← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 838 · 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.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
  2. 2.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  3. 3.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  4. 4.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  5. 5.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) test on many groups
  6. 6.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  7. 7.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  8. 8.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  9. 9.True or false: “add varied examples” adds to bias. (a) True (b) False
  10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
  11. 11.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  12. 12.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  13. 13.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  14. 14.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  15. 15.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  16. 16.Which of these helps reduce bias? (a) add varied examples (b) copy old unfair choices (c) skip testing (d) add more of the same
  17. 17.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  18. 18.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
  19. 19.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) add more of the same (d) fix wrong labels
  20. 20.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) add varied examples (d) ignore complaints
  21. 21.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  22. 22.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) skip testing (d) check who is missing
  23. 23.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) add varied examples (d) check who is missing
  24. 24.True or false: “ask different people” adds to bias. (a) False (b) True
  25. 25.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
  26. 26.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  27. 27.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) balance the data (d) skip testing
  28. 28.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  29. 29.True or false: “ignore complaints” adds to bias. (a) False (b) True
  30. 30.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  31. 31.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  32. 32.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  33. 33.True or false: “test on one group only” adds to bias. (a) True (b) False
  34. 34.True or false: “check who is missing” adds to bias. (a) True (b) False
  35. 35.Which of these adds to bias? (a) ask different people (b) test on many groups (c) add varied examples (d) use one group only
  36. 36.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  37. 37.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
  38. 38.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) add more of the same (d) ask different people
  39. 39.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  40. 40.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False

Answer key

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

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