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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 485 · 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: add more of the same? (a) reduces bias (b) adds to bias
  2. 2.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  3. 3.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
  4. 4.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) balance the data (d) use one group only
  5. 5.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  6. 6.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  7. 7.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  8. 8.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) test on one group only (d) balance the data
  9. 9.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
  11. 11.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  12. 12.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  13. 13.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  14. 14.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  15. 15.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  16. 16.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) test on many groups (d) add varied examples
  17. 17.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) check who is missing (d) test on one group only
  18. 18.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) ignore complaints (d) test on one group only
  19. 19.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  20. 20.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) add more of the same (d) fix wrong labels
  22. 22.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) skip testing (d) balance the data
  23. 23.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) balance the data (d) copy old unfair choices
  24. 24.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) copy old unfair choices (d) add more of the same
  25. 25.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) add varied examples (d) use one group only
  26. 26.Which of these helps reduce bias? (a) test on many groups (b) use one group only (c) add more of the same (d) ignore complaints
  27. 27.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  28. 28.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  29. 29.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) skip testing (d) test on one group only
  31. 31.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  32. 32.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  33. 33.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  34. 34.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  35. 35.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
  36. 36.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
  38. 38.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) ask different people (d) skip testing
  39. 39.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  40. 40.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False

Answer key

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

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