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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 328 · 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: ask different people? (a) adds to bias (b) reduces bias
  2. 2.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  3. 3.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  4. 4.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) test on many groups (d) balance the data
  5. 5.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  6. 6.Which of these adds to bias? (a) add more of the same (b) test on many groups (c) ask different people (d) balance the data
  7. 7.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  8. 8.Which of these adds to bias? (a) use one group only (b) fix wrong labels (c) test on many groups (d) add varied examples
  9. 9.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  10. 10.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  11. 11.True or false: “balance the data” adds to bias. (a) True (b) False
  12. 12.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
  13. 13.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  14. 14.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
  15. 15.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  16. 16.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) fix wrong labels (d) copy old unfair choices
  17. 17.Which of these helps reduce bias? (a) use one group only (b) check who is missing (c) test on one group only (d) add more of the same
  18. 18.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
  20. 20.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) add varied examples (d) check who is missing
  21. 21.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) test on many groups (d) add more of the same
  22. 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  23. 23.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  24. 24.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) check who is missing (d) test on one group only
  25. 25.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) test on one group only (d) use one group only
  26. 26.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  27. 27.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  28. 28.True or false: “test on many groups” adds to bias. (a) True (b) False
  29. 29.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) use one group only (d) fix wrong labels
  30. 30.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) balance the data (d) skip testing
  32. 32.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  33. 33.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) ask different people (d) skip testing
  34. 34.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  35. 35.True or false: “check who is missing” adds to bias. (a) True (b) False
  36. 36.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
  37. 37.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  38. 38.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  39. 39.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) check who is missing (d) ask different people

Answer key

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

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