AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 479 · 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: stories with doctors of every gender? (a) one-sided data (b) balanced data
2. 2.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) ask different people (d) check who is missing
3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
4. 4.True or false: “use one group only” helps reduce bias. (a) True (b) False
5. 5.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
7. 7.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
8. 8.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) add more of the same (d) balance the data
9. 9.Which of these adds to bias? (a) balance the data (b) ask different people (c) test on many groups (d) add more of the same
10. 10.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
11. 11.Which of these adds to bias? (a) ask different people (b) test on many groups (c) copy old unfair choices (d) add varied examples
12. 12.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) copy old unfair choices (d) add more of the same
13. 13.Which of these adds to bias? (a) use one group only (b) test on many groups (c) balance the data (d) add varied examples
14. 14.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) add more of the same (d) check who is missing
15. 15.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
16. 16.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.True or false: “fix wrong labels” adds to bias. (a) True (b) False
18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
19. 19.True or false: “test on one group only” helps reduce bias. (a) True (b) False
20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
21. 21.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
22. 22.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
23. 23.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
24. 24.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
25. 25.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) test on one group only (d) add varied examples
26. 26.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
27. 27.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
28. 28.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
29. 29.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
31. 31.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
32. 32.True or false: “balance the data” adds to bias. (a) True (b) False
33. 33.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
35. 35.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) balance the data (d) test on one group only
37. 37.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
38. 38.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
39. 39.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) ignore complaints (d) skip testing
40. 40.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias

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