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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 298 · 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: leaves from every season of the year? (a) one-sided data (b) balanced data
  2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  3. 3.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) ask different people (d) copy old unfair choices
  4. 4.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  5. 5.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  6. 6.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  7. 7.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  8. 8.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
  10. 10.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) fix wrong labels (d) balance the data
  11. 11.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  12. 12.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) check who is missing (d) fix wrong labels
  13. 13.True or false: “ask different people” adds to bias. (a) False (b) True
  14. 14.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) test on many groups (d) copy old unfair choices
  15. 15.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  16. 16.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  17. 17.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  18. 18.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) ask different people (d) test on one group only
  19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  20. 20.True or false: “test on one group only” adds to bias. (a) False (b) True
  21. 21.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  22. 22.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  23. 23.True or false: “skip testing” helps reduce bias. (a) False (b) True
  24. 24.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) test on one group only (d) check who is missing
  25. 25.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) skip testing (d) use one group only
  26. 26.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
  27. 27.True or false: “test on many groups” adds to bias. (a) True (b) False
  28. 28.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) add more of the same (d) test on one group only
  29. 29.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  31. 31.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  32. 32.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) ask different people
  33. 33.🗣️ 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
  34. 34.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  35. 35.True or false: “balance the data” adds to bias. (a) True (b) False
  36. 36.True or false: “use one group only” helps reduce bias. (a) True (b) False
  37. 37.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) test on one group only (d) balance the data
  38. 38.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  39. 39.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  40. 40.Which of these adds to bias? (a) use one group only (b) add varied examples (c) test on many groups (d) balance the data

Answer key

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

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