← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 258 · 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.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  2. 2.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  3. 3.🗣️ 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
  4. 4.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  5. 5.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  6. 6.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  7. 7.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  8. 8.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  9. 9.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  10. 10.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
  11. 11.True or false: “use one group only” helps reduce bias. (a) False (b) True
  12. 12.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
  13. 13.🖼️ 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
  14. 14.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  15. 15.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) add more of the same (d) fix wrong labels
  16. 16.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) ask different people (d) ignore complaints
  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.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  19. 19.True or false: “test on one group only” adds to bias. (a) True (b) False
  20. 20.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  21. 21.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) test on many groups (d) balance the data
  22. 22.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  23. 23.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  24. 24.Which of these adds to bias? (a) ignore complaints (b) balance the data (c) add varied examples (d) check who is missing
  25. 25.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  26. 26.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  27. 27.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  28. 28.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  29. 29.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) copy old unfair choices (d) check who is missing
  30. 30.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) balance the data (d) skip testing
  31. 31.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  32. 32.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) balance the data (d) test on many groups
  33. 33.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) use one group only (d) skip testing
  34. 34.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  35. 35.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  36. 36.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  37. 37.Which of these adds to bias? (a) balance the data (b) test on many groups (c) use one group only (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) add more of the same (b) ignore complaints (c) skip testing (d) balance the data
  40. 40.True or false: “add varied examples” adds to bias. (a) False (b) True

Answer key

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

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