AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 609 · 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: skip testing? (a) reduces bias (b) adds to bias
2. 2.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) test on many groups (d) check who is missing
3. 3.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
4. 4.True or false: “test on many groups” adds to bias. (a) False (b) True
5. 5.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) add more of the same (d) test on many groups
6. 6.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
8. 8.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
10. 10.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
11. 11.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) balance the data (d) add more of the same
12. 12.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
13. 13.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
14. 14.True or false: “test on one group only” adds to bias. (a) True (b) False
15. 15.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
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: neat and messy writing from many people? (a) one-sided data (b) balanced data
18. 18.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
19. 19.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
20. 20.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.🖼️ 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
22. 22.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) test on one group only (d) use one group only
23. 23.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.True or false: “test on many groups” helps reduce bias. (a) False (b) True
25. 25.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) test on many groups (d) add more of the same
26. 26.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
27. 27.True or false: “ask different people” helps reduce bias. (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
29. 29.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add varied examples (d) use one group only
30. 30.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) ignore complaints (d) check who is missing
31. 31.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) use one group only (d) test on one group only
32. 32.Which of these adds to bias? (a) ignore complaints (b) ask different people (c) add varied examples (d) check who is missing
33. 33.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
34. 34.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
35. 35.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
36. 36.True or false: “ask different people” adds to bias. (a) False (b) True
37. 37.Which of these adds to bias? (a) copy old unfair choices (b) test on many groups (c) add varied examples (d) balance the data
38. 38.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
39. 39.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
40. 40.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True

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