AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 580 · 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.Which of these adds to bias? (a) balance the data (b) add varied examples (c) check who is missing (d) skip testing
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
3. 3.True or false: “add varied examples” adds to bias. (a) False (b) True
4. 4.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) ask different people (d) skip testing
5. 5.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
6. 6.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
7. 7.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
8. 8.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
9. 9.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
10. 10.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
11. 11.True or false: “check who is missing” helps reduce bias. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) ignore complaints (d) copy old unfair choices
13. 13.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.Which of these helps reduce bias? (a) check who is missing (b) ignore complaints (c) test on one group only (d) copy old unfair choices
15. 15.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
16. 16.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
18. 18.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) balance the data (d) ignore complaints
20. 20.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) test on one group only (d) test on many groups
21. 21.True or false: “ask different people” helps reduce bias. (a) True (b) False
22. 22.True or false: “ignore complaints” adds to bias. (a) False (b) True
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: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
25. 25.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
26. 26.🖼️ 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
27. 27.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) check who is missing (d) test on many groups
28. 28.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
29. 29.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
30. 30.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
31. 31.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
32. 32.True or false: “fix wrong labels” adds to bias. (a) False (b) True
33. 33.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) copy old unfair choices
34. 34.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
35. 35.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) check who is missing (d) use one group only
36. 36.Which of these adds to bias? (a) ignore complaints (b) ask different people (c) test on many groups (d) fix wrong labels
37. 37.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) skip testing (d) check who is missing
39. 39.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
40. 40.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias

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