← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 595 · 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.Which of these helps reduce bias? (a) check who is missing (b) ignore complaints (c) skip testing (d) use one group only
  2. 2.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  4. 4.True or false: “balance the data” helps reduce bias. (a) True (b) False
  5. 5.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  6. 6.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  7. 7.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  8. 8.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  9. 9.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  10. 10.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
  11. 11.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  12. 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  13. 13.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  14. 14.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  15. 15.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  16. 16.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) check who is missing (d) fix wrong labels
  17. 17.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  18. 18.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) test on many groups (d) use one group only
  19. 19.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
  20. 20.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  21. 21.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  22. 22.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  23. 23.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  24. 24.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  25. 25.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  26. 26.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  27. 27.True or false: “skip testing” helps reduce bias. (a) False (b) True
  28. 28.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  29. 29.True or false: “use one group only” adds to bias. (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) balance the data (d) test on many groups
  31. 31.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) check who is missing (d) balance the data
  32. 32.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  33. 33.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  34. 34.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  35. 35.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  36. 36.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  37. 37.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  38. 38.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) skip testing (d) copy old unfair choices
  39. 39.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) check who is missing
  40. 40.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False

Answer key

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

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