AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 583 · 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) test on many groups (b) ask different people (c) add more of the same (d) balance the data
2. 2.Which of these helps reduce bias? (a) ignore complaints (b) test on many groups (c) use one group only (d) skip testing
3. 3.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
4. 4.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
5. 5.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
6. 6.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
7. 7.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
8. 8.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
9. 9.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) add varied examples (d) ignore complaints
10. 10.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
11. 11.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
12. 12.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
13. 13.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
14. 14.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
15. 15.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
16. 16.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) check who is missing (d) test on one group only
17. 17.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
18. 18.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
19. 19.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) use one group only (d) check who is missing
20. 20.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
21. 21.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
22. 22.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
23. 23.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
24. 24.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
25. 25.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
26. 26.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) check who is missing (d) test on one group only
27. 27.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) balance the data (d) add varied examples
28. 28.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) use one group only (d) test on many groups
29. 29.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) balance the data (d) copy old unfair choices
30. 30.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) ask different people (d) add varied examples
31. 31.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
32. 32.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
33. 33.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
34. 34.True or false: “check who is missing” adds to bias. (a) False (b) True
35. 35.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
36. 36.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) use one group only (d) copy old unfair choices
37. 37.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) copy old unfair choices (d) test on one group only
38. 38.True or false: “use one group only” helps reduce bias. (a) True (b) False
39. 39.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias

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