← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 165 · 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: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  2. 2.True or false: “ignore complaints” adds to bias. (a) True (b) False
  3. 3.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  4. 4.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  5. 5.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) use one group only (d) test on one group only
  6. 6.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  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.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) copy old unfair choices (d) check who is missing
  9. 9.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
  10. 10.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  11. 11.Which of these adds to bias? (a) copy old unfair choices (b) fix wrong labels (c) add varied examples (d) test on many groups
  12. 12.True or false: “ask different people” adds to bias. (a) False (b) True
  13. 13.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  14. 14.True or false: “add more of the same” adds to bias. (a) False (b) True
  15. 15.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  16. 16.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  17. 17.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  18. 18.True or false: “ask different people” helps reduce bias. (a) True (b) False
  19. 19.True or false: “use one group only” helps reduce bias. (a) True (b) False
  20. 20.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) skip testing (d) fix wrong labels
  21. 21.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  22. 22.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) ask different people (d) add more of the same
  23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  24. 24.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
  26. 26.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  27. 27.True or false: “skip testing” adds to bias. (a) True (b) False
  28. 28.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) fix wrong labels (d) use one group only
  29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) use one group only
  30. 30.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) add varied examples (d) test on many groups
  31. 31.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) ask different people (d) balance the data
  32. 32.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  33. 33.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
  34. 34.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) copy old unfair choices (d) ask different people
  35. 35.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  36. 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  37. 37.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  38. 38.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) check who is missing (d) test on one group only
  39. 39.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  40. 40.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) balance the data

Answer key

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

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