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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 295 · 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 helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) balance the data (d) ignore complaints
  2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  3. 3.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) test on one group only (d) use one group only
  4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) children speak too fast (d) it was a rainy day
  5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
  6. 6.True or false: “use one group only” adds to bias. (a) False (b) True
  7. 7.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  8. 8.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  10. 10.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  11. 11.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  13. 13.Which of these adds to bias? (a) check who is missing (b) balance the data (c) skip testing (d) ask different people
  14. 14.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  15. 15.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  16. 16.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  17. 17.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  18. 18.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) test on many groups (d) use one group only
  19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  20. 20.True or false: “ignore complaints” adds to bias. (a) True (b) False
  21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  22. 22.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  23. 23.True or false: “add varied examples” adds to bias. (a) True (b) False
  24. 24.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  25. 25.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) copy old unfair choices (d) balance the data
  26. 26.Which of these adds to bias? (a) check who is missing (b) balance the data (c) ask different people (d) copy old unfair choices
  27. 27.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  28. 28.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
  29. 29.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) ask different people (d) add varied examples
  30. 30.True or false: “use one group only” helps reduce bias. (a) False (b) True
  31. 31.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.True or false: “ask different people” adds to bias. (a) False (b) True
  33. 33.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  34. 34.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  35. 35.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) ask different people (d) ignore complaints
  36. 36.🔍 Which is the odd one out? (a) skip testing (b) check who is missing (c) test on one group only (d) add more of the same
  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: “ask different people” helps reduce bias. (a) True (b) False
  39. 39.True or false: “balance the data” adds to bias. (a) False (b) True
  40. 40.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only

Answer key

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

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