← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 363 · 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: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  2. 2.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
  3. 3.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
  4. 4.True or false: “ignore complaints” adds to bias. (a) True (b) False
  5. 5.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) test on many groups (d) copy old unfair choices
  6. 6.True or false: “use one group only” helps reduce bias. (a) True (b) False
  7. 7.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  8. 8.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  10. 10.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  11. 11.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  12. 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  13. 13.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  14. 14.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) use one group only (d) add more of the same
  15. 15.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  16. 16.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
  17. 17.Which of these adds to bias? (a) ask different people (b) check who is missing (c) add more of the same (d) test on many groups
  18. 18.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
  19. 19.Which of these adds to bias? (a) check who is missing (b) copy old unfair choices (c) fix wrong labels (d) add varied examples
  20. 20.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  21. 21.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  22. 22.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  23. 23.True or false: “ask different people” adds to bias. (a) False (b) True
  24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  25. 25.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) check who is missing (d) skip testing
  26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) test on many groups (d) check who is missing
  27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  28. 28.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  29. 29.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  30. 30.True or false: “use one group only” adds to bias. (a) True (b) False
  31. 31.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  32. 32.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  34. 34.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) ask different people (d) balance the data
  35. 35.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) balance the data (d) add varied examples
  36. 36.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  37. 37.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) ignore complaints (d) add varied examples
  38. 38.True or false: “skip testing” helps reduce bias. (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) skip testing (d) balance the data
  40. 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias

Answer key

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

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