AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 892 · 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 is the odd one out? (a) test on many groups (b) ignore complaints (c) check who is missing (d) balance the data
2. 2.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) add more of the same (d) fix wrong labels
4. 4.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) ask different people (d) add varied examples
5. 5.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
6. 6.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
7. 7.Which of these adds to bias? (a) skip testing (b) test on many groups (c) balance the data (d) add varied examples
8. 8.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) add more of the same
9. 9.True or false: “add varied examples” helps reduce bias. (a) False (b) True
10. 10.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) use one group only (d) balance the data
12. 12.🖼️ 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
13. 13.Which of these adds to bias? (a) add varied examples (b) balance the data (c) ask different people (d) test on one group only
14. 14.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
15. 15.True or false: “test on one group only” adds to bias. (a) True (b) False
16. 16.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
17. 17.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
18. 18.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
19. 19.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
20. 20.True or false: “skip testing” helps reduce bias. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) test on many groups (d) balance the data
22. 22.True or false: “use one group only” adds to bias. (a) True (b) False
23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
24. 24.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
25. 25.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) add varied examples (d) fix wrong labels
27. 27.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
28. 28.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) balance the data (d) copy old unfair choices
29. 29.Which of these helps reduce bias? (a) add varied examples (b) add more of the same (c) test on one group only (d) use one group only
30. 30.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
31. 31.True or false: “test on one group only” helps reduce bias. (a) True (b) False
32. 32.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) add more of the same (d) copy old unfair choices
33. 33.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) add varied examples
34. 34.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
35. 35.True or false: “check who is missing” adds to bias. (a) False (b) True
36. 36.Which of these adds to bias? (a) test on many groups (b) ask different people (c) add more of the same (d) balance the data
37. 37.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
38. 38.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
40. 40.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) skip testing (d) check who is missing

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