AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 272 · 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 one group only? (a) reduces bias (b) adds to bias
2. 2.True or false: “check who is missing” helps reduce bias. (a) False (b) True
3. 3.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
4. 4.True or false: “test on many groups” adds to bias. (a) False (b) True
5. 5.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
6. 6.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
7. 7.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
8. 8.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) balance the data (d) test on one group only
10. 10.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
11. 11.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) copy old unfair choices (d) skip testing
12. 12.True or false: “add more of the same” helps reduce bias. (a) True (b) False
13. 13.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) copy old unfair choices (d) fix wrong labels
15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
16. 16.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
17. 17.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
18. 18.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
20. 20.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
21. 21.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
22. 22.True or false: “test on many groups” helps reduce bias. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) ignore complaints (d) balance the data
24. 24.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
25. 25.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
26. 26.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
27. 27.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
28. 28.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) fix wrong labels (d) test on one group only
29. 29.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
30. 30.True or false: “use one group only” adds to bias. (a) True (b) False
31. 31.Which of these helps reduce bias? (a) skip testing (b) add varied examples (c) test on one group only (d) copy old unfair choices
32. 32.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) add varied examples (d) use one group only
33. 33.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) skip testing (d) check who is missing
34. 34.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) ignore complaints (d) ask different people
35. 35.Which of these adds to bias? (a) add varied examples (b) ask different people (c) fix wrong labels (d) add more of the same
36. 36.True or false: “add more of the same” adds to bias. (a) True (b) False
37. 37.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) fix wrong labels (d) copy old unfair choices
38. 38.Which of these adds to bias? (a) ignore complaints (b) check who is missing (c) test on many groups (d) fix wrong labels
39. 39.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
40. 40.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) add more of the same (d) test on many groups

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