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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 314 · 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: test on many groups? (a) adds to bias (b) reduces bias
  2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  3. 3.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  5. 5.True or false: “skip testing” helps reduce bias. (a) True (b) False
  6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
  7. 7.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  8. 8.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) test on many groups (d) ask different people
  10. 10.True or false: “test on many groups” adds to bias. (a) True (b) False
  11. 11.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  12. 12.Which of these adds to bias? (a) ask different people (b) test on many groups (c) test on one group only (d) fix wrong labels
  13. 13.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) fix wrong labels (d) test on one group only
  14. 14.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  15. 15.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  16. 16.True or false: “add more of the same” adds to bias. (a) False (b) True
  17. 17.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) test on one group only (d) balance the data
  18. 18.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  19. 19.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  20. 20.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  21. 21.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  22. 22.True or false: “balance the data” adds to bias. (a) True (b) False
  23. 23.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  25. 25.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) add more of the same (d) add varied examples
  26. 26.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  27. 27.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  28. 28.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) add more of the same (d) test on one group only
  29. 29.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) check who is missing (d) fix wrong labels
  30. 30.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  31. 31.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
  33. 33.Which of these adds to bias? (a) use one group only (b) balance the data (c) check who is missing (d) fix wrong labels
  34. 34.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  35. 35.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  36. 36.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  37. 37.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  38. 38.True or false: “check who is missing” adds to bias. (a) True (b) False
  39. 39.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) check who is missing (d) add more of the same
  40. 40.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data

Answer key

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

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