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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 779 · 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.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  2. 2.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  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.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  5. 5.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) ask different people (d) test on one group only
  6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
  7. 7.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) copy old unfair choices (d) test on one group only
  8. 8.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  9. 9.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  10. 10.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) use one group only (d) ask different people
  11. 11.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
  12. 12.Which of these adds to bias? (a) add more of the same (b) check who is missing (c) add varied examples (d) test on many groups
  13. 13.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  14. 14.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) test on one group only (d) skip testing
  15. 15.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  16. 16.True or false: “use one group only” adds to bias. (a) True (b) False
  17. 17.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  18. 18.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  19. 19.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) ask different people (d) balance the data
  20. 20.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  21. 21.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
  22. 22.True or false: “add varied examples” adds to bias. (a) True (b) False
  23. 23.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  25. 25.True or false: “ask different people” helps reduce bias. (a) True (b) False
  26. 26.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  28. 28.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
  30. 30.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  31. 31.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  32. 32.True or false: “ask different people” adds to bias. (a) False (b) True
  33. 33.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  34. 34.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  35. 35.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  36. 36.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced 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 of these helps reduce bias? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) check who is missing
  39. 39.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) add more of the same (d) balance the data
  40. 40.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data

Answer key

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

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