AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 300 · 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.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
2. 2.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
3. 3.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) check who is missing (d) fix wrong labels
4. 4.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
5. 5.🗣️ 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
6. 6.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
8. 8.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) copy old unfair choices (d) balance the data
9. 9.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
10. 10.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
11. 11.Which of these adds to bias? (a) balance the data (b) ignore complaints (c) fix wrong labels (d) check who is missing
12. 12.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
13. 13.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
15. 15.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) add varied examples (d) balance the data
16. 16.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
17. 17.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
18. 18.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
19. 19.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
20. 20.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
21. 21.Which of these adds to bias? (a) ask different people (b) add more of the same (c) fix wrong labels (d) check who is missing
22. 22.🖼️ 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
23. 23.True or false: “test on many groups” helps reduce bias. (a) True (b) False
24. 24.True or false: “skip testing” adds to bias. (a) False (b) True
25. 25.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
26. 26.True or false: “check who is missing” helps reduce bias. (a) False (b) True
27. 27.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
28. 28.Which of these adds to bias? (a) test on many groups (b) ask different people (c) use one group only (d) balance the data
29. 29.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.True or false: “test on many groups” adds to bias. (a) True (b) False
31. 31.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
32. 32.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
33. 33.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
34. 34.True or false: “test on one group only” adds to bias. (a) True (b) False
35. 35.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
36. 36.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) fix wrong labels (d) ignore complaints
37. 37.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) check who is missing (d) test on many groups
38. 38.True or false: “ask different people” helps reduce bias. (a) False (b) True
39. 39.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) add more of the same (d) test on one group only

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