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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 251 · 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: test on many groups? (a) adds to bias (b) reduces bias
  2. 2.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  3. 3.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  4. 4.True or false: “add varied examples” adds to bias. (a) True (b) False
  5. 5.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  6. 6.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  7. 7.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  8. 8.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
  11. 11.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
  12. 12.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  13. 13.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  14. 14.True or false: “use one group only” adds to bias. (a) False (b) True
  15. 15.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  16. 16.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  17. 17.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
  18. 18.True or false: “ask different people” adds to bias. (a) True (b) False
  19. 19.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  20. 20.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  21. 21.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) skip testing (d) add varied examples
  22. 22.True or false: “test on many groups” adds to bias. (a) True (b) False
  23. 23.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  24. 24.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  25. 25.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  26. 26.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) fix wrong labels (d) copy old unfair choices
  27. 27.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) check who is missing (d) ask different people
  28. 28.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) ignore complaints (d) check who is missing
  29. 29.True or false: “test on one group only” adds to bias. (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on one group only (d) test on many groups
  31. 31.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  32. 32.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  33. 33.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
  34. 34.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  35. 35.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  36. 36.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  37. 37.True or false: “ignore complaints” adds to bias. (a) True (b) False
  38. 38.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
  39. 39.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  40. 40.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias

Answer key

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

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