← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 402 · 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 is the odd one out? (a) skip testing (b) ignore complaints (c) balance the data (d) copy old unfair choices
  2. 2.True or false: “ask different people” adds to bias. (a) True (b) False
  3. 3.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  4. 4.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  5. 5.True or false: “test on many groups” adds to bias. (a) False (b) True
  6. 6.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) check who is missing (d) test on many groups
  7. 7.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) add more of the same (d) skip testing
  8. 8.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) use one group only
  10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  11. 11.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
  12. 12.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) check who is missing (d) test on many groups
  13. 13.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  14. 14.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  15. 15.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  16. 16.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  17. 17.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  18. 18.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  19. 19.Which of these adds to bias? (a) balance the data (b) ask different people (c) test on one group only (d) test on many groups
  20. 20.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  21. 21.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) balance the data (d) test on many groups
  22. 22.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  23. 23.True or false: “use one group only” adds to bias. (a) False (b) True
  24. 24.True or false: “add more of the same” adds to bias. (a) True (b) False
  25. 25.True or false: “check who is missing” adds to bias. (a) False (b) True
  26. 26.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  27. 27.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) use one group only (d) copy old unfair choices
  28. 28.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  29. 29.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  30. 30.True or false: “use one group only” helps reduce bias. (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) add varied examples (d) ask different people
  32. 32.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  33. 33.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  34. 34.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) test on many groups (d) ignore complaints
  35. 35.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  36. 36.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
  37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
  38. 38.True or false: “balance the data” helps reduce bias. (a) False (b) True
  39. 39.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  40. 40.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) skip testing (d) use one group only

Answer key

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

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