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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 788 · 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: “balance the data” helps reduce bias. (a) False (b) True
  2. 2.True or false: “balance the data” adds to bias. (a) False (b) True
  3. 3.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  4. 4.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  5. 5.Which of these adds to bias? (a) test on many groups (b) use one group only (c) add varied examples (d) fix wrong labels
  6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  7. 7.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) copy old unfair choices (d) ignore complaints
  8. 8.True or false: “use one group only” adds to bias. (a) True (b) False
  9. 9.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  10. 10.True or false: “ask different people” adds to bias. (a) True (b) False
  11. 11.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  12. 12.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  13. 13.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  14. 14.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) ignore complaints (d) copy old unfair choices
  15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
  16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  17. 17.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) skip testing (d) ignore complaints
  18. 18.Which of these helps reduce bias? (a) check who is missing (b) copy old unfair choices (c) skip testing (d) test on one group only
  19. 19.True or false: “add varied examples” adds to bias. (a) True (b) False
  20. 20.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  21. 21.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) balance the data (d) ask different people
  22. 22.True or false: “check who is missing” adds to bias. (a) False (b) True
  23. 23.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  24. 24.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
  25. 25.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  26. 26.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) check who is missing (d) balance the data
  27. 27.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  28. 28.True or false: “skip testing” adds to bias. (a) True (b) False
  29. 29.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  30. 30.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  31. 31.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  32. 32.True or false: “skip testing” helps reduce bias. (a) True (b) False
  33. 33.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
  34. 34.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  35. 35.True or false: “use one group only” helps reduce bias. (a) True (b) False
  36. 36.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) skip testing (d) fix wrong labels
  37. 37.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  38. 38.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  39. 39.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) test on many groups (d) copy old unfair choices
  40. 40.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data

Answer key

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

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