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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 289 · 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.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
  3. 3.True or false: “add varied examples” adds to bias. (a) True (b) False
  4. 4.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  5. 5.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) test on one group only (d) ignore complaints
  6. 6.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  7. 7.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) ignore complaints (d) add more of the same
  8. 8.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  9. 9.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  10. 10.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  11. 11.True or false: “test on many groups” adds to bias. (a) False (b) True
  12. 12.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  13. 13.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  14. 14.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  15. 15.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  16. 16.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  17. 17.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  18. 18.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) fix wrong labels (d) ignore complaints
  19. 19.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  20. 20.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
  21. 21.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  22. 22.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  23. 23.True or false: “skip testing” adds to bias. (a) False (b) True
  24. 24.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) use one group only (d) check who is missing
  25. 25.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) add varied examples (d) copy old unfair choices
  26. 26.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  27. 27.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) use one group only (d) check who is missing
  28. 28.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) add varied examples (d) check who is missing
  29. 29.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  30. 30.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  31. 31.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) the phone was new (d) it was a rainy day
  32. 32.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) add more of the same (d) test on many groups
  33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  34. 34.True or false: “balance the data” adds to bias. (a) False (b) True
  35. 35.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  36. 36.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  37. 37.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) copy old unfair choices (d) balance the data
  38. 38.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  39. 39.True or false: “check who is missing” adds to bias. (a) False (b) True
  40. 40.True or false: “test on one group only” adds to bias. (a) True (b) False

Answer key

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

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