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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 804 · 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.True or false: “ignore complaints” adds to bias. (a) True (b) False
  2. 2.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) use one group only (d) add varied examples
  3. 3.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
  4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  5. 5.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  6. 6.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  7. 7.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  8. 8.True or false: “balance the data” helps reduce bias. (a) True (b) False
  9. 9.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  10. 10.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  11. 11.True or false: “check who is missing” adds to bias. (a) True (b) False
  12. 12.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  13. 13.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  14. 14.True or false: “test on one group only” adds to bias. (a) True (b) False
  15. 15.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) test on many groups (d) copy old unfair choices
  16. 16.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  17. 17.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  18. 18.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) skip testing (d) balance the data
  19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  20. 20.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) skip testing
  21. 21.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  22. 22.True or false: “balance the data” adds to bias. (a) False (b) True
  23. 23.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  24. 24.True or false: “test on many groups” adds to bias. (a) True (b) False
  25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  26. 26.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  27. 27.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) ignore complaints (d) copy old unfair choices
  28. 28.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) test on one group only (d) ignore complaints
  29. 29.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) ask different people (d) skip testing
  30. 30.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  31. 31.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
  32. 32.🗣️ 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
  33. 33.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  34. 34.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  35. 35.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  36. 36.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) ignore complaints (d) copy old unfair choices
  37. 37.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  38. 38.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  39. 39.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  40. 40.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) use one group only (d) copy old unfair choices

Answer key

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

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