AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 794 · 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.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
2. 2.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
4. 4.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
5. 5.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
6. 6.Which of these adds to bias? (a) ignore complaints (b) balance the data (c) test on many groups (d) add varied examples
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
8. 8.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
9. 9.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) balance the data (d) test on many groups
10. 10.True or false: “test on one group only” helps reduce bias. (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) test on one group only (d) add more of the same
12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
13. 13.True or false: “use one group only” helps reduce bias. (a) True (b) False
14. 14.True or false: “use one group only” adds to bias. (a) True (b) False
15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
16. 16.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) ignore complaints (d) copy old unfair choices
17. 17.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) test on many groups (d) add varied examples
19. 19.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
21. 21.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
22. 22.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) add more of the same (d) ask different people
24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
25. 25.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) balance the data (d) check who is missing
26. 26.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
27. 27.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) ignore complaints (d) test on one group only
28. 28.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
30. 30.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
31. 31.Which of these adds to bias? (a) test on many groups (b) balance the data (c) use one group only (d) add varied examples
32. 32.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
33. 33.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
34. 34.True or false: “add varied examples” adds to bias. (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) balance the data (b) ignore complaints (c) ask different people (d) test on many groups
36. 36.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
38. 38.True or false: “check who is missing” adds to bias. (a) True (b) False
39. 39.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
40. 40.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only

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