AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 627 · 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.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
2. 2.True or false: “fix wrong labels” adds to bias. (a) True (b) False
3. 3.True or false: “check who is missing” adds to bias. (a) True (b) False
4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
5. 5.True or false: “ask different people” adds to bias. (a) False (b) True
6. 6.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) skip testing (d) use one group only
8. 8.Which of these helps reduce bias? (a) test on many groups (b) test on one group only (c) copy old unfair choices (d) ignore complaints
9. 9.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
10. 10.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
11. 11.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) copy old unfair choices (d) add more of the same
12. 12.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) copy old unfair choices
13. 13.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
14. 14.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
15. 15.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
16. 16.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
17. 17.Which of these helps reduce bias? (a) ignore complaints (b) balance the data (c) test on one group only (d) skip testing
18. 18.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on one group only (d) test on many groups
19. 19.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
21. 21.Which of these helps reduce bias? (a) test on one group only (b) add varied examples (c) skip testing (d) use one group only
22. 22.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) check who is missing (d) use one group only
23. 23.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
24. 24.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
26. 26.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) test on many groups (d) add varied examples
27. 27.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
28. 28.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) ignore complaints (d) fix wrong labels
29. 29.Which of these adds to bias? (a) add varied examples (b) ignore complaints (c) fix wrong labels (d) test on many groups
30. 30.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
31. 31.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) fix wrong labels
32. 32.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) ask different people (d) add varied examples
33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
34. 34.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) balance the data (d) add more of the same
36. 36.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
37. 37.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
38. 38.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
40. 40.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias

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