AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 143 · 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.🖼️ 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
2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
3. 3.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
4. 4.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) add varied examples (d) test on one group only
5. 5.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
7. 7.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
8. 8.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
9. 9.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
10. 10.True or false: “use one group only” helps reduce bias. (a) True (b) False
11. 11.Which of these helps reduce bias? (a) add more of the same (b) fix wrong labels (c) skip testing (d) ignore complaints
12. 12.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
13. 13.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
14. 14.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
15. 15.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
16. 16.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.True or false: “test on many groups” adds to bias. (a) False (b) True
18. 18.Which of these adds to bias? (a) use one group only (b) check who is missing (c) add varied examples (d) fix wrong labels
19. 19.True or false: “test on one group only” adds to bias. (a) True (b) False
20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
21. 21.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) ignore complaints (d) balance the data
22. 22.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) ask different people (d) fix wrong labels
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.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
25. 25.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
26. 26.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
27. 27.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) use one group only (d) balance the data
28. 28.Which of these adds to bias? (a) add varied examples (b) ask different people (c) copy old unfair choices (d) balance the data
29. 29.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) check who is missing (d) add varied examples
30. 30.True or false: “ask different people” adds to bias. (a) True (b) False
31. 31.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) ignore complaints (d) copy old unfair choices
32. 32.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
33. 33.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
34. 34.True or false: “balance the data” adds to bias. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) add varied examples (d) test on one group only
36. 36.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
37. 37.True or false: “ask different people” helps reduce bias. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) copy old unfair choices (d) check who is missing
39. 39.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
40. 40.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) copy old unfair choices (d) test on many groups

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