AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 371 · 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.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
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
3. 3.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
5. 5.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
6. 6.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
7. 7.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) test on many groups (d) copy old unfair choices
8. 8.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
9. 9.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) add varied examples (d) check who is missing
10. 10.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) use one group only (d) fix wrong labels
11. 11.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
12. 12.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
13. 13.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
15. 15.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) test on one group only (d) add varied examples
16. 16.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) ignore complaints (d) balance the data
17. 17.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
18. 18.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
19. 19.True or false: “fix wrong labels” adds to bias. (a) True (b) False
20. 20.True or false: “test on one group only” adds to bias. (a) True (b) False
21. 21.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
22. 22.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
23. 23.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
24. 24.Which of these adds to bias? (a) test on many groups (b) balance the data (c) fix wrong labels (d) use one group only
25. 25.True or false: “test on one group only” helps reduce bias. (a) True (b) False
26. 26.🗣️ 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
27. 27.True or false: “add varied examples” helps reduce bias. (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
29. 29.True or false: “balance the data” helps reduce bias. (a) False (b) True
30. 30.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) test on many groups (d) copy old unfair choices
31. 31.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
32. 32.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) use one group only (d) ignore complaints
33. 33.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) balance the data (d) ask different people
34. 34.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) test on one group only (d) ask different people
36. 36.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
38. 38.True or false: “skip testing” helps reduce bias. (a) False (b) True
39. 39.Which of these helps reduce bias? (a) test on many groups (b) use one group only (c) skip testing (d) copy old unfair choices
40. 40.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data

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