← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 981 · 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.🗣️ 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) children speak too fast (d) few child voices in data
  2. 2.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  3. 3.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  4. 4.True or false: “ask different people” adds to bias. (a) True (b) False
  5. 5.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) add varied examples (d) check who is missing
  6. 6.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  7. 7.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  8. 8.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  9. 9.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
  10. 10.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  11. 11.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) ignore complaints (d) test on many groups
  12. 12.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) add more of the same (d) check who is missing
  13. 13.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  14. 14.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  15. 15.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  16. 16.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) copy old unfair choices (d) balance the data
  17. 17.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  18. 18.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  19. 19.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  20. 20.True or false: “ask different people” helps reduce bias. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) check who is missing (d) ignore complaints
  22. 22.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  23. 23.True or false: “skip testing” helps reduce bias. (a) False (b) True
  24. 24.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  26. 26.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  27. 27.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  28. 28.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) skip testing (d) check who is missing
  29. 29.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  30. 30.Which of these adds to bias? (a) fix wrong labels (b) ignore complaints (c) check who is missing (d) test on many groups
  31. 31.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) add varied examples (d) test on many groups
  32. 32.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
  33. 33.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  34. 34.True or false: “use one group only” helps reduce bias. (a) True (b) False
  35. 35.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  36. 36.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
  37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  38. 38.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) use one group only (d) copy old unfair choices
  39. 39.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  40. 40.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias

Answer key

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

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