AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 484 · 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.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
2. 2.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
4. 4.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) ignore complaints (d) test on one group only
6. 6.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) add more of the same (d) balance the data
7. 7.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
8. 8.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) copy old unfair choices (d) ignore complaints
9. 9.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
10. 10.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
11. 11.Which of these adds to bias? (a) skip testing (b) check who is missing (c) ask different people (d) add varied examples
12. 12.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
14. 14.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
15. 15.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) balance the data (d) use one group only
16. 16.True or false: “use one group only” adds to bias. (a) True (b) False
17. 17.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
19. 19.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
21. 21.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
22. 22.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
23. 23.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (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) balance the data (d) add varied examples
25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
26. 26.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
27. 27.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) ignore complaints (d) balance the data
28. 28.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
30. 30.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) use one group only (d) copy old unfair choices
31. 31.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) skip testing (d) test on one group only
32. 32.True or false: “test on many groups” helps reduce bias. (a) False (b) True
33. 33.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) ask different people (d) use one group only
34. 34.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
35. 35.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
36. 36.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
37. 37.True or false: “ask different people” helps reduce bias. (a) False (b) True
38. 38.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
39. 39.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) test on many groups (d) test on one group only
40. 40.Which of these adds to bias? (a) fix wrong labels (b) add more of the same (c) test on many groups (d) check who is missing

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