← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 459 · 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 many groups” helps reduce bias. (a) True (b) False
  2. 2.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  3. 3.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) test on many groups (d) use one group only
  4. 4.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  5. 5.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  6. 6.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  7. 7.Which of these adds to bias? (a) ask different people (b) ignore complaints (c) test on many groups (d) add varied examples
  8. 8.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  9. 9.Which of these helps reduce bias? (a) copy old unfair choices (b) add varied examples (c) skip testing (d) use one group only
  10. 10.🖼️ 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
  11. 11.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  12. 12.True or false: “test on many groups” adds to bias. (a) True (b) False
  13. 13.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) skip testing (d) balance the data
  14. 14.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  15. 15.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  16. 16.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  17. 17.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  18. 18.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  19. 19.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
  20. 20.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  21. 21.Which of these adds to bias? (a) balance the data (b) check who is missing (c) use one group only (d) ask different people
  22. 22.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  23. 23.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) copy old unfair choices (d) check who is missing
  24. 24.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
  25. 25.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  26. 26.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
  27. 27.Which of these adds to bias? (a) balance the data (b) ask different people (c) copy old unfair choices (d) check who is missing
  28. 28.True or false: “balance the data” helps reduce bias. (a) False (b) True
  29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) ask different people (d) add varied examples
  30. 30.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  31. 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  32. 32.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  33. 33.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  34. 34.True or false: “use one group only” adds to bias. (a) True (b) False
  35. 35.Which of these adds to bias? (a) balance the data (b) check who is missing (c) add varied examples (d) add more of the same
  36. 36.True or false: “balance the data” adds to bias. (a) True (b) False
  37. 37.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  38. 38.True or false: “add more of the same” adds to bias. (a) True (b) False
  39. 39.True or false: “ask different people” helps reduce bias. (a) True (b) False
  40. 40.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias

Answer key

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

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