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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 384 · 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: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  2. 2.True or false: “add varied examples” adds to bias. (a) True (b) False
  3. 3.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  4. 4.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  5. 5.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  6. 6.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  7. 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  8. 8.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  9. 9.Which of these adds to bias? (a) test on one group only (b) test on many groups (c) ask different people (d) add varied examples
  10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  11. 11.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  12. 12.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  13. 13.Which of these adds to bias? (a) ignore complaints (b) test on many groups (c) check who is missing (d) ask different people
  14. 14.True or false: “use one group only” helps reduce bias. (a) False (b) True
  15. 15.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  16. 16.True or false: “add more of the same” adds to bias. (a) True (b) False
  17. 17.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  18. 18.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  19. 19.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
  20. 20.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) use one group only (d) check who is missing
  21. 21.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
  23. 23.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  24. 24.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
  25. 25.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  26. 26.Which of these adds to bias? (a) check who is missing (b) balance the data (c) add varied examples (d) skip testing
  27. 27.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) balance the data (d) check who is missing
  28. 28.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  29. 29.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  30. 30.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) use one group only (d) ask different people
  31. 31.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
  32. 32.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) copy old unfair choices (d) test on many groups
  33. 33.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  34. 34.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  35. 35.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  36. 36.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  37. 37.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  38. 38.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  39. 39.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  40. 40.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) add more of the same (d) ask different people

Answer key

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

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