AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 529 · 40 questions

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.

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

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