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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 534 · 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.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  2. 2.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  3. 3.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  4. 4.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  5. 5.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  6. 6.🗣️ 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
  7. 7.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  8. 8.Which of these helps reduce bias? (a) check who is missing (b) copy old unfair choices (c) add more of the same (d) test on one group only
  9. 9.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  10. 10.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) use one group only (d) skip testing
  11. 11.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
  13. 13.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  14. 14.True or false: “balance the data” helps reduce bias. (a) True (b) False
  15. 15.True or false: “balance the data” adds to bias. (a) False (b) True
  16. 16.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  17. 17.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) use one group only (d) test on many groups
  18. 18.True or false: “test on many groups” adds to bias. (a) False (b) True
  19. 19.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  20. 20.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  21. 21.True or false: “add varied examples” adds to bias. (a) True (b) False
  22. 22.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  23. 23.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  24. 24.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) test on many groups (d) use one group only
  25. 25.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  26. 26.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  27. 27.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  28. 28.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) balance the data (d) ignore complaints
  29. 29.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  30. 30.True or false: “skip testing” adds to bias. (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) check who is missing (d) copy old unfair choices
  32. 32.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) fix wrong labels (d) copy old unfair choices
  33. 33.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  34. 34.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  35. 35.True or false: “check who is missing” adds to bias. (a) False (b) True
  36. 36.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) test on one group only (d) copy old unfair choices
  37. 37.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  38. 38.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  39. 39.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  40. 40.True or false: “ask different people” helps reduce bias. (a) True (b) False

Answer key

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

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