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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 589 · 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: check who is missing? (a) reduces bias (b) adds to bias
  2. 2.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) ask different people (d) add varied examples
  3. 3.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) fix wrong labels (d) use one group only
  4. 4.True or false: “balance the data” helps reduce bias. (a) False (b) True
  5. 5.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
  7. 7.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  8. 8.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  9. 9.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) skip testing (d) ask different people
  10. 10.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  11. 11.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  12. 12.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) test on many groups (d) test on one group only
  13. 13.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
  14. 14.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  15. 15.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  16. 16.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) fix wrong labels (d) add varied examples
  17. 17.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) fix wrong labels (d) use one group only
  18. 18.True or false: “ignore complaints” adds to bias. (a) True (b) False
  19. 19.True or false: “use one group only” helps reduce bias. (a) True (b) False
  20. 20.🗣️ 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
  21. 21.True or false: “add more of the same” adds to bias. (a) True (b) False
  22. 22.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  23. 23.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  24. 24.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on many groups (d) add more of the same
  25. 25.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  26. 26.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  27. 27.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) ask different people (d) skip testing
  28. 28.True or false: “skip testing” helps reduce bias. (a) True (b) False
  29. 29.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  30. 30.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  31. 31.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) balance the data (d) test on one group only
  32. 32.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
  33. 33.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  34. 34.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  36. 36.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  37. 37.True or false: “test on one group only” adds to bias. (a) False (b) True
  38. 38.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  39. 39.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) use one group only (d) add more of the same
  40. 40.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False

Answer key

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

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