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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 638 · 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) use one group only (b) check who is missing (c) fix wrong labels (d) balance the data
  2. 2.True or false: “skip testing” helps reduce bias. (a) False (b) True
  3. 3.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
  4. 4.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) add more of the same (d) check who is missing
  5. 5.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  6. 6.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  7. 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  8. 8.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) skip testing (d) balance the data
  9. 9.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) ignore complaints (d) test on many groups
  10. 10.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) ask different people (d) use one group only
  11. 11.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) check who is missing (d) test on many groups
  12. 12.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) ignore complaints (d) use one group only
  13. 13.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  14. 14.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  15. 15.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  16. 16.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
  17. 17.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) add varied examples
  18. 18.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
  19. 19.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  20. 20.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  21. 21.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  22. 22.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  23. 23.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  24. 24.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) ignore complaints (d) fix wrong labels
  25. 25.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) copy old unfair choices (d) test on one group only
  26. 26.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  27. 27.Which of these helps reduce bias? (a) add more of the same (b) fix wrong labels (c) copy old unfair choices (d) use one group only
  28. 28.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  29. 29.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  30. 30.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) ask different people (d) ignore complaints
  31. 31.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  32. 32.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  33. 33.True or false: “test on many groups” adds to bias. (a) False (b) True
  34. 34.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) add more of the same (d) use one group only
  35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) balance the data (d) ignore complaints
  36. 36.True or false: “use one group only” helps reduce bias. (a) False (b) True
  37. 37.True or false: “check who is missing” adds to bias. (a) True (b) False
  38. 38.True or false: “add more of the same” adds to bias. (a) True (b) False
  39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  40. 40.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data

Answer key

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

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