AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 599 · 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) test on one group only (b) ask different people (c) use one group only (d) skip testing
2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
3. 3.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
4. 4.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
7. 7.True or false: “test on one group only” adds to bias. (a) False (b) True
8. 8.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
9. 9.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
10. 10.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
11. 11.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) test on many groups (d) balance the data
12. 12.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
13. 13.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) ignore complaints (d) balance the data
14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
15. 15.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
16. 16.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
17. 17.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
19. 19.Which of these adds to bias? (a) ask different people (b) skip testing (c) test on many groups (d) check who is missing
20. 20.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) add varied examples (d) copy old unfair choices
21. 21.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) balance the data (d) fix wrong labels
22. 22.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
23. 23.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
24. 24.Which of these adds to bias? (a) test on one group only (b) ask different people (c) test on many groups (d) fix wrong labels
25. 25.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) ignore complaints (d) check who is missing
26. 26.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
27. 27.True or false: “test on many groups” helps reduce bias. (a) True (b) False
28. 28.True or false: “ask different people” adds to bias. (a) True (b) False
29. 29.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
30. 30.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) fix wrong labels (d) skip testing
31. 31.True or false: “check who is missing” adds to bias. (a) True (b) False
32. 32.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
33. 33.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) skip testing (d) use one group only
34. 34.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
35. 35.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
36. 36.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) add varied examples (d) skip testing
37. 37.True or false: “skip testing” adds to bias. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) add more of the same (d) test on many groups
39. 39.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
40. 40.Which of these adds to bias? (a) test on many groups (b) ignore complaints (c) add varied examples (d) balance the data

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