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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 496 · 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.Which of these adds to bias? (a) add more of the same (b) check who is missing (c) add varied examples (d) ask different people
  3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
  4. 4.Which of these adds to bias? (a) fix wrong labels (b) skip testing (c) check who is missing (d) balance the data
  5. 5.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  6. 6.True or false: “ask different people” helps reduce bias. (a) True (b) False
  7. 7.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  8. 8.Which of these adds to bias? (a) use one group only (b) fix wrong labels (c) balance the data (d) check who is missing
  9. 9.Which of these helps reduce bias? (a) use one group only (b) check who is missing (c) copy old unfair choices (d) skip testing
  10. 10.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  11. 11.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) use one group only (d) test on one group only
  12. 12.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  13. 13.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  15. 15.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  16. 16.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  17. 17.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  18. 18.True or false: “balance the data” adds to bias. (a) False (b) True
  19. 19.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) balance the data (d) skip testing
  20. 20.True or false: “ignore complaints” adds to bias. (a) False (b) True
  21. 21.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  22. 22.True or false: “use one group only” helps reduce bias. (a) True (b) False
  23. 23.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  24. 24.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
  25. 25.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  26. 26.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  27. 27.True or false: “test on many groups” adds to bias. (a) True (b) False
  28. 28.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  29. 29.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
  30. 30.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) fix wrong labels (d) ignore complaints
  31. 31.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  32. 32.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  33. 33.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  34. 34.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  35. 35.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  36. 36.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) fix wrong labels (d) add more of the same
  37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  38. 38.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  39. 39.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  40. 40.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) ask different people (d) add more of the same

Answer key

  1. balanced data
  2. add more of the same
  3. bias from data
  4. skip testing
  5. one-sided data
  6. True
  7. True
  8. use one group only
  9. check who is missing
  10. one-sided data
  11. check who is missing
  12. adds to bias
  13. True
  14. one-sided data
  15. reduces bias
  16. reduces bias
  17. one-sided data
  18. False
  19. skip testing
  20. True
  21. True
  22. False
  23. True
  24. more varied data
  25. one-sided data
  26. False
  27. False
  28. False
  29. True
  30. ignore complaints
  31. balanced data
  32. adds to bias
  33. False
  34. False
  35. True
  36. fix wrong labels
  37. False
  38. adds to bias
  39. True
  40. ask different people

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