AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 299 · 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 of these adds to bias? (a) check who is missing (b) test on many groups (c) fix wrong labels (d) use one group only
2. 2.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
3. 3.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) test on many groups (d) ignore complaints
4. 4.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
7. 7.True or false: “test on many groups” helps reduce bias. (a) True (b) False
8. 8.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
9. 9.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
10. 10.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) ignore complaints (d) check who is missing
11. 11.Which of these adds to bias? (a) check who is missing (b) ask different people (c) copy old unfair choices (d) fix wrong labels
12. 12.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) add varied examples (d) use one group only
13. 13.Which of these helps reduce bias? (a) fix wrong labels (b) skip testing (c) use one group only (d) test on one group only
14. 14.Which of these adds to bias? (a) balance the data (b) ignore complaints (c) ask different people (d) check who is missing
15. 15.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
16. 16.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
17. 17.True or false: “add more of the same” helps reduce bias. (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
19. 19.True or false: “check who is missing” adds to bias. (a) False (b) True
20. 20.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ask different people (d) ignore complaints
21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
22. 22.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) fix wrong labels (d) copy old unfair choices
23. 23.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.True or false: “test on many groups” adds to bias. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) test on many groups (d) ask different people
26. 26.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
27. 27.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
28. 28.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
29. 29.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
30. 30.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) add varied examples (d) check who is missing
31. 31.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
32. 32.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) add more of the same (d) copy old unfair choices
33. 33.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
34. 34.Which of these adds to bias? (a) ask different people (b) test on many groups (c) test on one group only (d) add varied examples
35. 35.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
36. 36.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) add varied examples (d) fix wrong labels
37. 37.True or false: “ignore complaints” adds to bias. (a) True (b) False
38. 38.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
39. 39.True or false: “test on one group only” helps reduce bias. (a) True (b) False
40. 40.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data

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