AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 501 · 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 fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
2. 2.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
3. 3.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
4. 4.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
6. 6.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) test on many groups (d) balance the data
7. 7.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
8. 8.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
10. 10.Which of these adds to bias? (a) skip testing (b) test on many groups (c) fix wrong labels (d) ask different people
11. 11.Which of these helps reduce bias? (a) ask different people (b) use one group only (c) test on one group only (d) skip testing
12. 12.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
13. 13.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
14. 14.Which of these adds to bias? (a) add varied examples (b) use one group only (c) test on many groups (d) check who is missing
15. 15.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
16. 16.True or false: “test on many groups” adds to bias. (a) True (b) False
17. 17.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.Which of these adds to bias? (a) balance the data (b) check who is missing (c) test on one group only (d) ask different people
19. 19.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
20. 20.True or false: “fix wrong labels” adds to bias. (a) True (b) False
21. 21.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) test on many groups (d) add more of the same
22. 22.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
23. 23.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) balance the data (d) test on many groups
24. 24.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
26. 26.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
28. 28.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) fix wrong labels (d) add more of the same
29. 29.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.True or false: “use one group only” adds to bias. (a) True (b) False
31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
32. 32.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
34. 34.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) use one group only (d) copy old unfair choices
35. 35.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
36. 36.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) fix wrong labels
37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) test on one group only (d) check who is missing
39. 39.True or false: “skip testing” helps reduce bias. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) use one group only (d) test on many groups

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