← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 732 · 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.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) ignore complaints (d) copy old unfair choices
  2. 2.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) add more of the same (d) ignore complaints
  3. 3.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  4. 4.Which of these adds to bias? (a) ignore complaints (b) balance the data (c) add varied examples (d) check who is missing
  5. 5.True or false: “ask different people” helps reduce bias. (a) False (b) True
  6. 6.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) skip testing (d) balance the data
  7. 7.True or false: “ignore complaints” adds to bias. (a) True (b) False
  8. 8.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  9. 9.True or false: “test on one group only” adds to bias. (a) True (b) False
  10. 10.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  11. 11.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  12. 12.🖼️ 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
  13. 13.Which of these helps reduce bias? (a) ask different people (b) copy old unfair choices (c) ignore complaints (d) use one group only
  14. 14.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  15. 15.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
  16. 16.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  17. 17.True or false: stories with doctors of every gender 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) reduces bias (b) adds to bias
  19. 19.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  20. 20.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) use one group only (d) ignore complaints
  21. 21.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  22. 22.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  23. 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  24. 24.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  25. 25.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  26. 26.True or false: “balance the data” helps reduce bias. (a) True (b) False
  27. 27.True or false: “skip testing” helps reduce bias. (a) False (b) True
  28. 28.True or false: “add varied examples” adds to bias. (a) False (b) True
  29. 29.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  30. 30.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
  31. 31.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  32. 32.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) copy old unfair choices (d) fix wrong labels
  33. 33.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  34. 34.True or false: “use one group only” helps reduce bias. (a) False (b) True
  35. 35.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  36. 36.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  37. 37.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) ignore complaints (d) add varied examples
  38. 38.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  39. 39.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
  40. 40.True or false: “check who is missing” adds to bias. (a) False (b) True

Answer key

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

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