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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 456 · 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 adds to bias? (a) ask different people (b) ignore complaints (c) test on many groups (d) add varied examples
  2. 2.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) ignore complaints (d) ask different people
  3. 3.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  4. 4.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  5. 5.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  6. 6.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  7. 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  8. 8.True or false: “ask different people” adds to bias. (a) True (b) False
  9. 9.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  10. 10.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  11. 11.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  12. 12.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  13. 13.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  14. 14.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  15. 15.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) ignore complaints (d) add more of the same
  16. 16.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  17. 17.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  18. 18.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  19. 19.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) add varied examples (d) test on one group only
  20. 20.True or false: “skip testing” adds to bias. (a) True (b) False
  21. 21.True or false: “ignore complaints” adds to bias. (a) True (b) False
  22. 22.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
  23. 23.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  24. 24.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) test on many groups (d) ask different people
  25. 25.True or false: “add more of the same” adds to bias. (a) False (b) True
  26. 26.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  27. 27.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  28. 28.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) check who is missing
  29. 29.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  30. 30.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  31. 31.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  32. 32.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) balance the data (d) add more of the same
  33. 33.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) test on one group only (d) add varied examples
  34. 34.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
  35. 35.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  36. 36.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) balance the data (d) use one group only
  37. 37.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
  38. 38.True or false: “check who is missing” adds to bias. (a) True (b) False
  39. 39.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  40. 40.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data

Answer key

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

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