← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 445 · 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.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  2. 2.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  3. 3.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
  5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  6. 6.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  7. 7.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
  8. 8.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  9. 9.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  10. 10.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  11. 11.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  12. 12.True or false: “skip testing” adds to bias. (a) False (b) True
  13. 13.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  14. 14.True or false: “ask different people” helps reduce bias. (a) False (b) True
  15. 15.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) use one group only (d) add varied examples
  16. 16.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  17. 17.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) use one group only (d) ignore complaints
  18. 18.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  19. 19.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) test on many groups (d) add varied examples
  20. 20.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  21. 21.True or false: “ignore complaints” adds to bias. (a) False (b) True
  22. 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  23. 23.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  24. 24.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  25. 25.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) test on one group only (d) add varied examples
  26. 26.Which of these adds to bias? (a) test on many groups (b) balance the data (c) test on one group only (d) ask different people
  27. 27.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  28. 28.Which of these adds to bias? (a) check who is missing (b) ask different people (c) balance the data (d) use one group only
  29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  30. 30.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  31. 31.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  32. 32.True or false: “ask different people” adds to bias. (a) True (b) False
  33. 33.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  34. 34.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) use one group only (d) add varied examples
  35. 35.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  36. 36.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) test on one group only (d) copy old unfair choices
  37. 37.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  38. 38.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) add more of the same (d) add varied examples
  39. 39.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) skip testing (d) copy old unfair choices
  40. 40.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) skip testing (d) test on one group only

Answer key

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

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