AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 359 · 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.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
2. 2.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
3. 3.True or false: “use one group only” adds to bias. (a) False (b) True
4. 4.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
5. 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
6. 6.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) use one group only (d) skip testing
7. 7.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
8. 8.True or false: “test on one group only” helps reduce bias. (a) False (b) True
9. 9.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
10. 10.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) test on many groups (d) use one group only
11. 11.Which of these adds to bias? (a) fix wrong labels (b) skip testing (c) balance the data (d) add varied examples
12. 12.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
13. 13.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
14. 14.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
15. 15.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
17. 17.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
18. 18.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
19. 19.Which of these adds to bias? (a) test on many groups (b) ask different people (c) balance the data (d) copy old unfair choices
20. 20.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
21. 21.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) add more of the same (d) ask different people
22. 22.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
23. 23.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
25. 25.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) add varied examples (d) add more of the same
26. 26.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on one group only (d) add varied examples
27. 27.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
28. 28.True or false: “ask different people” helps reduce bias. (a) False (b) True
29. 29.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
30. 30.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.True or false: “test on one group only” adds to bias. (a) False (b) True
32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
33. 33.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) balance the data (d) fix wrong labels
34. 34.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) copy old unfair choices (d) add varied examples
35. 35.Which of these adds to bias? (a) check who is missing (b) balance the data (c) ignore complaints (d) test on many groups
36. 36.True or false: “ask different people” adds to bias. (a) True (b) False
37. 37.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
38. 38.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) test on many groups (d) check who is missing
40. 40.Which of these adds to bias? (a) balance the data (b) test on many groups (c) use one group only (d) fix wrong labels

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