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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 349 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
  2. 2.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  3. 3.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  4. 4.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
  5. 5.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  6. 6.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) test on many groups (d) fix wrong labels
  7. 7.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) check who is missing (d) balance the data
  8. 8.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
  9. 9.True or false: “add varied examples” adds to bias. (a) False (b) True
  10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  11. 11.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) fix wrong labels (d) balance the data
  12. 12.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  13. 13.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  14. 14.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  15. 15.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  16. 16.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) add more of the same (d) ask different people
  17. 17.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  18. 18.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) use one group only (d) fix wrong labels
  19. 19.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  20. 20.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  21. 21.True or false: “test on one group only” adds to bias. (a) False (b) True
  22. 22.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  23. 23.True or false: “test on many groups” adds to bias. (a) False (b) True
  24. 24.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  25. 25.Which of these helps reduce bias? (a) fix wrong labels (b) test on one group only (c) skip testing (d) copy old unfair choices
  26. 26.True or false: “balance the data” adds to bias. (a) True (b) False
  27. 27.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  28. 28.True or false: “skip testing” adds to bias. (a) False (b) True
  29. 29.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  30. 30.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  31. 31.True or false: “add more of the same” adds to bias. (a) False (b) True
  32. 32.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) test on many groups (d) copy old unfair choices
  33. 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) add more of the same (d) use one group only
  34. 34.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  36. 36.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  37. 37.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  38. 38.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) test on one group only (d) use one group only
  40. 40.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new

Answer key

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

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