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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 310 · 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 is the odd one out? (a) test on many groups (b) ask different people (c) fix wrong labels (d) copy old unfair choices
  2. 2.Which of these adds to bias? (a) ask different people (b) use one group only (c) fix wrong labels (d) add varied examples
  3. 3.True or false: “use one group only” helps reduce bias. (a) True (b) False
  4. 4.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
  5. 5.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  6. 6.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  7. 7.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  8. 8.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  9. 9.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  10. 10.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) skip testing (d) copy old unfair choices
  11. 11.🖼️ 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
  12. 12.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  13. 13.True or false: “ask different people” adds to bias. (a) True (b) False
  14. 14.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  15. 15.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
  16. 16.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  17. 17.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  18. 18.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) add varied examples (d) ignore complaints
  19. 19.Which of these adds to bias? (a) check who is missing (b) skip testing (c) ask different people (d) balance the data
  20. 20.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
  21. 21.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) balance the data
  22. 22.True or false: “test on many groups” adds to bias. (a) False (b) True
  23. 23.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  24. 24.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  25. 25.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  26. 26.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  27. 27.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  28. 28.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  29. 29.Which of these adds to bias? (a) test on many groups (b) ask different people (c) copy old unfair choices (d) fix wrong labels
  30. 30.True or false: “balance the data” adds to bias. (a) False (b) True
  31. 31.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  32. 32.True or false: “skip testing” helps reduce bias. (a) True (b) False
  33. 33.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  34. 34.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  35. 35.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  36. 36.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  37. 37.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  38. 38.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  39. 39.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) add varied examples (d) test on one group only
  40. 40.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False

Answer key

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

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