AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 618 · 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 helps reduce bias? (a) skip testing (b) ignore complaints (c) ask different people (d) add more of the same
2. 2.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
3. 3.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
5. 5.Which of these adds to bias? (a) balance the data (b) add varied examples (c) use one group only (d) test on many groups
6. 6.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) check who is missing (d) balance the data
7. 7.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
8. 8.Which of these helps reduce bias? (a) test on many groups (b) use one group only (c) test on one group only (d) ignore complaints
9. 9.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
10. 10.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
11. 11.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
12. 12.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
13. 13.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) copy old unfair choices (d) add more of the same
14. 14.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
15. 15.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
17. 17.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) ask different people (d) ignore complaints
18. 18.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
19. 19.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
20. 20.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) balance the data (d) add more of the same
21. 21.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.True or false: “test on many groups” adds to bias. (a) False (b) True
23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
24. 24.Which of these adds to bias? (a) add more of the same (b) test on many groups (c) add varied examples (d) balance the data
25. 25.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
26. 26.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) use one group only (d) skip testing
27. 27.True or false: “use one group only” adds to bias. (a) False (b) True
28. 28.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) copy old unfair choices (d) add varied examples
29. 29.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) check who is missing (d) test on many groups
30. 30.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
31. 31.True or false: “use one group only” helps reduce bias. (a) True (b) False
32. 32.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) check who is missing (d) fix wrong labels
33. 33.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) balance the data (d) test on many groups
35. 35.Which of these adds to bias? (a) ask different people (b) skip testing (c) balance the data (d) add varied examples
36. 36.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
37. 37.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) test on many groups (d) add more of the same
38. 38.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) ignore complaints (d) test on one group only
39. 39.True or false: “ignore complaints” adds to bias. (a) True (b) False
40. 40.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True

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