← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 49 · 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) ignore complaints (b) copy old unfair choices (c) skip testing (d) test on many groups
  2. 2.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) copy old unfair choices (d) test on one group only
  3. 3.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) fix wrong labels (d) test on many groups
  4. 4.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) check who is missing (d) test on one group only
  5. 5.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) fix wrong labels (d) check who is missing
  6. 6.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on many groups (d) skip testing
  7. 7.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  8. 8.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  9. 9.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  10. 10.🗣️ 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) few child voices in data (d) the phone was new
  11. 11.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) check who is missing (d) add more of the same
  12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  13. 13.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) add more of the same (d) skip testing
  14. 14.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  15. 15.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  16. 16.True or false: “test on many groups” adds to bias. (a) False (b) True
  17. 17.True or false: “use one group only” helps reduce bias. (a) True (b) False
  18. 18.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  19. 19.True or false: “ask different people” adds to bias. (a) False (b) True
  20. 20.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  21. 21.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  22. 22.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  23. 23.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) check who is missing (d) test on many groups
  24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  25. 25.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  26. 26.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
  27. 27.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  28. 28.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) fix wrong labels (d) ignore complaints
  29. 29.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  30. 30.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  31. 31.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  32. 32.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  33. 33.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  34. 34.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) ask different people
  35. 35.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) skip testing (d) use one group only
  36. 36.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  37. 37.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  38. 38.True or false: “skip testing” adds to bias. (a) True (b) False
  39. 39.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) ignore complaints (d) ask different people
  40. 40.True or false: “balance the data” helps reduce bias. (a) True (b) False

Answer key

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

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