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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 179 · 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: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  2. 2.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  3. 3.True or false: “balance the data” helps reduce bias. (a) True (b) False
  4. 4.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  5. 5.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) balance the data (d) add varied examples
  6. 6.True or false: “ask different people” helps reduce bias. (a) False (b) True
  7. 7.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  8. 8.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
  9. 9.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  10. 10.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) fix wrong labels (d) ask different people
  11. 11.True or false: “use one group only” helps reduce bias. (a) False (b) True
  12. 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  13. 13.🗣️ 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
  14. 14.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) add varied examples (d) copy old unfair choices
  15. 15.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
  17. 17.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  18. 18.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) test on one group only (d) check who is missing
  19. 19.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  20. 20.True or false: “skip testing” adds to bias. (a) True (b) False
  21. 21.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) check who is missing (d) add varied examples
  22. 22.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on one group only (d) ask different people
  23. 23.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) copy old unfair choices (d) add varied examples
  24. 24.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  26. 26.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
  27. 27.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) test on one group only (d) use one group only
  28. 28.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) skip testing (d) balance the data
  29. 29.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  30. 30.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  31. 31.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  32. 32.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) test on one group only (d) add more of the same
  33. 33.True or false: “skip testing” helps reduce bias. (a) False (b) True
  34. 34.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) copy old unfair choices (d) test on many groups
  35. 35.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  36. 36.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) use one group only (d) ignore complaints
  37. 37.True or false: “check who is missing” 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: “check who is missing” helps reduce bias. (a) True (b) False
  40. 40.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) test on many groups (d) add varied examples

Answer key

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

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