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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 858 · 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 where every doctor is a man? (a) one-sided data (b) balanced data
  2. 2.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) ignore complaints (d) add varied examples
  3. 3.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  4. 4.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) test on many groups (d) ask different people
  5. 5.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  6. 6.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  7. 7.True or false: “skip testing” adds to bias. (a) True (b) False
  8. 8.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) fix wrong labels
  9. 9.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  10. 10.True or false: “balance the data” helps reduce bias. (a) True (b) False
  11. 11.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  12. 12.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  13. 13.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  14. 14.Which of these adds to bias? (a) add varied examples (b) balance the data (c) ignore complaints (d) fix wrong labels
  15. 15.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  16. 16.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
  17. 17.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  18. 18.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  19. 19.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) add more of the same (d) add varied examples
  20. 20.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) test on many groups (d) use one group only
  21. 21.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) add more of the same (d) skip testing
  22. 22.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  23. 23.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  24. 24.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  25. 25.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  26. 26.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  27. 27.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  28. 28.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) ask different people (d) add more of the same
  29. 29.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
  30. 30.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  31. 31.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
  32. 32.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  33. 33.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) test on many groups (d) check who is missing
  34. 34.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  35. 35.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  36. 36.True or false: “skip testing” helps reduce bias. (a) True (b) False
  37. 37.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  38. 38.True or false: “add varied examples” adds to bias. (a) True (b) False
  39. 39.True or false: “ask different people” helps reduce bias. (a) True (b) False
  40. 40.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) fix wrong labels (d) add varied examples

Answer key

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

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