AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 527 · 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.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
2. 2.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
5. 5.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
6. 6.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) add more of the same (d) test on many groups
7. 7.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
8. 8.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
9. 9.Which of these adds to bias? (a) balance the data (b) add varied examples (c) ask different people (d) ignore complaints
10. 10.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
11. 11.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) fix wrong labels (d) ignore complaints
12. 12.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
13. 13.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) test on one group only (d) use one group only
14. 14.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) copy old unfair choices (d) balance the data
15. 15.🗣️ 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
16. 16.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) check who is missing
17. 17.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) add more of the same (d) check who is missing
18. 18.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
19. 19.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
20. 20.Which of these adds to bias? (a) test on many groups (b) ask different people (c) test on one group only (d) balance the data
21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
22. 22.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
23. 23.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
25. 25.True or false: “test on many groups” helps reduce bias. (a) True (b) False
26. 26.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
27. 27.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
28. 28.True or false: “fix wrong labels” adds to bias. (a) False (b) True
29. 29.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
30. 30.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
31. 31.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) ask different people (d) fix wrong labels
33. 33.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) check who is missing (d) add varied examples
34. 34.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) add varied examples (d) ignore complaints
35. 35.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) use one group only (d) test on one group only
36. 36.True or false: “add more of the same” adds to bias. (a) False (b) True
37. 37.True or false: “ask different people” adds to bias. (a) False (b) True
38. 38.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
39. 39.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
40. 40.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) fix wrong labels (d) test on many groups

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