← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 152 · 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: “check who is missing” adds to bias. (a) False (b) True
  2. 2.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  3. 3.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  5. 5.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) balance the data (d) skip testing
  6. 6.True or false: “test on many groups” adds to bias. (a) False (b) True
  7. 7.True or false: “skip testing” adds to bias. (a) True (b) False
  8. 8.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
  10. 10.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
  12. 12.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  13. 13.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  14. 14.Which of these adds to bias? (a) ask different people (b) ignore complaints (c) check who is missing (d) balance the data
  15. 15.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  16. 16.Which of these adds to bias? (a) check who is missing (b) ask different people (c) copy old unfair choices (d) balance the data
  17. 17.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on one group only (d) check who is missing
  18. 18.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
  19. 19.True or false: “balance the data” helps reduce bias. (a) True (b) False
  20. 20.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  21. 21.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  22. 22.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) check who is missing (d) balance the data
  23. 23.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  24. 24.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  25. 25.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) use one group only (d) add varied examples
  26. 26.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) fix wrong labels (d) use one group only
  27. 27.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  28. 28.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  29. 29.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
  30. 30.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) skip testing (d) check who is missing
  31. 31.Which of these adds to bias? (a) ask different people (b) check who is missing (c) use one group only (d) balance the data
  32. 32.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  33. 33.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  34. 34.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  35. 35.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) test on one group only (d) ignore complaints
  36. 36.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  37. 37.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  38. 38.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) add more of the same (d) fix wrong labels
  39. 39.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  40. 40.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data

Answer key

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

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