← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 709 · 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.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  2. 2.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  3. 3.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  4. 4.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
  5. 5.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) ask different people (d) use one group only
  6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
  7. 7.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  8. 8.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
  9. 9.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) test on one group only (d) check who is missing
  10. 10.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  12. 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  13. 13.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  14. 14.True or false: “ask different people” helps reduce bias. (a) True (b) False
  15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
  16. 16.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) test on one group only (d) check who is missing
  17. 17.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  18. 18.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) test on many groups (d) add varied examples
  19. 19.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on one group only (d) test on many groups
  20. 20.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  21. 21.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  22. 22.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  23. 23.True or false: “ignore complaints” adds to bias. (a) True (b) False
  24. 24.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
  25. 25.True or false: “test on one group only” adds to bias. (a) True (b) False
  26. 26.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  27. 27.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) balance the data (d) test on many groups
  28. 28.True or false: “skip testing” helps reduce bias. (a) True (b) False
  29. 29.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  30. 30.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) add more of the same (d) balance the data
  31. 31.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  33. 33.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  34. 34.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  35. 35.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  36. 36.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  37. 37.Which of these adds to bias? (a) balance the data (b) test on many groups (c) use one group only (d) add varied examples
  38. 38.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  39. 39.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  40. 40.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) ignore complaints (d) test on one group only

Answer key

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

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