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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 780 · 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.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) skip testing (d) fix wrong labels
  2. 2.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  3. 3.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  4. 4.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  5. 5.Which of these helps reduce bias? (a) ignore complaints (b) test on many groups (c) copy old unfair choices (d) use one group only
  6. 6.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) ask different people (d) use one group only
  7. 7.True or false: “add varied examples” adds to bias. (a) True (b) False
  8. 8.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
  10. 10.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
  11. 11.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  12. 12.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  13. 13.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) skip testing (d) test on one group only
  14. 14.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  15. 15.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  16. 16.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  17. 17.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  18. 18.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) copy old unfair choices (d) ignore complaints
  19. 19.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) ignore complaints (d) ask different people
  20. 20.🗣️ 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
  21. 21.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) test on one group only (d) add varied examples
  23. 23.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  24. 24.True or false: “skip testing” helps reduce bias. (a) True (b) False
  25. 25.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  26. 26.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  27. 27.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  28. 28.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) check who is missing (d) copy old unfair choices
  29. 29.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  30. 30.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  31. 31.True or false: “add more of the same” adds to bias. (a) True (b) False
  32. 32.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  33. 33.Which of these adds to bias? (a) test on one group only (b) check who is missing (c) balance the data (d) ask different people
  34. 34.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) test on one group only (d) skip testing
  35. 35.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) balance the data (d) add more of the same
  36. 36.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  38. 38.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) copy old unfair choices (d) test on one group only
  39. 39.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  40. 40.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) balance the data (d) skip testing

Answer key

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

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