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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 168 · 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 is the odd one out? (a) fix wrong labels (b) ignore complaints (c) balance the data (d) add varied examples
  2. 2.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
  3. 3.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) test on one group only (d) test on many groups
  4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) test on one group only (d) skip testing
  5. 5.Which of these adds to bias? (a) balance the data (b) add varied examples (c) ask different people (d) ignore complaints
  6. 6.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  7. 7.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  8. 8.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
  10. 10.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  11. 11.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) fix wrong labels (d) check who is missing
  12. 12.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
  14. 14.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) check who is missing (d) test on many groups
  15. 15.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) add more of the same (d) skip testing
  16. 16.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  17. 17.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  18. 18.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  19. 19.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  20. 20.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  21. 21.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  22. 22.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  23. 23.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  24. 24.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  25. 25.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) add more of the same
  26. 26.True or false: “skip testing” adds to bias. (a) True (b) False
  27. 27.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  28. 28.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) use one group only (d) test on one group only
  29. 29.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  30. 30.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  31. 31.True or false: “ask different people” adds to bias. (a) False (b) True
  32. 32.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  33. 33.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) check who is missing (d) fix wrong labels
  34. 34.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
  35. 35.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  36. 36.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) ignore complaints (d) add more of the same
  37. 37.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  38. 38.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) add more of the same (d) balance the data
  39. 39.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  40. 40.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data

Answer key

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

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