AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 697 · 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: photos of people from only one age group? (a) balanced data (b) one-sided data
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
3. 3.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
4. 4.True or false: “test on one group only” adds to bias. (a) True (b) False
5. 5.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
6. 6.True or false: “skip testing” helps reduce bias. (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) use one group only (d) copy old unfair choices
8. 8.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
9. 9.Which of these adds to bias? (a) skip testing (b) balance the data (c) add varied examples (d) test on many groups
10. 10.True or false: “ask different people” adds to bias. (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) skip testing (d) test on one group only
12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
13. 13.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) fix wrong labels (d) skip testing
14. 14.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
15. 15.True or false: “use one group only” adds to bias. (a) False (b) True
16. 16.Which of these adds to bias? (a) add more of the same (b) test on many groups (c) add varied examples (d) fix wrong labels
17. 17.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
18. 18.Which of these adds to bias? (a) check who is missing (b) use one group only (c) ask different people (d) balance the data
19. 19.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) copy old unfair choices (d) balance the data
20. 20.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
21. 21.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
23. 23.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
24. 24.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
25. 25.True or false: “add varied examples” adds to bias. (a) False (b) True
26. 26.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) add varied examples (d) ignore complaints
28. 28.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
29. 29.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
30. 30.Which of these adds to bias? (a) ask different people (b) balance the data (c) ignore complaints (d) check who is missing
31. 31.Which of these adds to bias? (a) test on one group only (b) balance the data (c) check who is missing (d) fix wrong labels
32. 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
33. 33.True or false: “test on one group only” helps reduce bias. (a) False (b) True
34. 34.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
35. 35.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
36. 36.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) use one group only (d) check who is missing
37. 37.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) check who is missing (d) balance the data
38. 38.True or false: “add varied examples” helps reduce bias. (a) True (b) False
39. 39.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
40. 40.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False

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