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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 248 · 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: check who is missing? (a) adds to bias (b) reduces bias
  2. 2.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) test on many groups (d) copy old unfair choices
  3. 3.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  4. 4.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
  5. 5.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  6. 6.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) balance the data (d) skip testing
  7. 7.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  8. 8.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.True or false: “test on many groups” adds to bias. (a) False (b) True
  10. 10.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  11. 11.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  12. 12.True or false: “ignore complaints” adds to bias. (a) True (b) False
  13. 13.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  14. 14.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
  15. 15.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  16. 16.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
  17. 17.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  18. 18.True or false: “test on one group only” adds to bias. (a) False (b) True
  19. 19.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  20. 20.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  21. 21.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  22. 22.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  23. 23.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  24. 24.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  25. 25.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  26. 26.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) add more of the same (d) test on one group only
  27. 27.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  28. 28.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.True or false: “use one group only” helps reduce bias. (a) True (b) False
  30. 30.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  31. 31.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
  32. 32.True or false: “ask different people” adds to bias. (a) False (b) True
  33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  34. 34.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  35. 35.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  36. 36.Which of these adds to bias? (a) add varied examples (b) ask different people (c) balance the data (d) ignore complaints
  37. 37.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) check who is missing (d) copy old unfair choices
  38. 38.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) add more of the same (d) fix wrong labels
  40. 40.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False

Answer key

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

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