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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 915 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
  2. 2.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  3. 3.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) add more of the same (d) test on many groups
  4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  5. 5.True or false: “ignore complaints” adds to bias. (a) False (b) True
  6. 6.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) add varied examples (d) ignore complaints
  7. 7.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  8. 8.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  9. 9.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  10. 10.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) ignore complaints (d) test on many groups
  11. 11.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) skip testing (d) ask different people
  12. 12.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) copy old unfair choices (d) balance the data
  13. 13.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  14. 14.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  15. 15.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  16. 16.Which of these adds to bias? (a) balance the data (b) skip testing (c) add varied examples (d) test on many groups
  17. 17.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  18. 18.🗣️ 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) the phone was new (d) children speak too fast
  19. 19.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  20. 20.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  21. 21.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  22. 22.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  23. 23.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) balance the data (d) add varied examples
  24. 24.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  25. 25.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) check who is missing (d) use one group only
  26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) copy old unfair choices (d) ask different people
  27. 27.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
  28. 28.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) fix wrong labels (d) ask different people
  29. 29.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  30. 30.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  31. 31.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) copy old unfair choices (d) balance the data
  32. 32.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  33. 33.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  34. 34.True or false: “check who is missing” adds to bias. (a) True (b) False
  35. 35.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) test on one group only (d) add varied examples
  36. 36.True or false: “skip testing” helps reduce bias. (a) False (b) True
  37. 37.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  38. 38.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  39. 39.True or false: “test on many groups” adds to bias. (a) False (b) True
  40. 40.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias

Answer key

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

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