AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 65 · 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: “copy old unfair choices” helps reduce bias. (a) True (b) False
2. 2.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) skip testing (d) ask different people
3. 3.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
4. 4.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) test on many groups (d) use one group only
5. 5.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
6. 6.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
7. 7.Which of these adds to bias? (a) use one group only (b) fix wrong labels (c) add varied examples (d) balance the data
8. 8.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
11. 11.True or false: “check who is missing” helps reduce bias. (a) True (b) False
12. 12.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
13. 13.True or false: “balance the data” helps reduce bias. (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) add varied examples (d) ignore complaints
15. 15.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
16. 16.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
17. 17.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
18. 18.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
19. 19.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
20. 20.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
21. 21.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
22. 22.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) skip testing
23. 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
24. 24.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
25. 25.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
26. 26.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) use one group only (d) check who is missing
27. 27.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) ignore complaints (d) ask different people
28. 28.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) use one group only (d) add more of the same
29. 29.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
30. 30.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) add more of the same (d) fix wrong labels
31. 31.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
32. 32.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) balance the data (d) copy old unfair choices
34. 34.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
35. 35.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) copy old unfair choices (d) ignore complaints
36. 36.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) add varied examples (d) balance the data
37. 37.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
38. 38.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
39. 39.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
40. 40.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True

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