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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 78 · 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: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  2. 2.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  3. 3.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  4. 4.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) test on many groups (d) add varied examples
  5. 5.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  6. 6.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  7. 7.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  8. 8.True or false: “ask different people” helps reduce bias. (a) False (b) True
  9. 9.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  10. 10.True or false: “use one group only” adds to bias. (a) True (b) False
  11. 11.🖼️ 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
  12. 12.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  13. 13.True or false: “skip testing” adds to bias. (a) True (b) False
  14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  15. 15.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  16. 16.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) skip testing (d) check who is missing
  17. 17.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) add varied examples (d) skip testing
  18. 18.Which of these adds to bias? (a) add more of the same (b) fix wrong labels (c) test on many groups (d) add varied examples
  19. 19.True or false: “ask different people” adds to bias. (a) True (b) False
  20. 20.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) balance the data (d) ignore complaints
  21. 21.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) test on many groups (d) add varied examples
  22. 22.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
  23. 23.True or false: “add varied examples” adds to bias. (a) True (b) False
  24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  25. 25.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  26. 26.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  27. 27.True or false: “add more of the same” adds to bias. (a) True (b) False
  28. 28.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  29. 29.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) fix wrong labels (d) test on one group only
  30. 30.Which of these adds to bias? (a) add varied examples (b) ask different people (c) test on many groups (d) use one group only
  31. 31.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) fix wrong labels (d) balance the data
  32. 32.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  33. 33.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
  34. 34.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  35. 35.True or false: “ignore complaints” adds to bias. (a) True (b) False
  36. 36.🗣️ 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
  37. 37.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  38. 38.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  39. 39.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  40. 40.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data

Answer key

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

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