← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 399 · 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: copy old unfair choices? (a) adds to bias (b) reduces bias
  2. 2.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) ask different people (d) check who is missing
  3. 3.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) ask different people
  4. 4.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  5. 5.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  7. 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  8. 8.True or false: “balance the data” adds to bias. (a) True (b) False
  9. 9.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  10. 10.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) copy old unfair choices (d) ask different people
  11. 11.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) skip testing (d) ask different people
  12. 12.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  13. 13.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) add more of the same (d) ask different people
  14. 14.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  15. 15.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
  16. 16.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) balance the data
  17. 17.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  18. 18.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) add more of the same (d) add varied examples
  19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  20. 20.True or false: “add more of the same” adds to bias. (a) False (b) True
  21. 21.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
  22. 22.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) balance the data (d) use one group only
  23. 23.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  24. 24.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  25. 25.True or false: “add varied examples” adds to bias. (a) True (b) False
  26. 26.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) ask different people (d) use one group only
  27. 27.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) use one group only (d) add more of the same
  28. 28.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) add varied examples (d) use one group only
  29. 29.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  30. 30.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  31. 31.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) ignore complaints (d) add more of the same
  32. 32.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  33. 33.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  34. 34.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  35. 35.True or false: “skip testing” helps reduce bias. (a) False (b) True
  36. 36.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  37. 37.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  38. 38.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  39. 39.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
  40. 40.True or false: “use one group only” helps reduce bias. (a) False (b) True

Answer key

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

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