AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 980 · 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 handwriting app shown only neat writing? (a) one-sided data (b) balanced data
2. 2.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
3. 3.Which of these adds to bias? (a) check who is missing (b) copy old unfair choices (c) add varied examples (d) balance the data
4. 4.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
5. 5.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
6. 6.Which of these adds to bias? (a) test on many groups (b) skip testing (c) balance the data (d) add varied examples
7. 7.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
8. 8.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
9. 9.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
10. 10.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
11. 11.True or false: “ask different people” adds to bias. (a) True (b) False
12. 12.True or false: “test on many groups” helps reduce bias. (a) False (b) True
13. 13.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
14. 14.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
15. 15.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
16. 16.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
18. 18.Which of these helps reduce bias? (a) test on many groups (b) ignore complaints (c) add more of the same (d) use one group only
19. 19.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) balance the data (d) use one group only
20. 20.Which of these adds to bias? (a) use one group only (b) check who is missing (c) test on many groups (d) add varied examples
21. 21.True or false: “use one group only” helps reduce bias. (a) True (b) False
22. 22.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
23. 23.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.Which of these adds to bias? (a) ask different people (b) balance the data (c) check who is missing (d) add more of the same
25. 25.True or false: “test on one group only” 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: check who is missing? (a) adds to bias (b) reduces bias
28. 28.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
29. 29.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
31. 31.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
32. 32.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
33. 33.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
34. 34.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) add more of the same (d) fix wrong labels
35. 35.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
36. 36.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
37. 37.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
38. 38.True or false: “skip testing” adds to bias. (a) True (b) False
39. 39.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
40. 40.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) skip testing (d) balance the data

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