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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 352 · 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: neat and messy writing from many people? (a) balanced data (b) one-sided data
  2. 2.🖼️ 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
  3. 3.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  4. 4.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  5. 5.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  6. 6.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) balance the data (d) fix wrong labels
  7. 7.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  8. 8.True or false: “balance the data” helps reduce bias. (a) False (b) True
  9. 9.Which of these adds to bias? (a) ask different people (b) check who is missing (c) fix wrong labels (d) add more of the same
  10. 10.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  11. 11.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  12. 12.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  13. 13.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  14. 14.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) add varied examples (d) copy old unfair choices
  15. 15.True or false: “balance the data” adds to bias. (a) False (b) True
  16. 16.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) test on many groups (d) fix wrong labels
  17. 17.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  18. 18.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  19. 19.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) ask different people (d) copy old unfair choices
  20. 20.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  21. 21.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  22. 22.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) add more of the same (d) test on many groups
  23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  24. 24.True or false: “use one group only” helps reduce bias. (a) True (b) False
  25. 25.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  26. 26.True or false: “use one group only” adds to bias. (a) True (b) False
  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.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  29. 29.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) check who is missing (d) use one group only
  30. 30.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
  31. 31.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.🔍 Which is the odd one out? (a) balance the data (b) ignore complaints (c) copy old unfair choices (d) use one group only
  33. 33.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  34. 34.Which of these helps reduce bias? (a) balance the data (b) skip testing (c) copy old unfair choices (d) use one group only
  35. 35.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  36. 36.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  37. 37.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  38. 38.True or false: “add more of the same” adds to bias. (a) False (b) True
  39. 39.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  40. 40.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias

Answer key

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

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