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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 277 · 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: “fix wrong labels” helps reduce bias. (a) True (b) False
  2. 2.True or false: “ask different people” helps reduce bias. (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) ask different people (d) ignore complaints
  4. 4.True or false: “test on one group only” adds to bias. (a) True (b) False
  5. 5.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  6. 6.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  7. 7.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  8. 8.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
  10. 10.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  11. 11.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  12. 12.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  13. 13.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  14. 14.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) add more of the same
  15. 15.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  16. 16.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  17. 17.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) ignore complaints (d) use one group only
  18. 18.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  19. 19.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) test on one group only (d) ignore complaints
  20. 20.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) add varied examples (d) ignore complaints
  21. 21.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  22. 22.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
  23. 23.Which of these adds to bias? (a) ask different people (b) test on many groups (c) add more of the same (d) add varied examples
  24. 24.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  25. 25.Which of these adds to bias? (a) check who is missing (b) test on one group only (c) balance the data (d) test on many groups
  26. 26.Which of these adds to bias? (a) use one group only (b) balance the data (c) ask different people (d) test on many groups
  27. 27.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) add more of the same (d) ask different people
  28. 28.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  29. 29.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  30. 30.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
  31. 31.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  32. 32.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  33. 33.True or false: “balance the data” adds to bias. (a) False (b) True
  34. 34.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  36. 36.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  37. 37.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  38. 38.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) check who is missing (d) test on one group only
  39. 39.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  40. 40.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) balance the data (d) test on one group only

Answer key

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

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