AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 221 · 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.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
3. 3.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
4. 4.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) balance the data (d) ignore complaints
5. 5.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
6. 6.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) fix wrong labels (d) add varied examples
7. 7.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
8. 8.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) fix wrong labels (d) ignore complaints
9. 9.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
11. 11.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
12. 12.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
13. 13.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) fix wrong labels (d) ask different people
14. 14.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
16. 16.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
17. 17.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) test on one group only
18. 18.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) test on one group only (d) add more of the same
19. 19.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
20. 20.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) add more of the same (d) test on many groups
21. 21.Which of these helps reduce bias? (a) add more of the same (b) add varied examples (c) skip testing (d) copy old unfair choices
22. 22.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) balance the data (d) skip testing
23. 23.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
24. 24.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
25. 25.True or false: “balance the data” adds to bias. (a) True (b) False
26. 26.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
27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
28. 28.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.Which of these adds to bias? (a) balance the data (b) ask different people (c) skip testing (d) test on many groups
30. 30.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) test on one group only (d) ask different people
31. 31.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) add more of the same (d) test on one group only
32. 32.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) test on one group only (d) use one group only
33. 33.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
34. 34.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
35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
36. 36.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
37. 37.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
38. 38.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
40. 40.Which of these adds to bias? (a) balance the data (b) ignore complaints (c) ask different people (d) fix wrong labels

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