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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 525 · 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: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  2. 2.True or false: “use one group only” helps reduce bias. (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) fix wrong labels (d) add more of the same
  4. 4.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) test on one group only
  5. 5.True or false: “ignore complaints” adds to bias. (a) False (b) True
  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.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
  9. 9.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  10. 10.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  11. 11.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  12. 12.Which of these helps reduce bias? (a) ask different people (b) skip testing (c) add more of the same (d) test on one group only
  13. 13.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) ask different people (d) add varied examples
  14. 14.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  15. 15.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) ignore complaints (d) use one group only
  16. 16.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) add varied examples (d) balance the data
  17. 17.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  18. 18.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) use one group only (d) ignore complaints
  19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
  20. 20.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  21. 21.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  22. 22.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  23. 23.True or false: “test on many groups” adds to bias. (a) False (b) True
  24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  25. 25.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  26. 26.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) test on many groups (d) use one group only
  27. 27.True or false: “check who is missing” adds to bias. (a) True (b) False
  28. 28.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  30. 30.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  31. 31.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  32. 32.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  33. 33.True or false: “skip testing” adds to bias. (a) True (b) False
  34. 34.Which of these helps reduce bias? (a) test on one group only (b) add varied examples (c) use one group only (d) ignore complaints
  35. 35.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  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: “ask different people” adds to bias. (a) False (b) True
  38. 38.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) fix wrong labels (d) add varied examples
  39. 39.True or false: “ask different people” helps reduce bias. (a) False (b) True
  40. 40.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True

Answer key

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

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