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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 576 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
  2. 2.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) fix wrong labels (d) add varied examples
  3. 3.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  4. 4.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  5. 5.True or false: “skip testing” adds to bias. (a) False (b) True
  6. 6.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) add varied examples (d) add more of the same
  7. 7.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) check who is missing (d) add more of the same
  8. 8.True or false: “ask different people” helps reduce bias. (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) fix wrong labels (d) add more of the same
  10. 10.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
  11. 11.Which of these helps reduce bias? (a) add varied examples (b) ignore complaints (c) use one group only (d) test on one group only
  12. 12.True or false: “use one group only” adds to bias. (a) True (b) False
  13. 13.True or false: “ask different people” adds to bias. (a) False (b) True
  14. 14.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) test on many groups (d) ask different people
  15. 15.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  16. 16.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  17. 17.Which of these adds to bias? (a) ask different people (b) check who is missing (c) test on one group only (d) add varied examples
  18. 18.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  19. 19.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  20. 20.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  21. 21.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  22. 22.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  23. 23.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) add varied examples (d) test on many groups
  24. 24.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) ask different people (d) copy old unfair choices
  25. 25.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  26. 26.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  27. 27.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  28. 28.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  29. 29.True or false: “add more of the same” adds to bias. (a) True (b) False
  30. 30.True or false: “balance the data” adds to bias. (a) True (b) False
  31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  32. 32.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) add more of the same (d) use one group only
  33. 33.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  34. 34.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  35. 35.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  36. 36.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) add varied examples (d) use one group only
  37. 37.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  38. 38.True or false: “use one group only” helps reduce bias. (a) True (b) False
  39. 39.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  40. 40.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast

Answer key

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

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