← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 61 · 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: test on many groups? (a) adds to bias (b) reduces bias
  2. 2.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  3. 3.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) add more of the same (d) copy old unfair choices
  4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  5. 5.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  6. 6.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  7. 7.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  8. 8.True or false: “add varied examples” adds to bias. (a) True (b) False
  9. 9.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  10. 10.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  11. 11.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  12. 12.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
  13. 13.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  14. 14.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) fix wrong labels (d) test on many groups
  15. 15.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  16. 16.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  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.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  19. 19.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  20. 20.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  21. 21.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  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.🗣️ 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
  24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  25. 25.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) ignore complaints (d) use one group only
  26. 26.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  27. 27.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) balance the data (d) use one group only
  28. 28.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) add varied examples (d) ignore complaints
  29. 29.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  30. 30.True or false: “use one group only” helps reduce bias. (a) True (b) False
  31. 31.🖼️ 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
  32. 32.True or false: “ask different people” adds to bias. (a) False (b) True
  33. 33.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) add more of the same (d) copy old unfair choices
  34. 34.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  35. 35.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  36. 36.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  37. 37.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) skip testing (d) test on many groups
  38. 38.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  39. 39.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  40. 40.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias

Answer key

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

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