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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 676 · 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.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
  2. 2.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  3. 3.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) ignore complaints (d) test on one group only
  4. 4.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  5. 5.True or false: “check who is missing” adds to bias. (a) False (b) True
  6. 6.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  7. 7.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  8. 8.Which of these helps reduce bias? (a) balance the data (b) use one group only (c) ignore complaints (d) copy old unfair choices
  9. 9.Which of these adds to bias? (a) fix wrong labels (b) skip testing (c) ask different people (d) balance the data
  10. 10.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  11. 11.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
  12. 12.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  13. 13.Which of these helps reduce bias? (a) ask different people (b) test on one group only (c) ignore complaints (d) use one group only
  14. 14.Which of these helps reduce bias? (a) check who is missing (b) copy old unfair choices (c) use one group only (d) add more of the same
  15. 15.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  16. 16.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  17. 17.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  18. 18.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) use one group only (d) add varied examples
  19. 19.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  20. 20.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  21. 21.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  22. 22.True or false: “ask different people” adds to bias. (a) True (b) False
  23. 23.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  25. 25.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  26. 26.Which of these adds to bias? (a) test on many groups (b) ask different people (c) check who is missing (d) test on one group only
  27. 27.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  28. 28.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) add more of the same (d) check who is missing
  29. 29.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) copy old unfair choices (d) add varied examples
  30. 30.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  32. 32.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) use one group only (d) balance the data
  33. 33.🖼️ 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
  34. 34.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on one group only (d) ask different people
  35. 35.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) add more of the same (d) test on many groups
  36. 36.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  37. 37.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  38. 38.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  39. 39.True or false: “ask different people” helps reduce bias. (a) True (b) False
  40. 40.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) skip testing (d) check who is missing

Answer key

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

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