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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 891 · 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.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
  2. 2.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  3. 3.🗣️ 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
  4. 4.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
  5. 5.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) copy old unfair choices (d) balance the data
  6. 6.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  7. 7.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  8. 8.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  9. 9.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) test on one group only (d) balance the data
  10. 10.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  11. 11.True or false: “use one group only” helps reduce bias. (a) False (b) True
  12. 12.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  13. 13.True or false: “ignore complaints” adds to bias. (a) False (b) True
  14. 14.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  15. 15.True or false: “test on many groups” adds to bias. (a) False (b) True
  16. 16.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) test on many groups
  17. 17.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  18. 18.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  19. 19.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) ignore complaints (d) add varied examples
  20. 20.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) fix wrong labels (d) balance the data
  21. 21.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  22. 22.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  23. 23.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  24. 24.Which of these adds to bias? (a) ask different people (b) add varied examples (c) test on many groups (d) skip testing
  25. 25.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) ignore complaints (d) skip testing
  26. 26.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  27. 27.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) use one group only (d) add more of the same
  28. 28.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  29. 29.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  30. 30.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) ignore complaints (d) check who is missing
  31. 31.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) balance the data (d) add varied examples
  32. 32.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  33. 33.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  34. 34.True or false: “add more of the same” adds to bias. (a) False (b) True
  35. 35.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  36. 36.True or false: “balance the data” adds to bias. (a) True (b) False
  37. 37.True or false: “skip testing” adds to bias. (a) True (b) False
  38. 38.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  39. 39.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) copy old unfair choices (d) ask different people

Answer key

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

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