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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 884 · 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.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  2. 2.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  3. 3.Which of these adds to bias? (a) fix wrong labels (b) ignore complaints (c) test on many groups (d) ask different people
  4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  6. 6.Which of these adds to bias? (a) add varied examples (b) balance the data (c) use one group only (d) test on many groups
  7. 7.Which of these adds to bias? (a) add more of the same (b) balance the data (c) add varied examples (d) ask different people
  8. 8.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  9. 9.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
  10. 10.True or false: “use one group only” adds to bias. (a) True (b) False
  11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  12. 12.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  13. 13.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  14. 14.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) skip testing (d) balance the data
  15. 15.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  17. 17.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  18. 18.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  19. 19.True or false: “check who is missing” adds to bias. (a) True (b) False
  20. 20.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) add varied examples (d) copy old unfair choices
  21. 21.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) use one group only (d) test on one group only
  22. 22.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) test on one group only (d) use one group only
  23. 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
  24. 24.True or false: “balance the data” adds to bias. (a) True (b) False
  25. 25.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  26. 26.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  27. 27.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  28. 28.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) copy old unfair choices (d) ignore complaints
  29. 29.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) skip testing (d) use one group only
  30. 30.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  31. 31.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  32. 32.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  33. 33.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) test on one group only (d) use one group only
  34. 34.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) check who is missing (d) use one group only
  35. 35.True or false: “skip testing” helps reduce bias. (a) True (b) False
  36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
  37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  38. 38.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
  39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  40. 40.True or false: “add varied examples” adds to bias. (a) True (b) False

Answer key

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

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