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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 478 · 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: add more of the same? (a) adds to bias (b) reduces bias
  2. 2.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  3. 3.True or false: “add more of the same” adds to bias. (a) True (b) False
  4. 4.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) copy old unfair choices (d) fix wrong labels
  5. 5.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  6. 6.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) fix wrong labels (d) ignore complaints
  7. 7.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  8. 8.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  9. 9.Which of these adds to bias? (a) use one group only (b) add varied examples (c) test on many groups (d) ask different people
  10. 10.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  11. 11.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
  12. 12.True or false: “balance the data” helps reduce bias. (a) True (b) False
  13. 13.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) check who is missing (d) add varied examples
  14. 14.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) balance the data (d) test on many groups
  15. 15.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) check who is missing (d) balance the data
  16. 16.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) skip testing (d) ignore complaints
  17. 17.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
  18. 18.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  19. 19.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  20. 20.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
  21. 21.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  22. 22.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  23. 23.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  24. 24.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  25. 25.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  26. 26.Which of these adds to bias? (a) fix wrong labels (b) skip testing (c) balance the data (d) check who is missing
  27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  28. 28.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) check who is missing (d) skip testing
  29. 29.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  30. 30.True or false: “ask different people” helps reduce bias. (a) False (b) True
  31. 31.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  32. 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  33. 33.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) ignore complaints (d) add varied examples
  34. 34.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
  35. 35.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  36. 36.True or false: “balance the data” adds to bias. (a) False (b) True
  37. 37.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  38. 38.True or false: “use one group only” helps reduce bias. (a) True (b) False
  39. 39.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  40. 40.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) add more of the same (d) use one group only

Answer key

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

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