← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 265 · 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.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  2. 2.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  3. 3.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) add varied examples
  4. 4.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  5. 5.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  6. 6.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  7. 7.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  8. 8.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  9. 9.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  10. 10.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  11. 11.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) copy old unfair choices (d) balance the data
  12. 12.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) check who is missing (d) add more of the same
  13. 13.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) balance the data (d) test on many groups
  14. 14.True or false: “balance the data” adds to bias. (a) False (b) True
  15. 15.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) fix wrong labels (d) add varied examples
  16. 16.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  17. 17.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  18. 18.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
  19. 19.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  20. 20.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  21. 21.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  22. 22.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  24. 24.Which of these adds to bias? (a) fix wrong labels (b) copy old unfair choices (c) balance the data (d) add varied examples
  25. 25.Which of these adds to bias? (a) use one group only (b) test on many groups (c) ask different people (d) fix wrong labels
  26. 26.True or false: “test on one group only” adds to bias. (a) True (b) False
  27. 27.Which of these adds to bias? (a) add varied examples (b) balance the data (c) add more of the same (d) test on many groups
  28. 28.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
  29. 29.True or false: “ask different people” adds to bias. (a) False (b) True
  30. 30.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  31. 31.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) balance the data (d) check who is missing
  32. 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
  33. 33.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  34. 34.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) balance the data (d) copy old unfair choices
  35. 35.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) skip testing (d) copy old unfair choices
  36. 36.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  37. 37.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  38. 38.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  40. 40.True or false: “skip testing” helps reduce bias. (a) False (b) True

Answer key

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

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