AI Bias Worksheet for Kids

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

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