← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 575 · 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.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) balance the data
  2. 2.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  3. 3.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) test on one group only (d) ask different people
  4. 4.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  5. 5.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) add more of the same (d) ask different people
  6. 6.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  7. 7.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) test on one group only (d) fix wrong labels
  8. 8.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  10. 10.Which of these adds to bias? (a) use one group only (b) balance the data (c) add varied examples (d) test on many groups
  11. 11.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  12. 12.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  13. 13.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
  14. 14.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  15. 15.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  17. 17.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  18. 18.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  20. 20.True or false: “ask different people” adds to bias. (a) True (b) False
  21. 21.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  22. 22.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  23. 23.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  24. 24.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
  25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  26. 26.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) add varied examples (d) ignore complaints
  27. 27.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  28. 28.True or false: “skip testing” adds to bias. (a) True (b) False
  29. 29.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
  30. 30.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) ask different people (d) ignore complaints
  31. 31.True or false: “ask different people” helps reduce bias. (a) True (b) False
  32. 32.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  33. 33.True or false: “use one group only” helps reduce bias. (a) False (b) True
  34. 34.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  35. 35.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) test on many groups (d) copy old unfair choices
  36. 36.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  37. 37.True or false: “skip testing” helps reduce bias. (a) True (b) False
  38. 38.True or false: “test on many groups” adds to bias. (a) True (b) False
  39. 39.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False

Answer key

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

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