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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 801 · 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.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) test on one group only (d) fix wrong labels
  2. 2.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  4. 4.Which of these helps reduce bias? (a) use one group only (b) check who is missing (c) copy old unfair choices (d) test on one group only
  5. 5.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  6. 6.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  7. 7.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  8. 8.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) balance the data (d) add more of the same
  9. 9.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  10. 10.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) add more of the same (d) test on one group only
  11. 11.True or false: “use one group only” adds to bias. (a) False (b) True
  12. 12.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) use one group only (d) add varied examples
  13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
  14. 14.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  15. 15.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
  16. 16.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) add varied examples (d) ignore complaints
  17. 17.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  18. 18.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
  19. 19.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  20. 20.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) test on one group only (d) check who is missing
  21. 21.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  22. 22.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  23. 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
  24. 24.Which of these helps reduce bias? (a) add varied examples (b) ignore complaints (c) copy old unfair choices (d) use one group only
  25. 25.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  26. 26.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  27. 27.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  28. 28.True or false: “skip testing” adds to bias. (a) False (b) True
  29. 29.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  30. 30.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  31. 31.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  32. 32.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  33. 33.True or false: “ask different people” helps reduce bias. (a) True (b) False
  34. 34.True or false: “check who is missing” adds to bias. (a) True (b) False
  35. 35.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  38. 38.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  39. 39.True or false: “ask different people” adds to bias. (a) False (b) True
  40. 40.Which of these adds to bias? (a) balance the data (b) add more of the same (c) add varied examples (d) check who is missing

Answer key

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

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