← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 491 · 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.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) test on many groups (d) test on one group only
  2. 2.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  3. 3.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) test on many groups (d) skip testing
  4. 4.True or false: “ignore complaints” adds to bias. (a) False (b) True
  5. 5.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
  6. 6.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  7. 7.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  8. 8.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
  9. 9.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) fix wrong labels (d) add varied examples
  10. 10.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  11. 11.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  12. 12.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
  14. 14.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) ask different people (d) use one group only
  15. 15.True or false: “use one group only” adds to bias. (a) False (b) True
  16. 16.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) test on many groups (d) copy old unfair choices
  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) test on many groups (b) add varied examples (c) check who is missing (d) test on one group only
  19. 19.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
  20. 20.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) balance the data (d) ignore complaints
  21. 21.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  22. 22.True or false: “ask different people” adds to bias. (a) False (b) True
  23. 23.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) add more of the same (d) balance the data
  24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) check who is missing (d) add varied examples
  27. 27.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
  28. 28.🗣️ 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) children speak too fast (d) few child voices in data
  29. 29.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  30. 30.True or false: “skip testing” adds to bias. (a) False (b) True
  31. 31.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  32. 32.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  33. 33.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  34. 34.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  35. 35.Which of these adds to bias? (a) check who is missing (b) balance the data (c) skip testing (d) fix wrong labels
  36. 36.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  37. 37.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  38. 38.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  39. 39.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) add more of the same (d) check who is missing
  40. 40.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) add varied examples (d) ignore complaints

Answer key

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

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students