← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 932 · 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.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  2. 2.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
  3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  4. 4.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  5. 5.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) ask different people (d) add varied examples
  6. 6.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
  7. 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  8. 8.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  9. 9.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  10. 10.True or false: “use one group only” helps reduce bias. (a) False (b) True
  11. 11.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  12. 12.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) skip testing (d) ask different people
  13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
  14. 14.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) test on one group only (d) use one group only
  15. 15.Which of these adds to bias? (a) test on many groups (b) ask different people (c) ignore complaints (d) add varied examples
  16. 16.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  17. 17.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  18. 18.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  19. 19.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) test on one group only (d) ignore complaints
  20. 20.True or false: “test on many groups” adds to bias. (a) True (b) False
  21. 21.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) balance the data (d) ask different people
  22. 22.Which of these adds to bias? (a) balance the data (b) check who is missing (c) fix wrong labels (d) test on one group only
  23. 23.True or false: “add more of the same” adds to bias. (a) True (b) False
  24. 24.True or false: “ask different people” adds to bias. (a) True (b) False
  25. 25.True or false: a voice app trained only on adult voices 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.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  28. 28.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  29. 29.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  30. 30.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  31. 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
  33. 33.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  34. 34.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) check who is missing (d) add more of the same
  35. 35.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  36. 36.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  37. 37.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
  38. 38.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) test on one group only (d) use one group only
  40. 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias

Answer key

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

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