AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 180 · 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: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
2. 2.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) copy old unfair choices (d) test on one group only
4. 4.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
5. 5.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
6. 6.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
7. 7.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
8. 8.🗣️ 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) children speak too fast (d) it was a rainy day
9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) balance the data (d) copy old unfair choices
10. 10.True or false: “skip testing” helps reduce bias. (a) True (b) False
11. 11.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
13. 13.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) add varied examples (d) ignore complaints
14. 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
15. 15.Which of these helps reduce bias? (a) ask different people (b) copy old unfair choices (c) use one group only (d) skip testing
16. 16.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) add varied examples (d) ignore complaints
17. 17.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.Which of these adds to bias? (a) balance the data (b) skip testing (c) add varied examples (d) check who is missing
19. 19.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
20. 20.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
21. 21.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
22. 22.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
23. 23.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
24. 24.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) copy old unfair choices (d) ignore complaints
26. 26.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
28. 28.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) copy old unfair choices (d) fix wrong labels
29. 29.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
30. 30.Which of these adds to bias? (a) test on one group only (b) check who is missing (c) fix wrong labels (d) ask different people
31. 31.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
32. 32.True or false: “check who is missing” adds to bias. (a) True (b) False
33. 33.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
34. 34.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
35. 35.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
36. 36.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
37. 37.True or false: “use one group only” adds to bias. (a) False (b) True
38. 38.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
40. 40.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) test on many groups (d) add more of the same

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