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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 956 · 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 is the odd one out? (a) add more of the same (b) fix wrong labels (c) copy old unfair choices (d) skip testing
  2. 2.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
  3. 3.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  5. 5.Which of these adds to bias? (a) use one group only (b) fix wrong labels (c) test on many groups (d) balance the data
  6. 6.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  7. 7.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  8. 8.True or false: “skip testing” adds to bias. (a) False (b) True
  9. 9.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  10. 10.True or false: “ask different people” adds to bias. (a) True (b) False
  11. 11.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) check who is missing (d) balance the data
  12. 12.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  13. 13.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  14. 14.True or false: “check who is missing” adds to bias. (a) True (b) False
  15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  16. 16.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  17. 17.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  18. 18.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) balance the data (d) test on one group only
  19. 19.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  20. 20.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  22. 22.Which of these helps reduce bias? (a) use one group only (b) fix wrong labels (c) ignore complaints (d) copy old unfair choices
  23. 23.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) add varied examples (d) balance the data
  24. 24.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
  25. 25.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  26. 26.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  27. 27.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
  28. 28.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
  29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  30. 30.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) ask different people
  31. 31.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) ask different people
  32. 32.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  33. 33.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  34. 34.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  35. 35.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) test on many groups (d) skip testing
  36. 36.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  37. 37.True or false: “add varied examples” adds to bias. (a) False (b) True
  38. 38.True or false: “ignore complaints” adds to bias. (a) False (b) True
  39. 39.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) fix wrong labels (d) add varied examples

Answer key

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

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