← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 424 · 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: “test on one group only” helps reduce bias. (a) True (b) False
  2. 2.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
  3. 3.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  4. 4.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  5. 5.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  6. 6.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  7. 7.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  8. 8.True or false: “check who is missing” adds to bias. (a) True (b) False
  9. 9.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  10. 10.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) skip testing (d) test on one group only
  11. 11.True or false: “ignore complaints” adds to bias. (a) True (b) False
  12. 12.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  13. 13.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  14. 14.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  15. 15.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  16. 16.True or false: “use one group only” helps reduce bias. (a) False (b) True
  17. 17.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  18. 18.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) ask different people (d) add more of the same
  19. 19.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  20. 20.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) copy old unfair choices
  21. 21.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  22. 22.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
  23. 23.True or false: “skip testing” helps reduce bias. (a) False (b) True
  24. 24.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) test on one group only (d) skip testing
  25. 25.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) ignore complaints (d) add more of the same
  26. 26.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) ask different people (d) ignore complaints
  27. 27.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  28. 28.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  29. 29.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  30. 30.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  31. 31.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  32. 32.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  33. 33.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) use one group only (d) fix wrong labels
  34. 34.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
  35. 35.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) skip testing (d) ignore complaints
  36. 36.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  37. 37.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  38. 38.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
  39. 39.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  40. 40.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True

Answer key

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

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