AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 70 · 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.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
2. 2.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
3. 3.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) test on one group only (d) balance the data
4. 4.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
7. 7.Which of these adds to bias? (a) copy old unfair choices (b) balance the data (c) test on many groups (d) add varied examples
8. 8.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
9. 9.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) skip testing (d) add more of the same
10. 10.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
11. 11.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
12. 12.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
13. 13.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
15. 15.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
16. 16.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) fix wrong labels (d) add varied examples
17. 17.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) add more of the same (d) fix wrong labels
18. 18.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
19. 19.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
20. 20.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) add more of the same (d) fix wrong labels
21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
22. 22.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) ignore complaints (d) check who is missing
24. 24.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
25. 25.Which of these adds to bias? (a) check who is missing (b) balance the data (c) skip testing (d) ask different people
26. 26.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
27. 27.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
28. 28.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.True or false: “check who is missing” adds to bias. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) use one group only (d) ask different people
31. 31.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
32. 32.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
33. 33.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) ask different people (d) fix wrong labels
35. 35.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) fix wrong labels (d) add more of the same
36. 36.True or false: “check who is missing” helps reduce bias. (a) True (b) False
37. 37.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
38. 38.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) copy old unfair choices (d) ignore complaints
39. 39.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
40. 40.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False

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