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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 835 · 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: stories with doctors of every gender? (a) balanced data (b) one-sided data
  2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
  3. 3.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  4. 4.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  5. 5.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  6. 6.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  7. 7.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  8. 8.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) copy old unfair choices (d) fix wrong labels
  9. 9.True or false: “check who is missing” adds to bias. (a) False (b) True
  10. 10.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  11. 11.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  12. 12.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) check who is missing (d) copy old unfair choices
  13. 13.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  14. 14.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  15. 15.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) use one group only (d) check who is missing
  16. 16.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) ignore complaints (d) skip testing
  17. 17.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) test on many groups (d) test on one group only
  18. 18.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
  20. 20.True or false: “test on one group only” adds to bias. (a) True (b) False
  21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  22. 22.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) skip testing (d) balance the data
  23. 23.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  24. 24.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) skip testing (d) add varied examples
  25. 25.True or false: “skip testing” helps reduce bias. (a) False (b) True
  26. 26.True or false: “use one group only” adds to bias. (a) False (b) True
  27. 27.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) add varied examples (d) balance the data
  28. 28.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  29. 29.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) check who is missing (d) copy old unfair choices
  30. 30.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) test on many groups (d) use one group only
  31. 31.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  32. 32.True or false: “balance the data” helps reduce bias. (a) True (b) False
  33. 33.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  34. 34.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  35. 35.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  36. 36.True or false: “skip testing” adds to bias. (a) True (b) False
  37. 37.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  38. 38.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  39. 39.Which of these helps reduce bias? (a) copy old unfair choices (b) add varied examples (c) use one group only (d) add more of the same
  40. 40.True or false: “add varied examples” helps reduce bias. (a) False (b) True

Answer key

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

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