← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 407 · 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 many groups? (a) adds to bias (b) reduces bias
  2. 2.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  3. 3.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  4. 4.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  5. 5.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
  6. 6.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
  7. 7.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  8. 8.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) use one group only
  9. 9.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  10. 10.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  12. 12.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  13. 13.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  14. 14.🖼️ 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
  15. 15.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  17. 17.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  18. 18.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  19. 19.True or false: “ask different people” adds to bias. (a) False (b) True
  20. 20.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) fix wrong labels (d) test on many groups
  21. 21.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  22. 22.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) copy old unfair choices (d) skip testing
  23. 23.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  24. 24.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  25. 25.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) ignore complaints (d) use one group only
  26. 26.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
  27. 27.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) ask different people (d) add more of the same
  28. 28.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) add varied examples (d) test on one group only
  29. 29.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) check who is missing (d) ignore complaints
  30. 30.True or false: “use one group only” adds to bias. (a) False (b) True
  31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  32. 32.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) add varied examples (d) test on many groups
  33. 33.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  34. 34.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  35. 35.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) use one group only (d) ask different people
  36. 36.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  37. 37.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  38. 38.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  39. 39.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  40. 40.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias

Answer key

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

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