← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 992 · 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: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  2. 2.True or false: “test on one group only” adds to bias. (a) True (b) False
  3. 3.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  4. 4.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  5. 5.True or false: “ask different people” adds to bias. (a) True (b) False
  6. 6.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) fix wrong labels (d) use one group only
  7. 7.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  8. 8.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  9. 9.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  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.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) ask different people (d) copy old unfair choices
  12. 12.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
  13. 13.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  14. 14.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) use one group only (d) balance the data
  15. 15.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  16. 16.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  17. 17.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  18. 18.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) ask different people (d) ignore complaints
  19. 19.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  20. 20.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  21. 21.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  22. 22.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) test on many groups
  23. 23.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  24. 24.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) ignore complaints (d) use one group only
  25. 25.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) add varied examples (d) skip testing
  26. 26.True or false: “skip testing” helps reduce bias. (a) False (b) True
  27. 27.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) test on many groups (d) add more of the same
  28. 28.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) test on many groups (d) check who is missing
  29. 29.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  30. 30.True or false: “balance the data” adds to bias. (a) True (b) False
  31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  32. 32.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  33. 33.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  34. 34.Which of these adds to bias? (a) ignore complaints (b) fix wrong labels (c) test on many groups (d) check who is missing
  35. 35.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  36. 36.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  37. 37.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) check who is missing (d) add more of the same
  38. 38.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  39. 39.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  40. 40.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

Answer key

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

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students