← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 543 · 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: stories with doctors of every gender? (a) one-sided data (b) balanced data
  2. 2.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  3. 3.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) skip testing (d) add more of the same
  4. 4.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced 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.🗣️ 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) the phone was new (d) children speak too fast
  7. 7.Which of these adds to bias? (a) check who is missing (b) skip testing (c) add varied examples (d) balance the data
  8. 8.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  9. 9.True or false: “test on one group only” adds to bias. (a) False (b) True
  10. 10.Which of these adds to bias? (a) check who is missing (b) use one group only (c) ask different people (d) test on many groups
  11. 11.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  12. 12.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  13. 13.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  14. 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  15. 15.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  16. 16.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  17. 17.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  18. 18.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  19. 19.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  20. 20.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  21. 21.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  22. 22.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) add varied examples (d) test on one group only
  23. 23.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) add varied examples (d) test on many groups
  24. 24.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on one group only (d) check who is missing
  25. 25.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) add more of the same (d) copy old unfair choices
  26. 26.True or false: “balance the data” adds to bias. (a) False (b) True
  27. 27.True or false: “test on many groups” adds to bias. (a) True (b) False
  28. 28.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  29. 29.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) skip testing (d) check who is missing
  30. 30.Which of these adds to bias? (a) balance the data (b) add varied examples (c) copy old unfair choices (d) fix wrong labels
  31. 31.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  32. 32.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  33. 33.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  34. 34.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  36. 36.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  37. 37.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  38. 38.True or false: “balance the data” helps reduce bias. (a) True (b) False
  39. 39.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  40. 40.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data

Answer key

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

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