AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 355 · 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 screen size (b) its colour (c) the weather (d) its training data
2. 2.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
3. 3.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
4. 4.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) test on one group only (d) add varied examples
5. 5.True or false: “check who is missing” adds to bias. (a) True (b) False
6. 6.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) copy old unfair choices
7. 7.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
9. 9.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
10. 10.True or false: “fix wrong labels” adds to bias. (a) True (b) False
11. 11.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
12. 12.🖼️ 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
13. 13.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
14. 14.True or false: “test on one group only” helps reduce bias. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) copy old unfair choices (d) ask different people
16. 16.Which of these adds to bias? (a) balance the data (b) add varied examples (c) use one group only (d) check who is missing
17. 17.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
18. 18.Which of these helps reduce bias? (a) ignore complaints (b) test on many groups (c) copy old unfair choices (d) add more of the same
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: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.True or false: “ignore complaints” adds to bias. (a) False (b) True
22. 22.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.True or false: “ask different people” helps reduce bias. (a) False (b) True
24. 24.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) test on one group only (d) check who is missing
25. 25.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) skip testing (d) add varied examples
26. 26.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) add more of the same (d) test on many groups
27. 27.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) ignore complaints (d) balance the data
28. 28.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.Which of these adds to bias? (a) copy old unfair choices (b) test on many groups (c) balance the data (d) add varied examples
30. 30.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
31. 31.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) balance the data (d) ignore complaints
32. 32.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) check who is missing (d) test on many groups
33. 33.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) add more of the same (d) fix wrong labels
34. 34.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
35. 35.True or false: “add more of the same” helps reduce bias. (a) False (b) True
36. 36.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) use one group only (d) ignore complaints
37. 37.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
38. 38.True or false: “use one group only” helps reduce bias. (a) False (b) True
39. 39.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
40. 40.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) check who is missing (d) add more of the same

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