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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 317 · 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.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) balance the data (d) test on many groups
  2. 2.Which of these adds to bias? (a) balance the data (b) add varied examples (c) add more of the same (d) test on many groups
  3. 3.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on many groups (d) ignore complaints
  4. 4.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  5. 5.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) add varied examples (d) skip testing
  6. 6.🖼️ 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
  7. 7.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) test on one group only (d) use one group only
  8. 8.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) add more of the same (d) use one group only
  9. 9.True or false: “check who is missing” adds to bias. (a) False (b) True
  10. 10.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
  11. 11.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) add varied examples
  12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  13. 13.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  14. 14.True or false: “ask different people” adds to bias. (a) True (b) False
  15. 15.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  16. 16.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  17. 17.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  18. 18.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  19. 19.🔍 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
  20. 20.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  21. 21.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  22. 22.Which of these adds to bias? (a) skip testing (b) test on many groups (c) balance the data (d) fix wrong labels
  23. 23.True or false: “test on many groups” adds to bias. (a) False (b) True
  24. 24.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  25. 25.🗣️ 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) few child voices in data (d) the phone was new
  26. 26.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  27. 27.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  28. 28.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  29. 29.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  30. 30.True or false: “skip testing” helps reduce bias. (a) True (b) False
  31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  32. 32.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  33. 33.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  34. 34.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  35. 35.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  36. 36.True or false: “balance the data” adds to bias. (a) True (b) False
  37. 37.True or false: “add varied examples” adds to bias. (a) False (b) True
  38. 38.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  39. 39.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  40. 40.True or false: “test on one group only” adds to bias. (a) False (b) True

Answer key

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

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