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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 890 · 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: “check who is missing” helps reduce bias. (a) False (b) True
  2. 2.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) check who is missing (d) test on many groups
  3. 3.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  4. 4.🖼️ 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
  5. 5.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  6. 6.Which of these adds to bias? (a) balance the data (b) add varied examples (c) ask different people (d) add more of the same
  7. 7.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
  8. 8.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  9. 9.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) add varied examples (d) skip testing
  10. 10.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  11. 11.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  12. 12.True or false: “skip testing” helps reduce bias. (a) True (b) False
  13. 13.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  14. 14.Which of these helps reduce bias? (a) test on many groups (b) skip testing (c) add more of the same (d) test on one group only
  15. 15.True or false: “use one group only” adds to bias. (a) True (b) False
  16. 16.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  17. 17.🗣️ 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
  18. 18.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  19. 19.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  20. 20.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  21. 21.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  22. 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  23. 23.True or false: “ask different people” helps reduce bias. (a) False (b) True
  24. 24.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) copy old unfair choices (d) balance the data
  25. 25.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  26. 26.Which of these adds to bias? (a) test on many groups (b) ask different people (c) test on one group only (d) add varied examples
  27. 27.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  28. 28.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  29. 29.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) balance the data (d) add more of the same
  30. 30.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  31. 31.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  32. 32.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  33. 33.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
  34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  35. 35.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  36. 36.Which of these adds to bias? (a) ask different people (b) skip testing (c) test on many groups (d) add varied examples
  37. 37.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  38. 38.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) ignore complaints (d) use one group only
  40. 40.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias

Answer key

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

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