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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 713 · 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: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
  3. 3.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) use one group only (d) ask different people
  4. 4.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  5. 5.True or false: “add varied examples” adds to bias. (a) False (b) True
  6. 6.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) ignore complaints (d) test on one group only
  7. 7.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  8. 8.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  9. 9.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  10. 10.True or false: “check who is missing” adds to bias. (a) False (b) True
  11. 11.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  12. 12.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) add more of the same (d) ask different people
  13. 13.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  14. 14.True or false: “test on one group only” adds to bias. (a) False (b) True
  15. 15.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) skip testing
  16. 16.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  17. 17.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  18. 18.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  19. 19.🖼️ 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
  20. 20.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) ignore complaints (d) skip testing
  21. 21.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) copy old unfair choices (d) add varied examples
  22. 22.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  23. 23.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) check who is missing (d) add varied examples
  24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  25. 25.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  26. 26.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  27. 27.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  28. 28.True or false: “skip testing” adds to bias. (a) False (b) True
  29. 29.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) ask different people (d) test on one group only
  30. 30.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) check who is missing (d) fix wrong labels
  31. 31.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  32. 32.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
  33. 33.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  34. 34.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  35. 35.True or false: “skip testing” helps reduce bias. (a) False (b) True
  36. 36.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  37. 37.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ignore complaints (d) add varied examples
  38. 38.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  39. 39.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  40. 40.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) test on one group only (d) skip testing

Answer key

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

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