AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 153 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
2. 2.🗣️ 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) it was a rainy day (d) the phone was new
3. 3.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
4. 4.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) ask different people (d) balance the data
5. 5.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
6. 6.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
7. 7.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) use one group only (d) copy old unfair choices
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
10. 10.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) add more of the same (d) fix wrong labels
11. 11.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) use one group only (d) copy old unfair choices
12. 12.Which of these helps reduce bias? (a) test on many groups (b) skip testing (c) ignore complaints (d) copy old unfair choices
13. 13.True or false: “add varied examples” adds to bias. (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) ask different people (d) balance the data
15. 15.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
17. 17.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) ask different people (d) fix wrong labels
18. 18.True or false: “test on one group only” helps reduce bias. (a) False (b) True
19. 19.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
20. 20.True or false: “ask different people” helps reduce bias. (a) True (b) False
21. 21.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
22. 22.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) ignore complaints (d) test on one group only
23. 23.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
26. 26.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) test on one group only (d) skip testing
27. 27.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
28. 28.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
29. 29.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
30. 30.True or false: “test on many groups” adds to bias. (a) False (b) True
31. 31.Which of these adds to bias? (a) add more of the same (b) add varied examples (c) test on many groups (d) check who is missing
32. 32.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) copy old unfair choices
33. 33.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
34. 34.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
35. 35.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
36. 36.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
37. 37.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
38. 38.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) check who is missing (d) skip testing
40. 40.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias

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