← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 335 · 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: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  2. 2.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
  3. 3.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  4. 4.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
  5. 5.True or false: “check who is missing” adds to bias. (a) False (b) True
  6. 6.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  7. 7.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  8. 8.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  9. 9.True or false: “skip testing” adds to bias. (a) True (b) False
  10. 10.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  11. 11.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
  12. 12.Which of these helps reduce bias? (a) ask different people (b) ignore complaints (c) skip testing (d) copy old unfair choices
  13. 13.True or false: “add varied examples” adds to bias. (a) True (b) False
  14. 14.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  15. 15.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  16. 16.Which of these adds to bias? (a) ask different people (b) add varied examples (c) test on one group only (d) balance the data
  17. 17.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  18. 18.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  19. 19.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
  21. 21.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  22. 22.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  23. 23.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  25. 25.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) ask different people (d) add varied examples
  26. 26.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) ask different people (d) test on many groups
  27. 27.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  28. 28.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) check who is missing (d) test on one group only
  29. 29.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) test on one group only (d) fix wrong labels
  30. 30.True or false: “test on one group only” adds to bias. (a) True (b) False
  31. 31.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  33. 33.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) copy old unfair choices (d) test on many groups
  34. 34.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  35. 35.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) fix wrong labels (d) balance the data
  36. 36.True or false: “use one group only” adds to bias. (a) False (b) True
  37. 37.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  38. 38.True or false: “balance the data” adds to bias. (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) use one group only (d) add varied examples
  40. 40.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data

Answer key

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

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