 15.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) add varied examples (d) ignore complaints
  16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  17. 17.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  18. 18.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  19. 19.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  20. 20.True or false: “balance the data” helps reduce bias. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) test on one group only (d) add more of the same
  22. 22.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) test on one group only (d) add more of the same
  23. 23.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  24. 24.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  25. 25.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  26. 26.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  27. 27.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ask different people (d) use one group only
  28. 28.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  30. 30.True or false: “balance the data” adds to bias. (a) False (b) True
  31. 31.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  32. 32.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  33. 33.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  34. 34.True or false: “check who is missing” adds to bias. (a) True (b) False
  35. 35.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  36. 36.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
  37. 37.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) add varied examples (d) fix wrong labels
  38. 38.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) balance the data (d) use one group only
  39. 39.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  40. 40.True or false: “add more of the same” adds to bias. (a) False (b) True

Answer key

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

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